Principal AI Solutions Architect
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate like EEO, etc. Must preserve all substantive info.
We need to parse the posting.
Company Overview: description of company. Could be "About the company" but not listed as heading. The allowed headings are About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can also include other headings? The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., implying these are examples, but we should likely stick to these headings. However we need to include sections that have content. The posting includes: Company Overview, Position Overview, Your Growth Path, Your AI-Augmented Workflow, What You’ll Do (with subsections), Who You Are, Nice to Have, Why Blue Orange IC+, Compensation & Benefits.
We need to map to allowed headings. Possibly we can use About the role for Position Overview + Your Growth Path + Your AI-Augmented Workflow? But we need to preserve all substantive info; we can't lose details. We could create multiple sections with those headings, each containing relevant content.
We need to decide which headings to use:
- About the role: could contain Position Overview, Your Growth Path, Your AI-Augmented Workflow.
- Responsibilities: could contain What You’ll Do sections (Technical Solution Leadership, Client-Facing Expertise, Vertical Domain Development, Pre-Sales & Growth Support).
- Requirements: could contain Who You Are (mandatory requirements).
- Qualifications: could contain Nice to Have? Or maybe Qualifications for required qualifications? But we already have Requirements for mandatory. Qualifications could be for preferred qualifications (Nice to Have). However the instruction says use headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have Qualifications for nice-to-have.
- Skills: maybe we could extract skills from Who You Are? But we could also put technical skills there. However we already have Requirements covering experience. Might be redundant. Better to follow: Requirements = mandatory experience/qualifications. Qualifications = preferred qualifications (nice to have). Skills = maybe list of technical skills (AI/ML, cloud platforms, etc). But we could also put them under Requirements. However we need to avoid thin sections. Let's see.
We have a lot of content; we can create sections:
About the role
containing Position Overview, Your Growth Path, Your AI-Augmented Workflow.
Responsibilities
containing the bullet points under What You’ll Do (Technical Solution Leadership, Client-Facing Expertise, Vertical Domain Development, Pre-Sales & Growth Support). We'll need to format as - for each duty.
Requirements
containing Who You Are (the numbered list). We'll need to convert each numbered item into - .
Qualifications
containing Nice to Have list.
Benefits
containing Compensation & Benefits details: Base Salary, Bonus Structure, Healthcare, Retirement, Time Off, Work Setup, Development, Events, etc. Also maybe Pay section? But we have Benefits heading; we could also have Pay heading for base salary and bonus. However we have Benefits heading; we can include compensation details there. The instruction says include a section ONLY when posting has real specific content. We have compensation details, so we can have Benefits. Could also have Pay section for base salary and bonus, but we can combine.
We also have Schedule? Not mentioned; work setup mentions hybrid, but not schedule specifics. Could we create Schedule section? The posting says "Based in New York City or willing to relocate; hybrid work model with regular in-office presence." That's about work location, not schedule. No explicit schedule like hours. So we should not create Schedule section because no specific schedule content.
We also need to avoid filler like "commensurate with experience". Not present.
We must remove boilerplate: EEO, equal-opportunity, scam-warning, background checks line maybe? The line "Background checks may be required for certain positions/projects." is not exactly EEO but could be considered boilerplate; but it's substantive? It's a condition. Might be considered minor metadata; we could drop it. The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." Background checks line is legal? Might be considered boilerplate; safer to drop it. Also "Blue Orange Digital is an equal-opportunity employer." drop.
We also need to not repeat job title as heading. We'll not.
We need to output only HTML fragment, no /, no markdown fences.
Let's craft.
Structure:
About the role
Company overview? Actually About the role should include position overview etc. We'll include paragraphs.
We'll need to include company overview? Not required but could be part of About the role? The instruction says About the role heading for section headings; we can include company overview there as part of role context. It's substantive.
Let's write:
About the role
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. With 250+ production deployments, a 95% strategy-to-build conversion rate, and delivery speeds 3–4x faster than traditional consulting, Blue Orange operates at the cutting edge of generative AI, agentic systems, and machine learning. We are scaling our practice by vertical — and we need senior technical leaders who can anchor an industry domain with hands-on credibility and client trust.
