JAVA AI Architect_STA _6B - Toyota

Infosys•Plano, TX

14d

About The Position

In the assigned role of Architecture Consultant 3, the position designs and reviews solution architectures aligned with business goals and requirements. It gathers information from client stakeholder workshops and interviews to develop business requirement documents covering functional and non-functional requirements, and ensures application designs align with proposed frameworks and are scalable, reliable, and maintainable. The role assesses technologies, tools, and platforms; develops integration strategies across technologies and systems; and resolves complex technical challenges during build, deployment, and support. The architect provides specialized guidance to development teams, builds productive relationships with clients and internal teams, identifies system risks and performance optimization opportunities, and maintains a comprehensive knowledge base. The role also contributes architectural insights to proposals and RFPs, mentors others, and helps drive successful project execution and transitions. The position is part of Infosys’s Manufacturing unit, which delivers digital solutions for Automotive, Aerospace, Defense, and Industrial Manufacturing clients. The role requires strong Java and enterprise GenAI architecture experience, including integrating AI/LLM solutions into applications, building production-ready workflows and agentic systems, and delivering enterprise-grade GenAI applications. It involves collaboration with data scientists, ML engineers, architects, product managers, and business stakeholders. Relocation and/or travel to a work or project location may be required. Applicants must be authorized to work in the United States without employer-based visa sponsorship; Infosys states it cannot provide immigration sponsorship now or in the future.

Requirements

Strong experience integrating AI/LLM solutions into enterprise applications using APIs, microservices, and middleware.
Strong experience in Java.
Strong proficiency with orchestration frameworks such as LangChain and LangGraph for production-ready AI workflows.
Experience designing and implementing agentic systems, including tool use, agent patterns, and multi-agent collaboration.
Expertise with vector databases such as PGVector, Pinecone, Amazon Titan, or Azure AI Search.
Strong understanding of scalable data pipelines, data chunking strategies, and high-performance retrieval systems.
Familiarity with MLOps/GenAIOps practices, including CI/CD for LLMs, model monitoring, safety layers, and continuous improvement.
Experience with cloud AI/ML stacks such as AWS SageMaker, Azure ML, or Google Vertex AI.
Deep understanding of AI governance, security, compliance, and responsible AI frameworks.
Proven ability to deliver enterprise-grade GenAI applications such as search, chatbots, content generation, digital twins, or design automation.
Ability to work closely with data scientists, ML engineers, architects, product managers, and business stakeholders.
Strong communication skills and ability to explain technical concepts and architectural decisions.
Expertise leading and delivering one or more technology transformation programs successfully with tangible business outcomes.
Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
Authorization to work for any employer in the United States without employer-based visa sponsorship.

Nice To Haves

Prior experience in software development and architecture and design of large enterprise systems.
Technical experience in areas such as Java, J2EE, .NET, microservices, cloud-native development, AI, ML, infrastructure as code, scripting, AWS, Azure, GCP, private cloud, non-functional requirements, performance, resiliency, scalability, IT security, or DevSecOps.
Past experience as a Chief Architect or equivalent Architecture Lead, personally leading a team of architects on large programs and providing guidance, coaching, and mentoring to ensure technical quality.
Broad technology knowledge across the SDLC.
Depth in at least two of the listed technical areas to drive end-to-end transformation solutions.

Responsibilities

Create business requirement documents covering functional and non-functional requirements based on workshops and interviews with client stakeholders.
Review, propose, and develop solution architectures that align application design with proposed frameworks and support scalability, reliability, and maintainability.
Assess and recommend technologies, tools, and platforms to meet business requirements.
Review technical solutions and develop integration strategies across technologies and systems to support seamless communication and data flow.
Resolve complex technical challenges during build, deployment, and support, while promoting reusable frameworks and artifacts.
Provide specialized technical insights to development teams and build collaborative relationships with clients and internal teams to support project execution.
Identify potential risks in the system landscape, monitor system performance, and suggest optimization initiatives aligned with business requirements and long-term objectives.
Establish and maintain a comprehensive knowledge base so important information is recorded and accessible.
Contribute architectural insights to proposals and RFPs.
Lead and deliver technology transformation programs with tangible business outcomes.
Mentor team members and foster knowledge sharing.
Drive initiatives that support smooth project execution and transition.