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Location
In office (India)
Seniority
Staff

First seen by Alion on Nov 4, 2026. Hexaware Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hexaware Technologies is a global IT and business process services company headquartered in Navi Mumbai, India, providing cloud, data, AI, application development, enterprise platform and digital transformation services. Founded in 1990, it serves clients in banking, financial services, healthcare, insurance, travel, transportation, manufacturing and consumer industries, employs more than 31,600 people and is listed in India and majority-owned by The Carlyle Group. It hires Java and full stack developers, DevOps and cloud engineers, Gen AI architects, SAP consultants, delivery managers and support engineers in India, the United States, Sri Lanka, Singapore and Argentina.

Role Overview :

Design and deliver governed, agentic AI solutions that speed up software delivery for insurance and financial services clients.

You will own the architecture end to end, from knowledge layer and agents to guardrails and Azure DevOps integration, and lead client engagements from discovery to handover.

Must-have skills :

- Hands-on Python plus one of C#/.NET, Java or TypeScript; strong client communication

- Multi-agent orchestration, tool calling, planning and human-in-the-loop design

- RAG, hybrid search, vector stores and knowledge graphs of code and architecture

- Prompt and context engineering, LLM evaluation, token and cost management

- Azure DevOps APIs, CI/CD, branch policies and test automation

- Azure security: Entra ID, managed identities, Key Vault, private endpoints

- AI governance: guardrails, audit trails, PII handling and responsible-AI controls

Key responsibilities :

- Run discovery: AI maturity and SDLC assessment, use-case selection and baseline metrics.

- Own the target architecture: agent orchestration, SDLC agents, knowledge base and knowledge graph, integration and security.

- Configure and tune agents, skills, prompts and hooks on Agentic platform; no model fine-tuning.

- Turn engineering standards and policies into guardrails as code, with human approval and full audit trails.

- Integrate agents with Azure DevOps (Boards, Repos, Pipelines, Test Plans) and measure results against the baseline.

- Lead demos, steering updates and handover; keep delivery within scope and raise changes early.

- Guide architects and engineers across onshore and offshore teams.

Good to have :

- Insurance or London Market experience

- MCP and frameworks such as LangGraph, Semantic Kernel or AutoGen

- Developer productivity measurement (DORA, SPACE)

- Experience with AI-augmented SDLC adoption and coaching

Education and certifications :

- Bachelor's or Master's in Computer Science, Engineering or a related field

- Preferred: Azure AI Engineer Associate, Azure Solutions Architect Expert or TOGAF

Skills

Artificial Intelligence, Python, Generative AI, Agentic AI, RAG, Azure, Java, C#, TypeScript

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