Core AI Skills

• Strong experience in AI / GenAI / Agentic AI solution design.
• Experience designing AI-led engineering workflows.
• Hands-on understanding of prompt engineering, AI orchestration, validation workflows, and output governance.
• Ability to define AI agents, workflows, guardrails, and review mechanisms.
• Understanding of hallucination mitigation and human-in-the-loop validation.

Modernization Skills

• Experience in large-scale application modernization or legacy transformation.
• Good understanding of legacy platforms such as HP NonStop, COBOL, C++, batch processing, or mainframe-style systems.
• Ability to apply AI for:
  • code comprehension
  • reverse engineering
  • rule extraction
  • dependency mapping
  • documentation
  • test generation

Cloud & Engineering Skills

• Experience with Azure-based modern platforms.
• Good understanding of .NET / C# / API-based architecture.
• Familiarity with CI/CD, DevOps, cloud security, and engineering automation.
• Ability to work with Solution Architects and Platform Engineers to align AI outputs with target architecture.

Agile & Delivery Skills

• Strong Agile delivery experience.
• Experience working in sprint-based and phased modernization programs.
• Ability to guide distributed teams across offshore and onshore models.
• Strong stakeholder communication and technical leadership skills.

Originally posted on Himalayas