Gen AI Engineer

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

Benefits offered by this job

Disability insurance

401(k) plan

Health and dependent care reimburse

Job summary

Infosys Limited is seeking a Data Science Consultant 2 in the United States to deliver scalable analytics and generative AI solutions. You will build, evaluate, and deploy models, integrate with enterprise systems, and guide teams through best practices in MLOps and governance.

You will work with Azure OpenAI, AWS Bedrock, and other LLM platforms, creating production APIs, orchestrations, and templates for repeatable deployments. A strong foundation in Python and data science is required.

Qualifications

• Experience building GenAI applications for enterprise use cases.
• Strong Python and API development fundamentals.
• Hands-on with orchestration frameworks and RAG pipelines.

Responsibilities

• Develop data preparation tasks and model deployment pipelines.
• Build predictive analytics and LLM-based solutions for business needs.
• Collaborate with product and platform teams to refine requirements.
• Ensure governance, testing, and scalable productionization.

Skills

Python

Lang Chain

Lang Graph

Llama Index

RAG

Prompt engineering

Azure OpenAI

FastAPI

Docker

Kubernetes

Git

Education

Bachelor's degree

Tools

GitHub Copilot

CLS Tools

Job description

State / Region / Province

North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition ID

150362BR

Technical Skills 1

Technology|Generative AI|Conversational AI Platform

Technical Skills 2

Technology|Generative AI|Prompt Engineering

Technical Skills 3

Technical Skills 4

Technology|Generative AI|Generative AI for Data Analytics

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 Consultant 2, your Area Of Responsibility will be as below:

• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Your contribution to the team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.

Required Skill and Experience

• Python and hands-on building of enterprise GenAI applications with Lang Chain, Lang Graph, Llama Index, or similar orchestration frameworks; comfortable with RAG, vector databases, agentic workflows (tool calling, memory, multi-agent), and prompt engineering.
• Working with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms; integrating with enterprise APIs, databases, and knowledge repositories.
• Building production APIs and microservices with Fast API, Docker, and Kubernetes; software engineering fundamentals (system design, testing, CI/CD, Git); hands-on with AI coding assistants (GitHub Copilot, Claude Code, Cursor) for engineering productivity.
• LLMOps practices — observability, tracing, evaluation (RAGAS, DeepEval, Lang Smith), guardrails, cost governance, and model safety.
• conducting code reviews, driving technical decisions, and collaborating with product and platform teams.

Preferred Skill and Experience

• Open-source LLMs (Llama, Mistral, Gemma) and fine-tuning techniques (LoRA, QLoRA, PEFT); familiarity with Model Context Protocol (MCP).
• Multimodal AI (vision-language, OCR, speech) and document intelligence.
• Front-end (React, TypeScript), DevOps/IaC tooling (GitHub Actions, Terraform, Helm), and domain exposure across financial services, telecom, retail, or healthcare

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.
• All applicants authorized to work in the United States are encouraged to apply.

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.