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.

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, including forecasting models and LLM-based solutions, while refining algorithms to meet business needs and ensuring 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 deployment 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 concept.
• 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.
• Optimize deployment and performance improvement of models.
• 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 LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks; familiarity with RAG, vector databases, agentic workflows, and prompt engineering.
• Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms; integrating with enterprise APIs, databases, and knowledge repositories.
• Experience building production APIs and microservices with FastAPI, Docker, and Kubernetes; software engineering fundamentals including system design, testing, CI/CD, and Git; hands-on use of AI coding assistants such as GitHub Copilot, Claude Code, or Cursor.
• LLMOps practices including observability, tracing, evaluation with RAGAS, DeepEval, or LangSmith, 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 such as Llama, Mistral, and Gemma, and fine-tuning techniques including LoRA, QLoRA, and PEFT; familiarity with Model Context Protocol.
• Multimodal AI, including vision-language, OCR, speech, and document intelligence.
• Front-end technologies including React and TypeScript; DevOps and infrastructure-as-code tooling including GitHub Actions, Terraform, and Helm; domain exposure across financial services, telecom, retail, or healthcare.

Additional Required Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of every year of education.
• This position may require relocation and/or travel to the work or project location.
• All applicants authorized to work in the United States are encouraged to apply.

Benefits:

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

• Medical, dental, vision, and life insurance
• Long-term and short-term disability
• Health and dependent care reimbursement accounts
• Accident, critical illness, hospital indemnity, and legal insurance
• 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 steer clients through their digital journey by enabling an AI-powered core and empowering businesses with agile digital at scale. Our always-on learning agenda drives 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, related medical conditions, protected veteran status, or disability.