AI Adoption Coach – Product Development Lifecycle; PDLC

Ofallon, United States | Posted on 06/25/2026

We provide multi-industry IT solutions across the US and India, including commercial enterprises and state and federal government. Collaborating with clients to determine their business needs, we combine years of knowledge & expertise to develop a strategy that drives results and promotes growth. Our team is dedicated to guiding your business to the forefront through an innovative suite of customized, IT solutions.

CEdge has an opportunity for aAI Adoption Coach – Product Development Lifecycle. This role is located in St. Louis/ O'Fallon, MO
. If you are ready to work alongside World Renowned Technology experts, and carry the skills below, this is the opportunity that will inevitably take your career to unbelievable levels! We are looking for a candidate that has expertise in high volume, low latency transaction processing systems (such as payments transaction switching, high frequency trading systems or global real-time event streaming systems etc.)

– Experience with various coding languages Java, Go, C++, ESQL, etc. This individual will be part of an important initiative to deliver a pivotal project for our client. If you are motivated to be a part of fast-paced environment, and have lead a team with diverse skills and experience, please apply!

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.

• 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 assistants (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.

• 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 tool chains, 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.

• 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…