Agentic AI Architect

USA Remote EST

Contract

The Agentic AI PDLC Engineering Transformation Architect will lead the transformation of CRGs software engineering organization from traditional Agile development into an AI-augmented agentic engineering operating model. This leader will define the architecture engineering practices governance platforms and adoption strategy required to embed AI agents throughout the Product Development Life Cycle (PDLC) enabling engineers product managers QA DevOps security validation and operations teams to work alongside autonomous AI agents. The role combines enterprise architecture AI engineering software modernization platform engineering DevSecOps organizational transformation and clinical software delivery. This individual will build the blueprint that enables CRG engineering teams to deliver software faster with higher quality while maintaining regulatory compliance (GxP FDA 21 CFR Part 11 HIPAA GDPR EU CRA).

• Develop the enterprise roadmap for AI-driven software engineering.
• Design the future-state AI-native SDLC operating model.
• Lead enterprise-wide engineering transformation initiatives.
• Create the business case for AI adoption including productivity improvements and ROI.
• Develop maturity models for AI-enabled software engineering.
• Create transformation metrics and executive dashboards.

• Design an enterprise Agentic AI engineering architecture supporting various agents including Product Management Business Analyst Requirements Engineering Architecture UX Design Software Engineering Test Engineering Security Compliance DevOps Documentation Release Management and Site Reliability Agents.
• Define orchestration patterns between autonomous agents.
• Design Human AI collaboration workflows.
• Develop governance for multi-agent systems.

• Define the architecture for an enterprise AI Engineering Harness including LLM Gateway Prompt Management Context Management RAG Platform Knowledge Graph Vector Database MCP Servers AI Memory Workflow Orchestration Agent Registry Tool Registry Policy Engine Observability Evaluation Framework Model Gateway Security Framework Model Routing and Enterprise Knowledge Integration.

• Modernize software delivery practices using AI.
• Introduce Spec-Driven Development AI Pair Programming Autonomous Code Generation AI Code Reviews AI Refactoring AI Documentation Automated Architecture Reviews Engineering Knowledge Management Agentic DevSecOps Autonomous Test Generation AI Performance Optimization and AI Release Management.

• Define enterprise reference architectures for AI Engineering Platform Agentic Application Architecture Developer Experience Platform Engineering Cloud Architecture Microservices API Strategy Data Platforms Event Architecture Knowledge Architecture and AI Infrastructure.

• Ensure AI-enabled engineering complies with FDA GAMP5 HIPAA GDPR EU Cyber Resilience Act ISO 27001 SOC2 Clinical Software Validation 21 CFR Part 11.
• Develop AI governance and validation processes.
• Define Responsible AI standards.
• Develop audit-ready AI engineering practices.

• Establish engineering standards for Coding Architecture Testing Security Documentation Prompt Engineering Agent Design LLM Evaluation Agent Evaluation AI Safety Knowledge Management Reusable Components Developer Experience.

• Evaluate enterprise AI platforms including OpenAI Azure AI Anthropic Google Gemini AWS Bedrock NVIDIA AI Enterprise Ollama LangGraph CrewAI AutoGen Semantic Kernel LangChain PydanticAI MCP GitHub Copilot Cursor Windsurf Claude Code Amazon Q Azure DevBox.

• Lead enterprise AI adoption.
• Coach engineering leaders.
• Develop AI enablement programs.
• Create AI engineering playbooks.
• Develop training and certification.
• Establish Communities of Practice.
• Create engineering KPIs.
• Measure AI adoption.

• Bachelors degree in Computer Science Engineering or related discipline. Masters degree preferred.
• 12 years of enterprise software engineering experience.
• 8 years leading enterprise architecture initiatives.
• 5 years leading cloud-native engineering transformations.
• Experience leading large Agile organizations (200 engineers preferred).
• Experience with enterprise software modernization.
• Experience implementing DevSecOps at scale.
• Experience delivering regulated healthcare or life sciences software.
• Strong understanding of AI engineering platforms.
• Experience implementing Generative AI solutions in enterprise environments.

• Clinical Research Clinical Trials Electronic Data Capture Clinical Data Management Pharmacovigilance Medical Devices Laboratory Systems Digital Health Bioinformatics Healthcare SaaS Life Sciences GxP Systems.
• Thermo Fisher CRG ecosystem experience is highly desirable.

• AI Generative AI Large Language Models Agentic AI Autonomous Agents RAG Knowledge Graphs Prompt Engineering Fine Tuning LLMOps Model Evaluation AI Safety MCP Context Engineering.

• Python Java C# TypeScript React REST APIs GraphQL Microservices Kubernetes Docker GitHub Azure DevOps Terraform CI/CD.

• Azure AWS Google Cloud Databricks Snowflake PostgreSQL Redis Vector Databases Neo4j.

• LangGraph CrewAI AutoGen Semantic Kernel PydanticAI LangChain LlamaIndex OpenAI SDK Anthropic SDK Ollama Azure AI Foundry GitHub Copilot Enterprise Cursor.

• Strategic thinking Executive communication Enterprise architecture Engineering leadership Innovation Cross-functional collaboration Influencing without authority Technology evangelism Organizational transformation Change leadership Coaching Executive presentations Vendor management Financial acumen.