Senior Director, AI Platform Architecture
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use - for any list of duties/requirements/benefits, and
for prose.
We must not repeat job title as heading. Do not put Job ID etc.
We need to preserve all substantive info, no invented summary.
We need to remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions.
We need to include sections only when posting has real specific content.
We need to output only HTML fragment, no /, no markdown fences.
Let's parse the posting.
Content:
- Work Schedule Standard (Mon-Fri) Environmental Conditions Office
- At PPD, Thermo Fisher’s clinical research group (CRG), we’re using digital innovation... (intro paragraph)
- About the Team: ... (paragraph)
- About the Position: ... (paragraph)
- Key Responsibilities: (list of bullet points with subheadings? Actually they have headings within responsibilities: AI Platform Strategy & Ownership, Platform Architecture & Engineering, Reusable AI Capabilities & Tooling, MLOps, Governance & Responsible AI Enablement, Federated AI Enablement, Cross-Functional Integration, Partner & Ecosystem Management, Team Leadership & Capability Building. Each with bullet points.
- Measures of Success: (list of bullet points)
- Qualifications: (list bullet points)
- Knowledge, Skills, and Abilities: (list bullet points)
- At Thermo Fisher Scientific, we are committed... (some generic statements about workplace, then "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then a list of abilities (Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening.)
- Compensation And Benefits: (paragraph about salary range, variable annual bonus, Total Rewards package details)
We need to decide sections: About the Team, About the Position, Responsibilities (Key Responsibilities), Qualifications, Knowledge, Skills, and Abilities (maybe combine as Skills?), Benefits (Compensation And Benefits), Pay (salary range), Schedule (Work Schedule Standard (Mon-Fri) Environmental Conditions Office). Also maybe Measures of Success could be under Responsibilities or separate? The instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Measures of Success could be considered part of Responsibilities or maybe a separate section like "Success Metrics". But not in the list; we could incorporate into Responsibilities or maybe omit if not matching headings. However we must preserve all substantive info; we cannot drop Measures of Success. We could include it under a heading like "Measures of Success" but that's not in the allowed list? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not exclusive. So we can use other headings if needed, as long as they are . Probably okay to add Measures of Success as its own heading.
We need to avoid filler like "commensurate with experience". Not present.
We need to use - for any list of duties/requirements/benefits. For prose, use
.
We need to not repeat job title as heading.
We need to output only HTML fragment.
Let's structure:
Work Schedule
Work Schedule Standard (Mon-Fri) Environmental Conditions Office
About the Team
[content]
About the Position
[content]
Key Responsibilities
- ... each bullet as
- with maybe subheadings? The subheadings within responsibilities are bolded headings. We could keep them as part of the
- text, maybe using inside
- . That's okay.
We need to preserve all bullet points.
Let's extract responsibilities bullet points:
AI Platform Strategy & Ownership
- Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities
- Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows
- Ensure alignment with enterprise architecture, data platform (MDP), and security strategies
- Drive a platform-first approach to AI development, enabling reuse and scalability across domains
Platform Architecture & Engineering
- Lead the design and development of the AI platform architecture, including:
- Model development, training, and deployment frameworks
- MLOps and LLMOps pipelines
- Model serving, monitoring, and lifecycle management
- Integration with data platforms (e.g., Snowflake, Databricks)
- Ensure platform supports GenAI, agentic workflows, and traditional ML use cases
- Establish standards for performance, scalability, reliability, and cost efficiency
Reusable AI Capabilities & Tooling
- Build and scale reusable AI components, including:
- Model libraries and templates
- Prompt frameworks and orchestration tools
- Workflow automation and agent frameworks
- Enable rapid development through self-service tools and developer enablement
- Reduce duplication and accelerate time-to-market through standardization and reuse
MLOps, Governance & Responsible AI Enablement
- Establish and operationalize AI lifecycle management practices, including:
- Model versioning, validation, deployment, and monitoring
- Performance tracking and drift detection
- Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform
- Ensure auditability, traceability, and adherence to regulatory and enterprise standards
Federated AI Enablement
- Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization
- Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards
- Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams
- Act as a central enablement layer supporting both AAI and product-aligned engineering teams
Cross-Functional Integration
- Partner closely with: AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness and Digital Engineering for product integration and delivery
- Ensure seamless integration of platform capabilities into AI products and workflows
- Partner & Ecosystem Management
- Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers)
- Evaluate and integrate emerging AI technologies and tools into the platform ecosystem
- Optimize the balance between build vs. buy vs. partner decisions
Team Leadership & Capability Building
- Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects
- Define skills, roles, and career paths for AI platform talent
- Drive capability building in AI engineering, platform operations, and emerging AI technologies
- Foster a culture of innovation, reliability, and continuous improvement
We need to preserve all.
