GenAI Solution Engineer

Infosys Limited; Charlotte (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Disability coverage

Health & Dependent Care FSA

Insurance: life/medical

401(k) plan

Job summary

Infosys Topaz leads AI-driven services and platforms that accelerate business value through generative AI. The Data Science Project Lead role focuses on planning, coordinating, and delivering analytics initiatives with client stakeholders, ensuring quality and timely outcomes.

You will translate business needs into structured outputs, manage risks, and drive architecture discussions across engineering teams while leveraging state-of-the-art AI tools and platforms.

Qualifications

• Experience with enterprise GenAI and agentic AI across RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence and AI copilots.
• Hands-on with orchestration frameworks and vector databases, grounding, prompt engineering, and context management.
• Experience integrating GenAI with major cloud providers and enterprise APIs, middleware, and data platforms.
• Knowledge of AI governance, LLMOps, evaluation, observability, guardrails, model safety, and cloud-native deployment.
• Ability to define reference architectures and lead solutioning discussions with stakeholders and engineers.

Responsibilities

• Develop project plans, track progress, and report status with stakeholders.
• Identify resource gaps and coordinate with analytics teams and clients.
• Organize regular meetings and phasing of projects between teams and clients.
• Translate business requirements into structured outputs, configure tools, validate data pipelines, and integrate analytics solutions.
• Review deliverables across development, testing, and support to meet quality standards.

Skills

GenAI solutions

RAG patterns

LLMOps

Agentic AI

Conversational AI

Vector DBs

LangChain

Azure OpenAI

Education

Bachelor's degree

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Pinecone

Weaviate

Milvus

pgvector

FAISS

ChromaDB

Azure AI Search

Job description

State / Region / Province

North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition ID

153269BR

Technical Skills 1

Technical Skills 2

Technology|Generative AI|Conversational AI Platform

Technical Skills 3

Technical Skills 4

Technical Skills 5

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.

In the assigned Job Role of Data Science Project Lead 1, your Area Of Responsibility will be as below:

• 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.

Your contribution to the team:

• 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.

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 with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, 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.

Preferred Skill and Experience

• 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.

Additional Required Qualifications

• 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.
• 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.

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

• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.