JAVA AI Architect

Technical Skills 3

Domain|Manufacturing|Manufacturing - ALL

Technical Skills 4

Technology|Agentic AI|Agent Engineering

The Infosys Manufacturing unit is at the forefront of revolutionizing the industry with innovative digital solutions. We specialize in transforming client relationships in the Automotive, Aerospace, Defense, and Industrial Manufacturing sectors, driving significant growth and operational excellence. Join us to be part of a team that leverages cutting-edge technology to create sustainable, efficient, and resilient manufacturing processes, making a tangible impact on the global stage.

• Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
• Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
• Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
• Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
• Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
• Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects
• Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives
• Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available
• Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions

• Expertise in designing and reviewing solution architectures that align with business goals.
• The ability to provide architectural insights to strengthen solution proposals and ensure successful delivery.
• A strategic mindset to align technical solutions with business goals and market trends.
• Proactively drive initiatives to ensure smooth execution and transition of projects.
• The ability to engage with clients and internal teams to build strong and productive relationships.
• Passion for mentoring and fostering a knowledge-sharing culture.

• Strong experience in integrating AI/LLM solutions into enterprise applications using APIs, microservices, and middleware.
• Strong experience in JAVA
• Strong proficiency with orchestration frameworks (Lang Chain, Lang Graph) for building production-ready AI workflows.
• Experience designing and implementing agentic systems including tool use, agent patterns, and multi-agent collaboration.
• Expertise in 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 (AWS Sagemaker, Azure ML, 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 articulate deep technical concepts and architectural decisions.
• Expertise in leading and delivering one or more technology transformation programs successfully with tangible business outcomes.

• Prior Experience in software development, Architecture and Design of large enterprise systems. In technical areas like Java, J2EE, .NET, Microservices, Cloud native development, AI, ML, Infrastructure as code, scripting, hyperscalers like AWS, Azure, GCP, private cloud, NFRs like performance, resiliency, scalability, IT security, Dev Secops etc.
• Expertise in playing the role of a Chief Architect or Architecture…