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AI Transformation Architect (PDLC)

Princeton IT Services

St. Louis, Missouri • Today

Easy Apply

Contract, Third Party

Job Details

Skills

Azure
Platform Engineering
Generative AI / LLMs
Cloud Platforms (AWS
or GCP)
AI adoption across the Product Development Lifecycle (PDLC/SDLC)
Software Development (10+ years)
DevOps & CI/CD

Summary

Job Title: AI Transformation Architect (PDLC)

Location : St. Louis (MO)

Overview

This role is a hands-on, embedded individual contributor that acts as a guide and coach to product and engineering teams as they adopt AI across the Product Development Lifecycle (PDLC). Rather than managing teams or owning delivery outcomes, these practitioners work directly within teams to experiment, apply AI in real workflows, and demonstrate what is possible. Their impact comes from doing the work alongside teams, surfacing what works, and codifying repeatable patterns that others can adopt and scale.

The role is designed for innovators who thrive in ambiguity, lead through influence, and accelerate adoption by example. Success is measured by the clarity and reusability of the patterns they leave behind, not by headcount, reporting lines, or program ownership.

Role

Knowledge

Deep understanding of the full PDLC, from ideation and requirements through design, development, testing, security, deployment, and operations, including where AI can meaningfully augment each stage.
Strong working knowledge of modern AI tooling, particularly generative AI assistants, automation frameworks, developer assistances (e.g. GHCP, Claude Code), and current / emerging best practices, with the ability to evaluate and adopt tools pragmatically rather than by vendor alignment.
Solid grounding in responsible AI, including data privacy, security, model risk management, and ethical principles, with experience embedding governance and compliance controls directly into delivery workflows.
Familiarity with defining and tracking metrics to measure AI impact on engineering and product outcomes, such as cycle time, defect rates, test coverage, and operational stability.

Skills

Ability to embed directly with teams and coach through hands-on application, working shoulder-to-shoulder with engineers, product managers, and QA to apply AI in real scenarios.
Ability to define and operationalize AI standards, patterns, and best practices, including usage guidelines, prompt conventions, reference architectures, and reusable templates.
Proven capability to design and deliver enablement programs, including playbooks, training materials, workshops, and hands-on coaching that translate AI concepts into practical day-to-day application.
Technical proficiency in integrating AI solutions into existing toolchains, such as IDEs, CI/CD pipelines, testing frameworks, and monitoring platforms, including rapid prototyping to demonstrate value.
Strong communication and change leadership skills, with the ability to influence executives and earn credibility with engineering and product teams, addressing concerns and driving adoption through visible outcomes.

Abilities

Strategic thinker who can define a phased roadmap for AI adoption across the PDLC that aligns with business objectives and ties each initiative to clear value.
Strong cross-functional influencer capable of bridging product, engineering, devops, security, and compliance, ensuring AI improvements are coordinated rather than siloed.
Systems-oriented problem solver who can redesign workflows to fully leverage AI capabilities, not simply automate existing steps.
Outcome-focused and adaptable leader who drives toward measurable results while maintaining quality, safety, and compliance, and continuously refines approaches based on feedback and data.

About you

Experience

Ten or more years of experience in software development, platform engineering, or technology consulting, with significant exposure to AI-enabled or DevOps-driven transformation initiatives.
Demonstrated success working in large, complex, and regulated enterprise environments, with hands-on experience navigating governance, security, and compliance constraints.
Prior experience acting as a change agent, program lead, consultant, or internal champion, influencing teams without formal authority and engaging both senior leaders and delivery teams.
History of building repeatable assets such as playbooks, toolkits, templates, or reference models that scale beyond individual teams and reduce dependency on ongoing staff augmentation.

Outcomes

Tangible examples of AI-driven improvements you personally helped teams achieve, such as reduced cycle time, improved product quality, increased test coverage, or reduced operational toil.
Clear evidence of measurable delivery impact from prior AI initiatives, such as reduced development cycle time, increased test automation and coverage, improved production stability, or reduced operational toil.
Proven ability to translate experimentation into sustainable capability by leaving behind reusable patterns, standards, and self-sustaining practices.
Track record of helping organizations adopt AI responsibly, balancing speed with risk mitigation and embedding controls rather than treating governance as a separate gate.
Proven ability to leave behind self-sustaining capabilities, not dependency, by turning experimentation into repeatable, well-documented patterns.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10368224
Position Id: 2026-1206
Posted 19 days ago

