Gen AI 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.

JOB DESCRIPTION

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.

EEO/ABOUT US

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.