Measures of Success:
- Adoption and utilization of the AI platform across CRG Digital teams
- Reduction in time-to-deploy AI solutions and increased development velocity
- Increased reuse of AI components and platform capabilities
- Strong performance of AI systems (reliability, scalability, cost efficiency)
- Effective implementation of AI governance and lifecycle management practices
- Development of a scalable and high-performing AI platform organization
Qualifications:
- Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field)
- 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles
- Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments
- Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures
- Experience operating in complex, matrixed organizations with cross-functional stakeholders
- Experience in regulated environments (healthcare/life sciences) preferred
Knowledge, Skills, and Abilities:
- Deep technical and strategic understanding of AI platform architecture and operations
- Strong systems thinking with ability to balance innovation, scalability, and governance
- Ability to translate platform capabilities into business and product impact
- Strong leadership and team-building capabilities
- Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams
- Ability to operate in a fast-paced, evolving technology landscape
Then the paragraph about At Thermo Fisher Scientific... includes bullet-like sentences: Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening.
These could be considered part of Knowledge, Skills, and Abilities or a separate "Requirements" section. But we already have Knowledge, Skills, and Abilities heading. We could incorporate those bullet points into that list. However the instruction says use
- for any list of duties/requirements/benefits. So we could add them as list items under Knowledge, Skills, and Abilities.
But the original text already has a separate paragraph: "At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then list.
We could treat the first two sentences as boilerplate? They are generic EEO statements? Might be considered boilerplate but not exactly EEO. However they are generic statements about workplace; could be considered boilerplate. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. This might be considered EEO boilerplate. Safer to remove those two sentences. Then keep the list after "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" as part of Knowledge, Skills, and Abilities (or Requirements). We'll keep them as list items.
Thus Knowledge, Skills, and Abilities list will include:
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
- Able to work upright and stationary for typical working hours.
- Ability to use and learn standard office equipment and technology with proficiency.
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
- May require as-needed travel (0-20%).
- Band 9 level role
- Location: Remote US (east coast preference).
- Relocation assistance is NOT provided.
- Must be legally authorized to work in the United States without sponsorship.
- Must be able to pass a comprehensive background check, which includes a drug screening.
But note "Band 9 level role" is not a skill but a classification; still we keep.
Now Compensation And Benefits:
We need to include Pay and Benefits sections. The instruction says include Pay and Benefits sections only if posting actually states them. It does state salary range and benefits.
We could have:
Pay
The salary range estimated for this position based in North Carolina is $167,500.00–$278,0
for prose. We must not repeat job title as heading. Do not put Job ID etc. We need to preserve all substantive info, no invented summary. We need to remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. We need to include sections only when posting has real specific content. We need to output only HTML fragment, no /, no markdown fences. Let's parse the posting. Content: - Work Schedule Standard (Mon-Fri) Environmental Conditions Office - At PPD, Thermo Fisher’s clinical research group (CRG), we’re using digital innovation... (intro paragraph) - About the Team: ... (paragraph) - About the Position: ... (paragraph) - Key Responsibilities: (list of bullet points with subheadings? Actually they have headings within responsibilities: AI Platform Strategy & Ownership, Platform Architecture & Engineering, Reusable AI Capabilities & Tooling, MLOps, Governance & Responsible AI Enablement, Federated AI Enablement, Cross-Functional Integration, Partner & Ecosystem Management, Team Leadership & Capability Building. Each with bullet points. - Measures of Success: (list of bullet points) - Qualifications: (list bullet points) - Knowledge, Skills, and Abilities: (list bullet points) - At Thermo Fisher Scientific, we are committed... (some generic statements about workplace, then "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then a list of abilities (Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening.) - Compensation And Benefits: (paragraph about salary range, variable annual bonus, Total Rewards package details) We need to decide sections: About the Team, About the Position, Responsibilities (Key Responsibilities), Qualifications, Knowledge, Skills, and Abilities (maybe combine as Skills?), Benefits (Compensation And Benefits), Pay (salary range), Schedule (Work Schedule Standard (Mon-Fri) Environmental Conditions Office). Also maybe Measures of Success could be under Responsibilities or separate? The instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Measures of Success could be considered part of Responsibilities or maybe a separate section like "Success Metrics". But not in the list; we could incorporate into Responsibilities or maybe omit if not matching headings. However we must preserve all substantive info; we cannot drop Measures of Success. We could include it under a heading like "Measures of Success" but that's not in the allowed list? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not exclusive. So we can use other headings if needed, as long as they are . Probably okay to add Measures of Success as its own heading.