Fitment

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Full-time

USD 200,000.00 - 300,000.00 per year

Job Details

Skills

Azure
Platform Engineering
Generative AI / LLMs
Cloud Platforms (AWS
or GCP)
AI adoption across the Product Development Lifecycle (PDLC/SDLC)
Software Development (10+ years)
DevOps & CI/CD

Summary

Job Title: AI Transformation Architect (PDLC)

Location : St. Louis (MO)

Overview

Role

Knowledge

Deep understanding of the full PDLC, from ideation and requirements through design, development, testing, security, deployment, and operations, including where AI can meaningfully augment each stage.
Strong working knowledge of modern AI tooling, particularly generative AI assistants, automation frameworks, developer assistances (e.g. GHCP, Claude Code), and current / emerging best practices, with the ability to evaluate and adopt tools pragmatically rather than by vendor alignment.
Solid grounding in responsible AI, including data privacy, security, model risk management, and ethical principles, with experience embedding governance and compliance controls directly into delivery workflows.
Familiarity with defining and tracking metrics to measure AI impact on engineering and product outcomes, such as cycle time, defect rates, test coverage, and operational stability.

Skills

Ability to embed directly with teams and coach through hands-on application, working shoulder-to-shoulder with engineers, product managers, and QA to apply AI in real scenarios.
Ability to define and operationalize AI standards, patterns, and best practices, including usage guidelines, prompt conventions, reference architectures, and reusable templates.
Proven capability to design and deliver enablement programs, including playbooks, training materials, workshops, and hands-on coaching that translate AI concepts into practical day-to-day application.
Technical proficiency in integrating AI solutions into existing toolchains, such as IDEs, CI/CD pipelines, testing frameworks, and monitoring platforms, including rapid prototyping to demonstrate value.
Strong communication and change leadership skills, with the ability to influence executives and earn credibility with engineering and product teams, addressing concerns and driving adoption through visible outcomes.

Abilities

Strategic thinker who can define a phased roadmap for AI adoption across the PDLC that aligns with business objectives and ties each initiative to clear value.
Strong cross-functional influencer capable of bridging product, engineering, devops, security, and compliance, ensuring AI improvements are coordinated rather than siloed.
Systems-oriented problem solver who can redesign workflows to fully leverage AI capabilities, not simply automate existing steps.
Outcome-focused and adaptable leader who drives toward measurable results while maintaining quality, safety, and compliance, and continuously refines approaches based on feedback and data.

About you

Experience

Ten or more years of experience in software development, platform engineering, or technology consulting, with significant exposure to AI-enabled or DevOps-driven transformation initiatives.
Demonstrated success working in large, complex, and regulated enterprise environments, with hands-on experience navigating governance, security, and compliance constraints.
Prior experience acting as a change agent, program lead, consultant, or internal champion, influencing teams without formal authority and engaging both senior leaders and delivery teams.
History of building repeatable assets such as playbooks, toolkits, templates, or reference models that scale beyond individual teams and reduce dependency on ongoing staff augmentation.

Outcomes

Tangible examples of AI-driven improvements you personally helped teams achieve, such as reduced cycle time, improved product quality, increased test coverage, or reduced operational toil.
Clear evidence of measurable delivery impact from prior AI initiatives, such as reduced development cycle time, increased test automation and coverage, improved production stability, or reduced operational toil.
Proven ability to translate experimentation into sustainable capability by leaving behind reusable patterns, standards, and self-sustaining practices.
Track record of helping organizations adopt AI responsibly, balancing speed with risk mitigation and embedding controls rather than treating governance as a separate gate.
Proven ability to leave behind self-sustaining capabilities, not dependency, by turning experimentation into repeatable, well-documented patterns.

Dice Id: 10368224
Position Id: 2026-1206
Posted 19 days ago

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Easy Apply

Contract

Senior AI Developer

Remote

•

Today

Easy Apply

Contract

100 - 110

Lead AI Factory Engineer

Remote or Kentucky

•

Today

Full-time

USD 117,600.00 - 161,700.00 per year

Technical Director, AI Enterprise Architect

No location provided

•

Today

Full-time

USD 200,000.00 - 300,000.00 per year

AI Transformation Architect (PDLC)

Skills

Summary

Dice Job Match Score™

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AI Transformation Architect (PDLC)

Job Details

Skills

Summary

Dice Job Match Score™

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