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 - Prompt engineering / structured (schema-constrained) output generation
AI / LLM Engineering - LLM API integration (Anthropic, OpenAI, Azure OpenAI)
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
Integration / Ecosystem - MCP (Model Context Protocol) server development
Integration / Ecosystem - Azure CLI / Azure AD authentication flows
Integration / Ecosystem - REST API integration & webhook handling
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
Beware of scams
Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.
All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Hitachi Solutions is a core IT Company of the Hitachi Group, which employs over 330,000 people worldwide. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. We strive to provide ideal solutions and products to customers in a diverse set of countries and regions including Asia, North America, and Europe. Using a portfolio of management consulting, implementation, and support services, we help our clients compete with the largest global enterprises leveraging powerful, affordable, and easy to use industry solutions built on Microsoft technologies. Our vision is to help our customers achieve their vision through superior products, prices, and people. Hitachi Solutions has been recognized as the winner for the 2024 Microsoft Low Code Application Development Partner of the Year and finalist for the Intelligent Automation 2024 Microsoft Partner of the Year. In Asia Pacific, we have been recognized as the winner for the 2023 Microsoft Asia Pacific Region Business Applications Partner of the Year and 2023 Microsoft Singapore Business Applications - Intelligent Line of Business Partner of the Year.