GenAI Solution Engineer

State / Region / Province

North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition

151597

Technical Skills 1

Technical Skills 2

Technology|Generative AI|Conversational AI Platform

Technical Skills 3

Technical Skills 4

Technical Skills 5

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 n 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.

• Develop project plans, track project progress, and prepare project status reports in collaboration with internal and client stakeholders.
• Identify and assist in resolving resource gaps or constraints that may impact project delivery.
• Co-ordinating between the analytical teams and client stakeholders by assisting in organizing regular meetings, phasing of projects.
• Support the delivery and technology enablement of analytics solutions by translating defined business requirements into structured outputs, configuring tools, validating data pipelines, and assisting in the integration of analytics solutions, while ensuring alignment with delivery plans.
• Conduct review of the project deliverables across development, testing, and/or support phases, in order to meet predefined quality standards and stakeholder expectations.

• Proactive risk management to ensure project delivery.
• An ability to build collaborative relationships with stakeholders through effective communication.
• Focused governance over project scope and identification of additional project opportunities.
• Focus to anticipate challenges and deliver innovative solutions.
• Commitment to balance project economics with adherence to strategic priorities.

• Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots; comfortable with planner-executor, reflection, multi-agent, and graph-based orchestration patterns.
• Hands-on with orchestration frameworks (Lang Chain, Lang Graph, Llama Index, Semantic Kernel, Auto Gen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search); working knowledge of grounding, prompt engineering, and context management.
• Experience integrating GenAI with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms.
• Command of AI governance, LLMOps, evaluation, observability, guardrails, model safety, compliance, and cloud-native deployment.
• Ability to define reference architectures, lead solutioning discussions, drive architecture reviews, and collaborate with enterprise architects, business stakeholders, and engineering teams.

• Exposure to open-source LLM ecosystems — Hugging Face, PyTorch, LoRA, QLoRA, PEFT — and models such as Llama, Mistral, Gemma, Deep Seek, and Falcon.
• Familiarity with multimodal AI, including vision-language models, speech and audio models, and image or video generation.
• Familiarity with Dev Ops and IaC tooling (Git Hub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front-end stacks (React, Angular, Type Script, GraphQL)…