GenAI Solution Engineer

In the assigned Job Role of Data Science Project Lead 1 your Area Of Responsibility will be as below:
Develop project plans track project progress and prepare project status reports in collaboration with internal and client stakeholders.
Identify and assist in resolving resource gaps or constraints that may impact project delivery.
Co-ordinating between the analytical teams and client stakeholders by assisting in organizing regular meetings phasing of projects.
Support the delivery and technology enablement of analytics solutions by translating defined business requirements into structured outputs configuring tools validating data pipelines and assisting in the integration of analytics solutions while ensuring alignment with delivery plans.
Conduct review of the project deliverables across development testing and/or support phases in order to meet predefined quality standards and stakeholder expectations.


Your contribution to the team:

Proactive risk management to ensure project delivery.
An ability to build collaborative relationships with stakeholders through effective communication.
Focused governance over project scope and identification of additional project opportunities.
Focus to anticipate challenges and deliver innovative solutions.
Commitment to balance project economics with adherence to strategic priorities.
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.

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.

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.