AI architect || Offshore
Summary
Designs and implements AI-driven solutions for modernizing legacy systems, focusing on GenAI, Agentic AI, and Azure-based platforms while guiding distributed teams.
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.
- 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
- 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.
- 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.
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.
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.