We are looking for a Principal AI Solutions Architect to serve as our most senior technical IC within a designated industry vertical — such as financial services, healthcare, private equity, retail, or media. This is a hands-on, client-facing role for someone who architects AI solutions, leads complex technical engagements, and becomes the person clients call when the problem is hard. The ideal candidate has a career arc similar to our current senior technical leaders: a progression from hands-on data engineering and cloud architecture through AI/ML solution design, evolving into a strategic, client-facing technologist who can go deep with engineering teams and wide with executive stakeholders. You speak the language of both the technology and the industry you serve — and you bring the credibility that comes from having built and shipped production AI systems, not just advised on them.
Your Growth Path: This role is explicitly designed as an IC-to-practice-lead trajectory. On day one, your job is to be the best solutions architect in your vertical — winning client trust, delivering exceptional technical work, and building domain expertise that differentiates Blue Orange in the market. Over time, as you accumulate wins and develop relationships, you will have the opportunity to grow into full practice leadership: owning a P&L, building and managing a team, and setting the strategic direction for your vertical. We will invest in your development with executive coaching, leadership exposure, and increasing scope — but the foundation is technical excellence and client impact first.
Your AI-Augmented Workflow: As a Principal at Blue Orange, you will operate with an augmented workflow powered by your own automation suite of AI tools and virtual agents. From client research and architecture documentation to competitive analysis and proposal development, your digital labor force handles the heavy lifting so you can focus on what matters most: solving hard technical problems, building client trust, and designing systems that deliver real business impact. You will continuously refine and expand this bot ecosystem as part of your daily practice — modeling the tech-forward culture we bring to our clients.
Then Responsibilities:
Responsibilities
- Technical Solution Leadership: Architect end-to-end AI solutions for clients in your vertical — from discovery and requirements through system design, technology selection, and delivery oversight. You own the technical vision for your engagements and ensure solutions are production-grade, scalable, and aligned to business outcomes.
- Provide hands-on architectural guidance across AI/ML pipelines, agentic systems, LLM deployments, cloud infrastructure (AWS, Azure, Databricks, Snowflake), and modern data platforms — drawing on real experience building and shipping these systems in production.
- Lead technical deep-dives, design reviews, and architecture sessions with client engineering teams. You set the technical bar for quality, and delivery teams look to you for guidance on complex problems.
- Evaluate emerging AI frameworks, foundation models, agentic architectures, and tooling — separating what’s production-ready from what’s hype, and bringing the best forward for your clients and your vertical.
- Client-Facing Expertise: Serve as the trusted technical advisor to senior stakeholders within your vertical — leading AI strategy workshops, technology assessments, and roadmap sessions that translate cutting-edge AI capabilities into concrete business value.
- Conduct AI readiness assessments, technology due diligence, and build business cases that connect AI investments to measurable ROI — speaking the language of both the technology and the industry.
- Build and maintain deep, trust-based relationships with client technical leaders and executives. You are the person they call when they need honest, expert guidance on their AI strategy.
- Present at industry conferences, author thought leadership content, and represent Blue Orange in technical forums — building the firm’s reputation as the definitive AI partner for your vertical.
- Vertical Domain Development: Develop deep domain expertise in your vertical — understanding the business models, regulatory landscape, data ecosystems, and competitive dynamics that shape how AI creates value in your industry.
- Build a library of reference architectures, solution accelerators, and reusable patterns tailored to your vertical — enabling faster delivery, stronger proposals, and differentiated positioning.
- Identify the highest-value AI use cases for your industry and codify them into repeatable engagement frameworks that can scale across multiple clients.
- Leverage your orchestrated bot network and automation stack for client research, competitive intelligence, industry benchmarking, and proposal development — operating at a speed and depth that traditional architects cannot match.
- Pre-Sales & Growth Support: Partner with Account Executives, PE Channel Partners, and the sales team to support pre-sales activities within your vertical — scoping engagements, validating technical feasibility, and presenting to prospective clients with both technical authority and industry context.
