Gen AI Solution 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 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.

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

• 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.

• 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.

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.