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# AI Transformation Architect (PDLC)

- **Company:** Technosoft Corporation
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $120.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Frameworks, Microsoft Azure, Code Coverage, Continuous Integration, DevOps, Github, Systems Development Life Cycle, Software Engineering, Data Logging, GitHub Copilot, Prompt Engineering, Generative AI, Infrastructure as Code (IaC), Kubernetes, Terraform, Docker, Jenkins
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1b50d34cb56f6f82

## About the Role

Do you have experience in Terraform?, * Software Development Lifecycle (SDLC/PDLC)

 * Generative AI tools and developer assistants
 * GitHub Copilot / Claude Code / AI coding assistants
 * AI adoption and engineering transformation
 * DevOps and CI/CD practices
 * Jenkins / GitHub Actions
 * Kubernetes and Docker
 * Terraform and Infrastructure as Code (IaC)
 * Azure / AWS / GCP cloud platforms
 * GitOps methodologies
 * Monitoring, logging, and observability platforms
 * AI governance, security, and compliance
 * Prompt engineering and AI workflow optimization
 * Developer productivity and platform engineering
 * Agile and enterprise delivery methodologies
 * Change management and cross-functional collaboration

Preferred Background

 * Experience working in large enterprise or regulated environments
 * Prior experience leading AI enablement or digital transformation initiatives
 * Strong consulting, coaching, or internal transformation experience
 * Experience building reusable frameworks, standards, and enablement assets
 * Strong communication and stakeholder management skills

## Description

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., * Drive AI adoption across software development and engineering workflows

 * Embed with engineering and product teams to implement AI-assisted development practices
 * Evaluate and integrate generative AI tools into existing SDLC/PDLC processes
 * Define AI usage standards, governance models, and best practices
 * Create reusable playbooks, templates, prompt libraries, and reference architectures
 * Integrate AI capabilities into IDEs, CI/CD pipelines, testing frameworks, and developer platforms
 * Conduct workshops, enablement sessions, and hands-on coaching for engineering teams
 * Collaborate with DevOps, security, compliance, and platform teams to implement responsible AI practices
 * Define and track metrics related to developer productivity, cycle time, test coverage, and operational efficiency
 * Support AI-driven automation initiatives across development, testing, deployment, and operations
 * Drive change management and enterprise-wide AI transformation initiatives
 * Prototype and demonstrate AI use cases that improve software delivery outcomes
 * Ensure AI adoption aligns with governance, security, compliance, and risk management standards


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