Job description

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. Job role: Data Science Consultant 2 Required skills 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 skills • 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 Qualifications and work authorization • 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. Locations: Austin, TX; Charlotte, NC; Houston, TX; Newjersey, NJ; Raleigh, NC; Richardson, TX 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.

Requirements

Must-haves

Job role: Data Science Consultant 2
Required skills and experience
Working with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms; integrating with enterprise APIs, databases, and knowledge repositories.
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.
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.

Nice-to-haves

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
Qualifications and work authorization
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.
Locations: Austin, TX; Charlotte, NC; Houston, TX; Newjersey, NJ; Raleigh, NC; Richardson, TX

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonazureawsllmapidockerkubernetesci/cdreacttypescriptagile

Platform: infosys
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off