The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Key Responsibilities • Design and develop scalable backend services using Java (11/17), Spring Boot, and Spring Cloud. • Develop AI-powered applications and autonomous agents using Python and modern AI frameworks. • Design and implement Agentic AI solutions capable of planning, reasoning, orchestration, and tool invocation. • Build and integrate AI agents with enterprise systems using REST APIs, GraphQL, MCP (Model Context Protocol), and event-driven architectures. • Integrate Large Language Models (LLMs) such as Amazon Nova, Anthropic Claude, or OpenAI models into enterprise applications. • Develop and deploy cloud-native applications on AWS using Lambda, EKS, EC2, S3, SNS, SQS, IAM, and API Gateway. • Build responsive web applications using ReactJS and TypeScript. • Design high-performance relational database solutions using Oracle, PostgreSQL, MySQL, or DB2. • Build CI/CD pipelines and automate deployments using Jenkins, GitHub Actions, or similar tools. • Ensure application reliability through observability using Splunk, Datadog, or CloudWatch. • Collaborate with architects, product owners, and cross-functional teams to deliver secure, scalable enterprise solutions. • Leverage AI-assisted development tools such as GitHub Copilot, Amazon Kiro, or similar developer productivity tools. Required Skills • 8+ years of software development experience. • Strong expertise in Java (11/17), Spring Boot, Spring Cloud, Hibernate/JPA. • Strong Python programming experience. • Hands-on experience developing AI agents or agentic workflows. • Experience with LLM integration and prompt engineering. • Experience with AI orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Amazon Bedrock Agents. • Experience building REST APIs and GraphQL services. • Strong knowledge of Microservices Architecture and Event-Driven Design. • Experience with ReactJS and TypeScript. • Experience with Kubernetes, Docker, and container orchestration. • Strong experience with AWS cloud services. • Strong SQL skills with Oracle, PostgreSQL, MySQL, or DB2. • Experience implementing CI/CD pipelines using Jenkins or similar tools. • Experience with Git, Maven, Agile, and Scrum. Preferred Skills • Experience with Amazon Bedrock, AWS AI services, or similar Generative AI platforms. • Experience developing enterprise AI assistants, copilots, or conversational AI applications. • Experience implementing Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, or AI agent orchestration. • Experience with Keycloak, OAuth2, OpenID Connect, or enterprise identity platforms. • Experience integrating Tableau, Power BI, or analytics platforms with AI solutions. • Exposure to Vector Databases, Retrieval-Augmented Generation (RAG), embeddings, and semantic search. • Experience with Kafka, JMS, SNS/SQS, or other messaging platforms. Education: • Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position. The typical base pay range for this role is as follows: • New York / New Jersey: $169k-205k • Non-New York / New Jersey: $153k-188k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below. Our hybrid work schedule is four days on-site and work remotely one day per week. MUFG Benefits Summary The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.