Gen AI Solution Engineer

In the assigned Job Role of Data Science Consultant 3 your Area Of Responsibility will be as below:
Review data preparation tasks and plans to address patterns or anomalies while ensuring data readiness for advanced modeling and AI.
Review models for complex use cases (e.g. forecasting models LLM-based solutions) and refine algorithms to meet business needs.
Review plan for smooth deployment into scalable production-ready solutions.
Review test plans and test results for analytics use cases while defining optimization standards for model accuracy and stability in alignment with business goals.
Build models and analytics solutions tailored to business needs.
Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams.
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.
Review and refine analytics problems; identify data sources and extract from diverse environments.
Oversee analysis execution and drive business insights.
Create monitoring strategies across multiple projects embedding governance frameworks to ensure robustness reliability and risk awareness.
Review monitoring frameworks refine documentation/reporting templates and present insights on anomalies or slippages to stakeholders.
Refine documentation strategy across teams ensuring transparency and reproducibility of complex analytics solutions.
Collaborate with cross-functional teams ensuring alignment between analytics delivery and business strategy.
Review analytics outputs for adherence to quality frameworks and project commitments.
Recommend improvements to quality metrics and guide team members to align with standards.
Identify and recommend model changes needed for successful deployment.
Engage in creation and refinement of IP assets such as analytics prototypes and accelerators.
Develop insights whitepapers and proof-of-concept summaries that highlight innovative thinking.
Review innovative models and applications in non-ML ML deep learning or LLM areas.
Support participation in forums and internal knowledge exchanges.
Deliver training sessions on technical and analytics-specific topics.
Collaborate on content creation and mentor team members through hands- on guidance in live projects.
Provide input for segment and unit-level business plans.



Your contribution to the team:

A strong focus on innovation and scalable analytics solutions.
Proactive problem-solving ability for complex data-driven business challenges.
Deep technical expertise across advanced modeling and AI use cases.
A strategic mindset to align analytics with business goals.
Ability to mentor team members and drive continuous improvement.
Strong communication and knowledge-sharing capabilities.

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
Enterprise GenAI and Agentic AI solutions across RAG AI agents conversational AI enterprise search workflow automation document intelligence and AI copilots; comfortable with planner-executor reflection multi-agent and graph-based orchestration patterns.
Hands-on with orchestration frameworks (LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI) and vector databases (Pinecone Weaviate Milvus pgvector FAISS ChromaDB Azure AI Search); working knowledge of grounding prompt engineering and context management.
Experience integrating GenAI with Azure OpenAI AWS Bedrock Vertex AI OpenAI Anthropic and Gemini along with enterprise APIs middleware and data platforms.
Command of AI governance LLMOps evaluation observability guardrails model safety compliance and cloud-native deployment.
Ability to define reference architectures lead solutioning discussions drive architecture reviews and collaborate with enterprise architects business stakeholders and engineering teams.

Preferred Skill and Experience
Exposure to open-source LLM ecosystems Hugging Face PyTorch LoRA QLoRA PEFT and models such as Llama Mistral Gemma DeepSeek and Falcon.
Familiarity with multimodal AI including vision-language models speech and audio models and image or video generation.
Familiarity with DevOps and IaC tooling (GitHub Actions Jenkins Terraform Helm Kubernetes) and awareness of front-end stacks (React Angular TypeScript GraphQL) used in copilot interfaces.

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.