We need to avoid filler like "commensurate with experience". Not present.
We need to use - for any list of duties/requirements/benefits. For prose, use
.
We need to not repeat job title as heading.
We need to output only HTML fragment.
Let's structure:
Work Schedule
Work Schedule Standard (Mon-Fri) Environmental Conditions Office
About the Team
[content]
About the Position
[content]
Key Responsibilities
- ... each bullet as
- with maybe subheadings? The subheadings within responsibilities are bolded headings. We could keep them as part of the
- text, maybe using inside
- . That's okay.
We need to preserve all bullet points.
Let's extract responsibilities bullet points:
AI Platform Strategy & Ownership
- Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities
- Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows
- Ensure alignment with enterprise architecture, data platform (MDP), and security strategies
- Drive a platform-first approach to AI development, enabling reuse and scalability across domains
Platform Architecture & Engineering
- Lead the design and development of the AI platform architecture, including:
- Model development, training, and deployment frameworks
- MLOps and LLMOps pipelines
- Model serving, monitoring, and lifecycle management
- Integration with data platforms (e.g., Snowflake, Databricks)
- Ensure platform supports GenAI, agentic workflows, and traditional ML use cases
- Establish standards for performance, scalability, reliability, and cost efficiency
Reusable AI Capabilities & Tooling
- Build and scale reusable AI components, including:
- Model libraries and templates
- Prompt frameworks and orchestration tools
- Workflow automation and agent frameworks
- Enable rapid development through self-service tools and developer enablement
- Reduce duplication and accelerate time-to-market through standardization and reuse
MLOps, Governance & Responsible AI Enablement
- Establish and operationalize AI lifecycle management practices, including:
- Model versioning, validation, deployment, and monitoring
- Performance tracking and drift detection
- Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform
- Ensure auditability, traceability, and adherence to regulatory and enterprise standards
Federated AI Enablement
- Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization
- Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards
- Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams
- Act as a central enablement layer supporting both AAI and product-aligned engineering teams
Cross-Functional Integration
- Partner closely with: AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness and Digital Engineering for product integration and delivery
- Ensure seamless integration of platform capabilities into AI products and workflows
- Partner & Ecosystem Management
- Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers)
- Evaluate and integrate emerging AI technologies and tools into the platform ecosystem
- Optimize the balance between build vs. buy vs. partner decisions
Team Leadership & Capability Building
- Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects
- Define skills, roles, and career paths for AI platform talent
- Drive capability building in AI engineering, platform operations, and emerging AI technologies
- Foster a culture of innovation, reliability, and continuous improvement
We need to preserve all.
Measures of Success:
- Adoption and utilization of the AI platform across CRG Digital teams
- Reduction in time-to-deploy AI solutions and increased development velocity
- Increased reuse of AI components and platform capabilities
- Strong performance of AI systems (reliability, scalability, cost efficiency)
- Effective implementation of AI governance and lifecycle management practices
- Development of a scalable and high-performing AI platform organization
Qualifications:
- Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field)
- 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles
- Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments
- Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures
- Experience operating in complex, matrixed organizations with cross-functional stakeholders
- Experience in regulated environments (healthcare/life sciences) preferred
Knowledge, Skills, and Abilities:
- Deep technical and strategic understanding of AI platform architecture and operations
- Strong systems thinking with ability to balance innovation, scalability, and governance
- Ability to translate platform capabilities into business and product impact
- Strong leadership and team-building capabilities
- Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams
- Ability to operate in a fast-paced, evolving technology landscape
Then the paragraph about At Thermo Fisher Scientific... includes bullet-like sentences: Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening.
These could be considered part of Knowledge, Skills, and Abilities or a separate "Requirements" section. But we already have Knowledge, Skills, and Abilities heading. We could incorporate those bullet points into that list. However the instruction says use
- for any list of duties/requirements/benefits. So we could add them as list items under Knowledge, Skills, and Abilities.
But the original text already has a separate paragraph: "At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then list.
We could treat the first two sentences as boilerplate? They are generic EEO statements? Might be considered boilerplate but not exactly EEO. However they are generic statements about workplace; could be considered boilerplate. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. This might be considered EEO boilerplate. Safer to remove those two sentences. Then keep the list after "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" as part of Knowledge, Skills, and Abilities (or Requirements). We'll keep them as list items.
