AI Delivery Architect: Responsible AI & Transformation

Veriipro; O’Fallon (MO); On-site; USD 140,000 - 200,000; Full time

Job summary

Veriipro is seeking a senior AI Transformation Lead to embed AI into enterprise delivery workflows. You will define standards, reference architectures, and reusable assets while driving adoption across engineering, product, QA, DevOps, and security teams.

You will build playbooks, workshops, and training programs, and rapidly prototype AI use cases, ensuring governance and responsible AI practices are embedded in every phase.

Qualifications

• 10+ years in software engineering or tech consulting with AI/DevOps exposure.
• Experience in large, regulated enterprise environments with governance constraints.
• Proven change agent influencing senior leadership without authority.
• Proven ability to create scalable AI assets (playbooks, templates, frameworks).

Responsibilities

• Work directly with engineering, product, and QA to embed AI into delivery workflows.
• Define AI standards, patterns, prompt guidelines, and reference architectures.
• Build and deliver enablement programs (playbooks, workshops, training, coaching).
• Integrate AI into toolchains (IDE, CI/CD, testing, monitoring) and prototype use cases.
• Drive adoption through communication, executive influence, and measurable outcomes.
• Establish a phased AI adoption roadmap aligned to business value.
• Ensure AI improvements cross-functional across engineering, DevOps, security, and compliance.
• Redesign workflows to maximize AI value beyond just automation.

Skills

PDLC optimization

GenAI tooling evaluation

Responsible AI governance

AI metrics & measurement

Job description

Veriipro is seeking a senior AI Transformation Lead to embed AI into enterprise delivery workflows. You will define standards, reference architectures, and reusable assets while driving adoption across engineering, product, QA, DevOps, and security teams.

You will build playbooks, workshops, and training programs, and rapidly prototype AI use cases, ensuring governance and responsible AI practices are embedded in every phase.