GenAI Solution Engineer

Infosys; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

401(k) plan

Paid holidays

Job summary

Infosys Topaz is advancing AI-first services and platforms to accelerate business value through generative AI technologies. As a Data Science Project Lead 1, you will orchestrate complex analytics initiatives, coordinate with client stakeholders, and translate business requirements into structured AI solutions.

You will drive execution, manage resources, and ensure governance, quality, and timely delivery across development, testing, and production environments.

Qualifications

• Experience with enterprise GenAI and agentic AI solutions across RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots.
• Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases.
• Experience integrating GenAI with major cloud providers and enterprise APIs.
• Knowledge of governance, LLMOps, evaluation, observability, guardrails, and cloud-native deployment.

Responsibilities

• Develop project plans, track progress, and prepare status reports with stakeholders.
• Identify and address resource gaps impacting delivery.
• Coordinate between analytical teams and client stakeholders; organize regular meetings.
• Translate business requirements into structured outputs; configure tools and validate data pipelines.
• Review deliverables across development, testing, and support to meet quality standards.

Skills

GenAI orchestration

LangChain

Vector databases

LLMOps

Cloud deployment

Education

Bachelor’s degree

Tools

Pinecone

Weaviate

Milvus

pgvector

FAISS

ChromaDB

Azure OpenAI

Job description

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.

Benefits

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

• Medical/Dental/Vision/Life Insurance
• 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
• Paid holidays plus Paid Time Off

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.