AI architect || Offshore

ZensarIndiaOn-siteFull-timeMid level, 2–5 yearsListed 4 hours ago

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About this role

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.