Agentic AI Architect

Infosys Topaz is an AI-first suite of services, solutions, and platforms designed to accelerate business value through generative AI technologies. It amplifies the potential of individuals, enterprises, and communities by fostering unprecedented innovations, pervasive efficiencies, and connected ecosystems. Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that drive growth, build interconnected ecosystems, and unlock efficiencies at scale. Join us to be part of a pioneering team at the forefront of AI innovation. At Infosys Topaz, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, Infosys Topaz is the perfect place for you to grow and excel. In the assigned Job Role of Architecture Consultant 3, your Area Of Responsibility will be as below:

⦁ 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

Your contribution to the team:

⦁ 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.

• Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search
• Experience in workflow automation, document intelligence, and AI copilots
• Experience in planner-executor, reflection, multi-agent, and graph-based orchestration patterns.
• Experience in Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search)
• Experience in integrating GenAI with AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms. • Exposure to open-source LLM ecosystems — Hugging Face, PyTorch, LoRA, QLoRA, PEFT — and models such as Llama, Mistral, Gemma, DeepSeek, and Falcon.
• Familiarity with multimodal AI, including vision-language models, speech and audio models, and image or video generation.
• Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front-end stacks (React, Angular, TypeScript, GraphQL) used in copilot interfaces. • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.