AI Automation Engineer
Hitachi, Ltd.2 months ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design and build AI-powered and agentic solutions that automate complex, repetitive, or decision-driven Common Shared Services processes.
- Develop LLM and multimodal foundation-model applications using RAG, tool calling, structured outputs, and context engineering.
- Build, orchestrate, and govern AI agents using frameworks including LangGraph, Semantic Kernel, Microsoft Agent Framework, Azure AI Foundry Agent Service, and MCP.
- Develop APIs, integrations, and event-driven pipelines connecting AI capabilities with SAP, ServiceNow, Microsoft 365, Power Platform, data lakehouse environments, and existing automation technologies.
- Optimize models through prompt engineering, fine-tuning, distillation, and quantization.
- Establish AI evaluation and observability practices covering automated evaluations, regression testing, tracing, quality monitoring, cost governance, and performance measurement.
- Apply Responsible AI and security-by-design principles, including content safety, human oversight, prompt-injection protection, privacy safeguards, auditability, and regulatory compliance.
- Partner with stakeholders, process owners, and analysts to identify automation opportunities, assess business value, and deliver AI solutions.
- For AI Delivery, industrialize validated use cases through scalable architectures, LLMOps/MLOps, CI/CD automation, deployment standards, and production support.
- For AI Exploration, evaluate emerging technologies, conduct proofs of concept, benchmark capabilities, and prototype GraphRAG, agentic workflows, document intelligence, and multimodal AI solutions.
- Maintain documentation, architecture definitions, knowledge-sharing materials, and compliance with applicable regulations and procedures.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; a PhD is advantageous for the AI Exploration track.
- 5–10 years of experience in software engineering, AI engineering, machine learning, or related technical disciplines.
- Experience delivering AI or Generative AI solutions into production, or building prototypes, conducting applied research, and evaluating emerging AI technologies.
- Strong Python programming skills, including testing, packaging, asynchronous programming, and software engineering practices.
- Required SQL experience; Java or C#/.NET experience is advantageous.
- Hands-on experience with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, CrewAI, and MCP-based integrations.
- Understanding of RAG, enterprise search, embeddings, vector databases, semantic and hybrid search, re-ranking, and GraphRAG.
- Experience with Azure AI Foundry, Azure OpenAI, or other cloud AI platforms such as Google Vertex AI, Amazon Bedrock, and Databricks Mosaic AI.
- Knowledge of PyTorch, Hugging Face Transformers, PEFT, ONNX Runtime, scikit-learn, multimodal AI, intelligent document processing, OCR, speech-to-text, text-to-speech, and vision-language models.
- Knowledge of Git, Docker, Kubernetes, REST APIs, OpenAPI, gRPC, webhooks, event-driven architectures, and CI/CD practices.
- Experience with AI evaluation and observability tools such as LangSmith, Langfuse, Ragas, MLflow, promptfoo, or Azure AI evaluation services.
- Understanding of data engineering, Databricks, Spark, lakehouse architectures, orchestration, data quality, and data modeling.
- Knowledge of Responsible AI, AI governance, OWASP Top 10 for LLM applications, prompt-injection mitigation, security controls, privacy protection, and model governance.
- Strong analytical, problem-solving, communication, collaboration, and cross-functional teamwork skills.
- Curiosity about emerging AI technologies and the ability to assess sustainable business value.
- Agile experience and familiarity with Azure Boards, Jira, or similar project management tools are advantageous.
- Proficiency in spoken and written English is required.
Tech Stack
Apache SparkC#DatabricksDockerGitgRPCHugging Face TransformersJavaKubernetesMLflow.NETPythonPyTorchscikit-learnSQL
Categories
About Hitachi, Ltd.
Hitachi, Ltd. builds industrial, energy, rail, and digital systems for governments and enterprises, combining operational technology with IT, cloud, and data infrastructure services. Its portfolio spans power grids, factory automation, data centers, rail systems, and consulting delivered through units such as Hitachi Vantara, Hitachi Rail, and Hitachi Energy. Founded in 1910 and headquartered in Tokyo, it is listed on the Tokyo Stock Exchange and operates globally across critical infrastructure markets.