- Identify expansion opportunities within existing client accounts, leveraging your domain expertise and client relationships to spot where AI can solve adjacent problems.
- Provide market feedback to leadership on client needs, competitive dynamics, and emerging opportunities in your vertical — shaping how Blue Orange invests and positions itself.
Requirements:
Requirements
- 10–15+ years of progressive experience in data engineering, cloud architecture, AI/ML, and technology consulting — with a clear trajectory from hands-on technical roles to strategic, client-facing solution architecture.
- Deep, current technical credibility in AI/ML, cloud platforms (AWS, Azure, GCP), modern data infrastructure (Databricks, Snowflake, dbt), and emerging areas like agentic AI, LLMs, and generative AI. You can whiteboard an architecture, review code, and present to a board — all in the same week.
- Genuine expertise in a specific industry vertical (e.g., financial services, healthcare, private equity, retail, media,
About the role
containing Position Overview, Your Growth Path, Your AI-Augmented Workflow.Responsibilities
containing the bullet points under What You’ll Do (Technical Solution Leadership, Client-Facing Expertise, Vertical Domain Development, Pre-Sales & Growth Support). We'll need to format as- for each duty.
Requirements
containing Who You Are (the numbered list). We'll need to convert each numbered item into - .
Qualifications
containing Nice to Have list.Benefits
containing Compensation & Benefits details: Base Salary, Bonus Structure, Healthcare, Retirement, Time Off, Work Setup, Development, Events, etc. Also maybe Pay section? But we have Benefits heading; we could also have Pay heading for base salary and bonus. However we have Benefits heading; we can include compensation details there. The instruction says include a section ONLY when posting has real specific content. We have compensation details, so we can have Benefits. Could also have Pay section for base salary and bonus, but we can combine. We also have Schedule? Not mentioned; work setup mentions hybrid, but not schedule specifics. Could we create Schedule section? The posting says "Based in New York City or willing to relocate; hybrid work model with regular in-office presence." That's about work location, not schedule. No explicit schedule like hours. So we should not create Schedule section because no specific schedule content. We also need to avoid filler like "commensurate with experience". Not present. We must remove boilerplate: EEO, equal-opportunity, scam-warning, background checks line maybe? The line "Background checks may be required for certain positions/projects." is not exactly EEO but could be considered boilerplate; but it's substantive? It's a condition. Might be considered minor metadata; we could drop it. The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." Background checks line is legal? Might be considered boilerplate; safer to drop it. Also "Blue Orange Digital is an equal-opportunity employer." drop. We also need to not repeat job title as heading. We'll not. We need to output only HTML fragment, no /, no markdown fences. Let's craft. Structure:About the role
Company overview? Actually About the role should include position overview etc. We'll include paragraphs. We'll need to include company overview? Not required but could be part of About the role? The instruction says About the role heading for section headings; we can include company overview there as part of role context. It's substantive. Let's write:
About the role
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. With 250+ production deployments, a 95% strategy-to-build conversion rate, and delivery speeds 3–4x faster than traditional consulting, Blue Orange operates at the cutting edge of generative AI, agentic systems, and machine learning. We are scaling our practice by vertical — and we need senior technical leaders who can anchor an industry domain with hands-on credibility and client trust.
We are looking for a Principal AI Solutions Architect to serve as our most senior technical IC within a designated industry vertical — such as financial services, healthcare, private equity, retail, or media. This is a hands-on, client-facing role for someone who architects AI solutions, leads complex technical engagements, and becomes the person clients call when the problem is hard. The ideal candidate has a career arc similar to our current senior technical leaders: a progression from hands-on data engineering and cloud architecture through AI/ML solution design, evolving into a strategic, client-facing technologist who can go deep with engineering teams and wide with executive stakeholders. You speak the language of both the technology and the industry you serve — and you bring the credibility that comes from having built and shipped production AI systems, not just advised on them.
