Director, Distinguished Engineer, Enterprise AI Platforms

Job Description

Director, Distinguished Engineer, Enterprise AI Platforms | Mitsubishi UFJ Financial Group

The Tone:
This is a full-time, hybrid Director-level technical leadership role at Mitsubishi UFJ Financial Group (MUFG). The company is a leading financial group building foundational AI platforms, data, and knowledge capabilities to scale AI safely across the enterprise. This position is crucial for establishing the core AI foundation, allowing centralized, reusable capabilities while empowering business and technology teams to innovate rapidly.

The TL;DR
• Role: Full Time
• Type: Hybrid
• Location: Hybrid, New York/New Jersey, USA
• Pay: $250000–$350000 yearly
• Team: Enterprise AI Platforms team
• Mission: Build the enterprise AI foundation, centralizing core capabilities to enable faster, governed AI innovation across MUFG.
• Tech Stack: LLM gateways, model-provider abstraction, agent runtime, orchestration, RAG, AI observability, evaluation frameworks, security guardrails, FinOps, LangChain, LangGraph, CrewAI, LiteLLM, Ragas, Hugging Face, PyTorch, TensorFlow, SageMaker, OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google/Gemini, Snowflake, Databricks, Spark, Kafka, Airflow, vector search, OpenSearch/Elasticsearch, knowledge graphs, metadata platforms, document intelligence, Java, Python, Scala, JavaScript/TypeScript, SQL, Spring, FastAPI, Node.js, GraphQL, REST/OpenAPI, AWS, Kubernetes, Docker, Terraform, GitHub, CI/CD

What You’ll Actually Do
• Architect: Lead the design and evolution of MUFG’s enterprise AI platform, including LLM gateways, model routing, agent runtime, and observability, to support diverse AI consumption models.
• Engineer: Serve as a hands-on technical leader, guiding engineering decisions, developing prototypes, and establishing production-grade engineering patterns for reusable AI platform components.
• Govern: Embed governance, risk, security, privacy, and auditability into AI platform architecture by defining technical control patterns and collaborating with risk partners.
• Integrate: Architect AI solutions leveraging trusted enterprise data, metadata, documents, and knowledge layers to enhance relevance and business utility.
• Direct: Create and maintain architecture roadmaps for enterprise AI capabilities, advise on build-versus-buy decisions, and evaluate emerging AI technologies to establish technical principles.

The Must-Haves
• Background: Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, serving as a Director-level technical leader in enterprise AI platforms.
• Experience: 15+ years in enterprise software engineering, platform engineering, or architecture, with hands-on experience architecting and delivering production-grade AI, GenAI, LLM, or enterprise platform capabilities.
• Skills: Enterprise AI platform design (LLM gateways, RAG, agentic workflows, observability), cloud-native architecture (APIs, microservices, Kubernetes, CI/CD), and enterprise data architecture (governance, metadata, integration, access control).
• Bonus: Familiarity with GenAI frameworks like LangChain or PyTorch, experience with model providers such as OpenAI or AWS Bedrock, and proficiency in programming languages like Java or Python.