Thus Knowledge, Skills, and Abilities list will include:
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
- Able to work upright and stationary for typical working hours.
- Ability to use and learn standard office equipment and technology with proficiency.
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
- May require as-needed travel (0-20%).
- Band 9 level role
- Location: Remote US (east coast preference).
- Relocation assistance is NOT provided.
- Must be legally authorized to work in the United States without sponsorship.
- Must be able to pass a comprehensive background check, which includes a drug screening.
But note "Band 9 level role" is not a skill but a classification; still we keep.
Now Compensation And Benefits:
We need to include Pay and Benefits sections. The instruction says include Pay and Benefits sections only if posting actually states them. It does state salary range and benefits.
We could have:
Pay
The salary range estimated for this position based in North Carolina is $167,500.00–$278,0
- for any list of duties/requirements/benefits. For prose, use
. We need to not repeat job title as heading. We need to output only HTML fragment. Let's structure:
Work Schedule
Work Schedule Standard (Mon-Fri) Environmental Conditions Office
About the Team
[content]
About the Position
[content]
Key Responsibilities
- ... each bullet as
- with maybe subheadings? The subheadings within responsibilities are bolded headings. We could keep them as part of the
- text, maybe using inside
- . That's okay. We need to preserve all bullet points. Let's extract responsibilities bullet points: AI Platform Strategy & Ownership - Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities - Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows - Ensure alignment with enterprise architecture, data platform (MDP), and security strategies - Drive a platform-first approach to AI development, enabling reuse and scalability across domains Platform Architecture & Engineering - Lead the design and development of the AI platform architecture, including: - Model development, training, and deployment frameworks - MLOps and LLMOps pipelines - Model serving, monitoring, and lifecycle management - Integration with data platforms (e.g., Snowflake, Databricks) - Ensure platform supports GenAI, agentic workflows, and traditional ML use cases - Establish standards for performance, scalability, reliability, and cost efficiency Reusable AI Capabilities & Tooling - Build and scale reusable AI components, including: - Model libraries and templates - Prompt frameworks and orchestration tools - Workflow automation and agent frameworks - Enable rapid development through self-service tools and developer enablement - Reduce duplication and accelerate time-to-market through standardization and reuse MLOps, Governance & Responsible AI Enablement - Establish and operationalize AI lifecycle management practices, including: - Model versioning, validation, deployment, and monitoring - Performance tracking and drift detection - Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform - Ensure auditability, traceability, and adherence to regulatory and enterprise standards Federated AI Enablement - Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization - Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards - Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams - Act as a central enablement layer supporting both AAI and product-aligned engineering teams Cross-Functional Integration - Partner closely with: AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness and Digital Engineering for product integration and delivery - Ensure seamless integration of platform capabilities into AI products and workflows - Partner & Ecosystem Management - Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers) - Evaluate and integrate emerging AI technologies and tools into the platform ecosystem - Optimize the balance between build vs. buy vs. partner decisions Team Leadership & Capability Building - Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects - Define skills, roles, and career paths for AI platform talent - Drive capability building in AI engineering, platform operations, and emerging AI technologies - Foster a culture of innovation, reliability, and continuous improvement We need to preserve all. Measures of Success: - Adoption and utilization of the AI platform across CRG Digital teams - Reduction in time-to-deploy AI solutions and increased development velocity - Increased reuse of AI components and platform capabilities - Strong performance of AI systems (reliability, scalability, cost efficiency) - Effective implementation of AI governance and lifecycle management practices - Development of a scalable and high-performing AI platform organization Qualifications: - Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field) - 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles - Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments - Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures - Experience operating in complex, matrixed organizations with cross-functional stakeholders - Experience in regulated environments (healthcare/life sciences) preferred Knowledge, Skills, and Abilities: - Deep technical and strategic understanding of AI platform architecture and operations - Strong systems thinking with ability to balance innovation, scalability, and governance - Ability to translate platform capabilities into business and product impact - Strong leadership and team-building capabilities - Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams - Ability to operate in a fast-paced, evolving technology landscape Then the paragraph about At Thermo Fisher Scientific... includes bullet-like sentences: Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening. These could be considered part of Knowledge, Skills, and Abilities or a separate "Requirements" section. But we already have Knowledge, Skills, and Abilities heading. We could incorporate those bullet points into that list. However the instruction says use
- for any list of duties/requirements/benefits. So we could add them as list items under Knowledge, Skills, and Abilities.
