Agentic AI Engineer, Senior - Anthropic/Claude
or drop it. The recruiting end date is minor metadata; we could put in a p. We need sections: About the role: likely the introductory paragraph(s) describing the team and mission. Responsibilities: bullet list of duties. Requirements: maybe the required qualifications? Actually they have Qualifications Required and Preferred. We can treat Qualifications as required qualifications, Skills as skills list. Benefits: they mention discretionary annual incentive program, maybe also travel up to 50%? That's not a benefit but a requirement. Benefits: maybe not explicit besides incentive program. They didn't list health etc. So we may not include Benefits unless there is real specific content. They mention "You may also be eligible to participate in a discretionary annual incentive program". That's a benefit. So we can include Benefits section with that. Pay: they gave wage range $122,000 to $240,500. So include Pay. Schedule: they mention ability to travel up to 50% on average. That's not schedule but maybe schedule? Not explicit. No schedule info like full-time, hours. So we should not create Schedule section unless posting actually states them. It does not. So omit Schedule. We must not create sections with filler like "commensurate with experience". Avoid. We need to use
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information. Let's extract.
Intro paragraph: "Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements."
Then "Recruiting for this role ends on 09/30/2026." That's minor metadata; we can put in a p.
Then "Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements." Then bullet list of responsibilities.
Let's list responsibilities:
- Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
- Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
- Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
- Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
- Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
- Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
- Manage changes to scope, schedule, and cost in line with the engagement's change management process
- Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
- Maintain clear, consistent communication with client stakeholders and internal engagement leadership
Then "You'll be deployed onto client engagements that typically involve one or more of the following:" bullet list:
- Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
- Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
- Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
- Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
- Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions
These could be part of responsibilities as well; but we can include them under Responsibilities.
Then "A successful candidate would possess these skills:" bullet list:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
These are skills.
Then "The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively." This could be About the role or team description; maybe we incorporate into About the role.
Then "Qualifications Required:" list:
- 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
- 2+ years of hands-on experience developing AI/ML applications in Python
- At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
- At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
- At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
- At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
- 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Then "Preferred:" list:
- Experience in consulting or other client-facing delivery roles
- Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
- Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
- Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
- Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
- Cloud certification(s) - AWS, Azure, or Google Cloud
- Experience creating client workshop collateral and leading interactive working sessions
- Experience presenting technical content to both large and small audiences
Then compensation: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
Thus Pay section: include range and mention discretionary annual incentive program.
Benefits section: maybe just the discretionary annual incentive program? But that's also compensation. Could treat as benefit. We'll put Benefits: discretionary annual incentive program.
We need to avoid repeating content. We'll structure:
About the role
...intro paragraphs...
Responsibilities
- ...list...
Skills
- ...list...
Qualifications
- ...required qualifications...
Preferred Qualifications
maybe we can combine Preferred into Qualifications? But we have Qualifications section for required; we could add another section Preferred Qualifications. The instruction: Prefer a few substantive sections over many thin ones. But we have required and preferred; we could combine into Qualifications with subheadings? But we must use for section headings only; we cannot have subheadings other than h3. Could we have two sections: Qualifications (required) and Preferred Qualifications. That's okay.
But we also have Skills section separate from Qualifications. Could we merge Skills into Qualifications? The instruction: Use sections only when posting has real specific content. It does have skills list; we can keep Skills.
Thus sections: About the role, Responsibilities, Skills, Qualifications, Preferred Qualifications, Pay, Benefits.
We must not include Schedule.
Now we need to ensure we preserve all substantive info. Let's craft.
About the role paragraph: combine the introductory paragraphs and team description.
Let's write:
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data,
for prose. We need to preserve all substantive information. Let's extract. Intro paragraph: "Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements." Then "Recruiting for this role ends on 09/30/2026." That's minor metadata; we can put in a p. Then "Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements." Then bullet list of responsibilities. Let's list responsibilities: - Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream - Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork - Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout - Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout - Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve - Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery - Manage changes to scope, schedule, and cost in line with the engagement's change management process - Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery - Maintain clear, consistent communication with client stakeholders and internal engagement leadership Then "You'll be deployed onto client engagements that typically involve one or more of the following:" bullet list: - Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment - Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails - Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration - Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection - Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions These could be part of responsibilities as well; but we can include them under Responsibilities. Then "A successful candidate would possess these skills:" bullet list: - Ability to work independently and collaborate as part of a team - Effective written and verbal communication skills - Meticulous attention to detail and quality of work product - Ability to build and sustain professional relationships - Ability to lead projects or workstreams - Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment - Strong interpersonal skills and professional demeanor - Ability to meet deadlines - Ability to provide clear guidance to others These are skills. Then "The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively." This could be About the role or team description; maybe we incorporate into About the role. Then "Qualifications Required:" list: - 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems - 2+ years of hands-on experience developing AI/ML applications in Python - At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls - At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations - At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform - At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions - 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field - Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve - Limited immigration sponsorship may be available Then "Preferred:" list: - Experience in consulting or other client-facing delivery roles - Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases - Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API - Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance - Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F) - Cloud certification(s) - AWS, Azure, or Google Cloud - Experience creating client workshop collateral and leading interactive working sessions - Experience presenting technical content to both large and small audiences Then compensation: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance." Thus Pay section: include range and mention discretionary annual incentive program. Benefits section: maybe just the discretionary annual incentive program? But that's also compensation. Could treat as benefit. We'll put Benefits: discretionary annual incentive program. We need to avoid repeating content. We'll structure:
About the role
...intro paragraphs...
Responsibilities
- ...list...
Skills
- ...list...
Qualifications
- ...required qualifications...
Preferred Qualifications
maybe we can combine Preferred into Qualifications? But we have Qualifications section for required; we could add another section Preferred Qualifications. The instruction: Prefer a few substantive sections over many thin ones. But we have required and preferred; we could combine into Qualifications with subheadings? But we must usefor section headings only; we cannot have subheadings other than h3. Could we have two sections: Qualifications (required) and Preferred Qualifications. That's okay. But we also have Skills section separate from Qualifications. Could we merge Skills into Qualifications? The instruction: Use sections only when posting has real specific content. It does have skills list; we can keep Skills. Thus sections: About the role, Responsibilities, Skills, Qualifications, Preferred Qualifications, Pay, Benefits. We must not include Schedule. Now we need to ensure we preserve all substantive info. Let's craft. About the role paragraph: combine the introductory paragraphs and team description. Let's write:
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data,