Gen AI Engineer

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.

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.

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
Bachelors 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.

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 youll 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 youre passionate about AI and eager to make a significant impact Infosys Topaz is the perfect place for you to grow and excel.