But the original text already has a separate paragraph: "At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then list.
We could treat the first two sentences as boilerplate? They are generic EEO statements? Might be considered boilerplate but not exactly EEO. However they are generic statements about workplace; could be considered boilerplate. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. This might be considered EEO boilerplate. Safer to remove those two sentences. Then keep the list after "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" as part of Knowledge, Skills, and Abilities (or Requirements). We'll keep them as list items.
Thus Knowledge, Skills, and Abilities list will include:
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
- Able to work upright and stationary for typical working hours.
- Ability to use and learn standard office equipment and technology with proficiency.
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
- May require as-needed travel (0-20%).
- Band 9 level role
- Location: Remote US (east coast preference).
- Relocation assistance is NOT provided.
- Must be legally authorized to work in the United States without sponsorship.
- Must be able to pass a comprehensive background check, which includes a drug screening.
But note "Band 9 level role" is not a skill but a classification; still we keep.
Now Compensation And Benefits:
We need to include Pay and Benefits sections. The instruction says include Pay and Benefits sections only if posting actually states them. It does state salary range and benefits.
We could have:
Pay
The salary range estimated for this position based in North Carolina is $167,500.00–$278,0
- . That's okay. We need to preserve all bullet points. Let's extract responsibilities bullet points: AI Platform Strategy & Ownership - Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities - Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows - Ensure alignment with enterprise architecture, data platform (MDP), and security strategies - Drive a platform-first approach to AI development, enabling reuse and scalability across domains Platform Architecture & Engineering - Lead the design and development of the AI platform architecture, including: - Model development, training, and deployment frameworks - MLOps and LLMOps pipelines - Model serving, monitoring, and lifecycle management - Integration with data platforms (e.g., Snowflake, Databricks) - Ensure platform supports GenAI, agentic workflows, and traditional ML use cases - Establish standards for performance, scalability, reliability, and cost efficiency Reusable AI Capabilities & Tooling - Build and scale reusable AI components, including: - Model libraries and templates - Prompt frameworks and orchestration tools - Workflow automation and agent frameworks - Enable rapid development through self-service tools and developer enablement - Reduce duplication and accelerate time-to-market through standardization and reuse MLOps, Governance & Responsible AI Enablement - Establish and operationalize AI lifecycle management practices, including: - Model versioning, validation, deployment, and monitoring - Performance tracking and drift detection - Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform - Ensure auditability, traceability, and adherence to regulatory and enterprise standards Federated AI Enablement - Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization - Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards - Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams - Act as a central enablement layer supporting both AAI and product-aligned engineering teams Cross-Functional Integration - Partner closely with: AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness and Digital Engineering for product integration and delivery - Ensure seamless integration of platform capabilities into AI products and workflows - Partner & Ecosystem Management - Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers) - Evaluate and integrate emerging AI technologies and tools into the platform ecosystem - Optimize the balance between build vs. buy vs. partner decisions Team Leadership & Capability Building - Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects - Define skills, roles, and career paths for AI platform talent - Drive capability building in AI engineering, platform operations, and emerging AI technologies - Foster a culture of innovation, reliability, and continuous improvement We need to preserve all. Measures of Success: - Adoption and utilization of the AI platform across CRG Digital teams - Reduction in time-to-deploy AI solutions and increased development velocity - Increased reuse of AI components and platform capabilities - Strong performance of AI systems (reliability, scalability, cost efficiency) - Effective implementation of AI governance and lifecycle management practices - Development of a scalable and high-performing AI platform organization Qualifications: - Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field) - 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles - Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments - Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures - Experience operating in complex, matrixed organizations with cross-functional stakeholders - Experience in regulated environments (healthcare/life sciences) preferred Knowledge, Skills, and Abilities: - Deep technical and strategic understanding of AI platform architecture and operations - Strong systems thinking with ability to balance innovation, scalability, and governance - Ability to translate platform capabilities into business and product impact - Strong leadership and team-building capabilities - Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams - Ability to operate in a fast-paced, evolving technology landscape Then the paragraph about At Thermo Fisher Scientific... includes bullet-like sentences: Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). Band 9 level role Location: Remote US (east coast preference). Relocation assistance is NOT provided. Must be legally authorized to work in the United States without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening. These could be considered part of Knowledge, Skills, and Abilities or a separate "Requirements" section. But we already have Knowledge, Skills, and Abilities heading. We could incorporate those bullet points into that list. However the instruction says use