AI Transformation Architect (PDLC)

AI Transformation Architect (PDLC) / Implementation Specialist

Experience: 10+ Years

Location: St. Louis, MO (Onsite)

Job Overview

We are seeking an AI Transformation Architect / Implementation Specialist responsible for driving AI adoption across the Product Development Lifecycle (PDLC). This role will work closely with engineering, product, QA, DevOps, and platform teams to implement AI-driven development practices, improve developer productivity, and establish scalable AI enablement frameworks across enterprise environments.

Key Responsibilities

Drive AI adoption across software development and engineering workflowsEmbed with engineering and product teams to implement AI-assisted development practicesEvaluate and integrate generative AI tools into existing SDLC/PDLC processesDefine AI usage standards, governance models, and best practicesCreate reusable playbooks, templates, prompt libraries, and reference architecturesIntegrate AI capabilities into IDEs, CI/CD pipelines, testing frameworks, and developer platformsConduct workshops, enablement sessions, and hands-on coaching for engineering teamsCollaborate with DevOps, security, compliance, and platform teams to implement responsible AI practicesDefine and track metrics related to developer productivity, cycle time, test coverage, and operational efficiencySupport AI-driven automation initiatives across development, testing, deployment, and operationsDrive change management and enterprise-wide AI transformation initiativesPrototype and demonstrate AI use cases that improve software delivery outcomesEnsure AI adoption aligns with governance, security, compliance, and risk management standardsRequired Skills & Experience

Software Development Lifecycle (SDLC/PDLC)Generative AI tools and developer assistantsGitHub Copilot / Claude Code / AI coding assistantsAI adoption and engineering transformationDevOps and CI/CD practicesJenkins / GitHub ActionsKubernetes and DockerTerraform and Infrastructure as Code (IaC)Azure / AWS / GCP cloud platformsGitOps methodologiesMonitoring, logging, and observability platformsAI governance, security, and compliancePrompt engineering and AI workflow optimizationDeveloper productivity and platform engineeringAgile and enterprise delivery methodologiesChange management and cross-functional collaborationPreferred Background

Experience working in large enterprise or regulated environmentsPrior experience leading AI enablement or digital transformation initiativesStrong consulting, coaching, or internal transformation experienceExperience building reusable frameworks, standards, and enablement assetsStrong communication and stakeholder management skills