JAVA AI Architect _GEPOWER_6A

Infosys•Richardson, TX

14d

About The Position

Infosys is seeking a JAVA AI Architect for its Manufacturing unit, which develops digital solutions for clients in the Automotive, Aerospace, Defense, and Industrial Manufacturing sectors. The role focuses on designing enterprise-grade AI and GenAI solutions, integrating AI/LLM capabilities into enterprise applications, and delivering architecture aligned with business goals. The position involves collaborating with clients and multidisciplinary teams, contributing to technology transformation programs, and supporting successful project execution and transition. The architect will gather stakeholder input through workshops and interviews and create business requirement documents covering functional and non-functional requirements. They will review and develop scalable, reliable, and maintainable solution architectures; recommend suitable technologies and platforms; and plan integrations across systems. The role also includes resolving complex technical challenges, identifying risks and performance improvements, maintaining a knowledge base, and contributing architectural insights to proposals and RFPs. The position requires strong Java and enterprise GenAI expertise, including orchestration frameworks, agentic systems, vector databases, data pipelines, MLOps/GenAIOps, and cloud AI/ML platforms. A bachelor’s degree or foreign equivalent is required, though three years of progressive specialty experience may substitute for each year of education. Relocation and/or travel to the work or project location may be required. Applicants must be authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role.

Requirements

Strong experience integrating AI/LLM solutions into enterprise applications using APIs, microservices, and middleware.
Strong experience with 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 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/design of large enterprise systems.
Technical breadth 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, and DevSecOps.
Past experience as a Chief Architect, Architecture Lead, or equivalent, including personally leading a team of architects on large programs and providing guidance, coaching, and mentoring to ensure technical quality.
Broad technology knowledge across the software development lifecycle.
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 aligned with the proposed framework and designed to be scalable, reliable, and maintainable.
Assess and recommend technologies, tools, and platforms to meet business requirements.
Review technical solutions and develop integration strategies for different technologies and systems to ensure seamless communication and data flow.
Resolve complex technical challenges during build, deployment, and support, while promoting reusable frameworks and artifacts.
Provide specialized insights to development teams and build collaborative relationships with clients and internal teams to support successful project execution.
Identify risks in the system landscape, monitor system performance, and recommend optimization initiatives aligned with business requirements and long-term objectives.
Establish and maintain a comprehensive knowledge base so important information is systematically recorded and readily available.
Contribute architectural insights to proposals and RFPs to support successful solution delivery.
Lead and deliver technology transformation programs with tangible business outcomes.
Engage with clients and internal teams, and foster mentoring and knowledge sharing.