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Hitachi Solutions, Ltd. in Chennai region is seeking an AI Software Engineer to own the end-to-end architecture of an AI-assisted migration platform and lead a skilled AI/automation engineering team.
You will design agent architectures, integrate LLMs across Anthropic/OpenAI/Azure OpenAI, and ensure secure Azure cloud deployment. The role emphasizes driving AI/ML strategy, complex data requirements, and back-end parsing/conversion engines to convert Nintex workflows to Power Automate logic.
Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.
Our Competitive Edge
We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners.
We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings.
What is it like working here?
We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees.
AI Software Engineer:
Own the end-to-end architecture of the AI-assisted migration platform — agent/skill/harness design, AI-in-the-loop bounding of LLM output, and Azure cloud architecture (App Services, Functions, Key Vault, Azure AD).
Drive AI/ML strategy: build-vs-buy and model selection calls, fine-tuning vs. prompting and cost/latency trade-offs, and definition of fidelity scoring and gap-analysis evaluation metrics.
Lead delivery and stakeholder management — scope feasibility studies vs. production builds, define data requirements with customer IT teams, and triage client edge-case escalations into a prioritised backlog.
Lead and mentor a 3–8 person AI/automation engineering team across classical and prompt-engineering disciplines, while owning migration risk, rollback strategy, and security/credential review.
Develop AI/LLM components — prompt engineering with schema-constrained output, LLM API integration (Anthropic/OpenAI/Azure OpenAI), and RAG or classification pipelines that map legacy actions to modern equivalents.
Integrate the solution with the surrounding ecosystem via REST APIs, webhooks, Azure CLI/Azure AD authentication flows, and MCP server endpoints.
Own quality through automated workflow validation tests and eval harnesses that score model output fidelity, and document unsupported or manually reviewed conversion cases.
Build and maintain the parsing/conversion engine (Node.js/TypeScript or Python) that reads XML/JSON-based Nintex workflow definitions and generates equivalent Power Automate flow logic.
AI Developing Skill
Skills:
Core Programming & Parsing - Node.js / TypeScript or Python (framework matching the Agent's stack)
Core Programming & Parsing - XML/JSON parsing experience (Nintex NWF is XML-based)
Core Programming & Parsing - Experience building parsers, ASTs, or rule engines
Core Programming & Parsing - Regex / expression-language conversion experience
AI / LLM Engineering - RAG or classification pipeline experience
AI / LLM Engineering - Coding Agent experience via Claude / Github copilot
AI / LLM Engineering - Eval-harness / model output scoring experience
Testing & Quality - Test automation for workflow/flow validation
Testing & Quality - Application level testing best practices
Nice to Have (General) - SharePoint / M365 admin experience
B.E/B.Tech/M.Sc. Computers/MCA