Your Growth Path: This role is explicitly designed as an IC-to-practice-lead trajectory. On day one, your job is to be the best solutions architect in your vertical — winning client trust, delivering exceptional technical work, and building domain expertise that differentiates Blue Orange in the market. Over time, as you accumulate wins and develop relationships, you will have the opportunity to grow into full practice leadership: owning a P&L, building and managing a team, and setting the strategic direction for your vertical. We will invest in your development with executive coaching, leadership exposure, and increasing scope — but the foundation is technical excellence and client impact first.
Your AI-Augmented Workflow: As a Principal at Blue Orange, you will operate with an augmented workflow powered by your own automation suite of AI tools and virtual agents. From client research and architecture documentation to competitive analysis and proposal development, your digital labor force handles the heavy lifting so you can focus on what matters most: solving hard technical problems, building client trust, and designing systems that deliver real business impact. You will continuously refine and expand this bot ecosystem as part of your daily practice — modeling the tech-forward culture we bring to our clients.
Then Responsibilities:Responsibilities
- Technical Solution Leadership: Architect end-to-end AI solutions for clients in your vertical — from discovery and requirements through system design, technology selection, and delivery oversight. You own the technical vision for your engagements and ensure solutions are production-grade, scalable, and aligned to business outcomes.
- Provide hands-on architectural guidance across AI/ML pipelines, agentic systems, LLM deployments, cloud infrastructure (AWS, Azure, Databricks, Snowflake), and modern data platforms — drawing on real experience building and shipping these systems in production.
- Lead technical deep-dives, design reviews, and architecture sessions with client engineering teams. You set the technical bar for quality, and delivery teams look to you for guidance on complex problems.
- Evaluate emerging AI frameworks, foundation models, agentic architectures, and tooling — separating what’s production-ready from what’s hype, and bringing the best forward for your clients and your vertical.
- Client-Facing Expertise: Serve as the trusted technical advisor to senior stakeholders within your vertical — leading AI strategy workshops, technology assessments, and roadmap sessions that translate cutting-edge AI capabilities into concrete business value.
- Conduct AI readiness assessments, technology due diligence, and build business cases that connect AI investments to measurable ROI — speaking the language of both the technology and the industry.
- Build and maintain deep, trust-based relationships with client technical leaders and executives. You are the person they call when they need honest, expert guidance on their AI strategy.
- Present at industry conferences, author thought leadership content, and represent Blue Orange in technical forums — building the firm’s reputation as the definitive AI partner for your vertical.
- Vertical Domain Development: Develop deep domain expertise in your vertical — understanding the business models, regulatory landscape, data ecosystems, and competitive dynamics that shape how AI creates value in your industry.
- Build a library of reference architectures, solution accelerators, and reusable patterns tailored to your vertical — enabling faster delivery, stronger proposals, and differentiated positioning.
- Identify the highest-value AI use cases for your industry and codify them into repeatable engagement frameworks that can scale across multiple clients.
- Leverage your orchestrated bot network and automation stack for client research, competitive intelligence, industry benchmarking, and proposal development — operating at a speed and depth that traditional architects cannot match.
- Pre-Sales & Growth Support: Partner with Account Executives, PE Channel Partners, and the sales team to support pre-sales activities within your vertical — scoping engagements, validating technical feasibility, and presenting to prospective clients with both technical authority and industry context.
- Identify expansion opportunities within existing client accounts, leveraging your domain expertise and client relationships to spot where AI can solve adjacent problems.
- Provide market feedback to leadership on client needs, competitive dynamics, and emerging opportunities in your vertical — shaping how Blue Orange invests and positions itself.
Requirements
- 10–15+ years of progressive experience in data engineering, cloud architecture, AI/ML, and technology consulting — with a clear trajectory from hands-on technical roles to strategic, client-facing solution architecture.
- Deep, current technical credibility in AI/ML, cloud platforms (AWS, Azure, GCP), modern data infrastructure (Databricks, Snowflake, dbt), and emerging areas like agentic AI, LLMs, and generative AI. You can whiteboard an architecture, review code, and present to a board — all in the same week.
- Genuine expertise in a specific industry vertical (e.g., financial services, healthcare, private equity, retail, media,