AI Modernization Engineer / Architect

Role Summary

We are seeking an AI Modernization Engineer / Architect to design and deliver AI-enabled transformation of enterprise applications. This role combines architecture-level thinking with hands-on engineering, leveraging knowledge graphs, AI copilots, multi-agent orchestration, and automation to accelerate modernization while ensuring governance, accuracy, and delivery excellence.

The ideal candidate understands how to use AI as a collaborative engineering partner to design end-to-end workflows and scalable modernization solutions.

Key Responsibilities

• Analyze and modernize legacy systems by designing scalable architecture patterns and migration strategies.
• Perform deep technical analysis and reverse engineering of existing applications, workflows, and integrations.
• Design and implement knowledge graph solutions to model enterprise systems, dependencies, and business logic.
• Build AI-driven engineering workflows using LLMs, copilots, and automation frameworks.
• Implement multi-agent orchestration using platforms such as AutoGen or similar agent frameworks.
• Define agent roles (planner, developer, tester, reviewer) to enable structured AI collaboration.
• Use AI as a design partner to accelerate workflow creation, architecture decisions, and engineering processes.
• Establish guardrails and governance mechanisms to reduce AI hallucinations and ensure traceability.
• Apply retrieval grounding techniques (KAG/RAG), validation loops, and human-in-the-loop reviews.
• Lead rapid application development and modernization using AI-assisted code generation and refactoring.
• Enable CI/CD pipelines and support cloud-native deployment strategies.
• Collaborate with cross-functional teams to ensure end-to-end delivery and quality outcomes.

Required Qualifications

• 10+ years' experience in software engineering, enterprise architecture, or modernization programs.
• Hands-on experience with AI-assisted development workflows.
• Strong background in designing scalable enterprise systems.

Technical Skills

1. AI Modernization
2. Legacy Transformation
3. Multi-Agent Systems
4. AutoGen
5. LLM Engineering
6. Knowledge Graphs / Neo4j
7. Embeddings / Semantic Search
8. KAG / RAG
9. Prompt Engineering
10. AI Governance
11. Hallucination Mitigation
12. Human-in-the-loop (HITL)
13. Microservices Architecture
14. Event-driven Architecture
15. Cloud Native (AWS/Azure/GCP)
16. CI/CD and DevOps

Programming experience (Java, Python, or similar).

Preferred Skills

1. Telecom domain experience.
2. Enterprise Architecture frameworks.

Workflow orchestration (Service now, Temporal).

AI modernization of factory environments.