GenAI Solution Engineer

Overview:

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.

Roles and Responsibilities:

• 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.
• Coordinate between analytical teams and client stakeholders by assisting in organizing regular meetings and project phasing.
• 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 reviews of project deliverables across development, testing, and/or support phases to meet predefined quality standards and stakeholder expectations.

Your Contribution to the Team:

• Proactive risk management to ensure project delivery.
• Build collaborative relationships with stakeholders through effective communication.
• Maintain focused governance over project scope and identify additional project opportunities.
• Anticipate challenges and deliver innovative solutions.
• Balance project economics with adherence to strategic priorities.

Required Skill and Experience:

• 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 experience with orchestration frameworks including LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, and CrewAI, and vector databases including Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, and 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.

Preferred Skill and Experience:

• Exposure to open-source LLM ecosystems including Hugging Face, PyTorch, LoRA, QLoRA, and 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 including GitHub Actions, Jenkins, Terraform, Helm, and Kubernetes, and awareness of front-end stacks including React, Angular, TypeScript, and GraphQL used in copilot interfaces.

Additional Required Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of every year of education.
• This position may require relocation and/or travel to the work or project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits:

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical, dental, vision, and life insurance
• Long-term and short-term disability
• Health and dependent care reimbursement accounts
• Accident, critical illness, hospital indemnity, and legal insurance
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus paid time off