• Role
• Senior Lead Analyst Data Science
• Technology
• Core Python, Data Science, GEN AI
• Location
• Chester or Bromley
• Business Unit
• Analytics

Compensation:

• Competitive (including bonus)

Job Description:

Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services.
This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
_**_**

Your Role:

As a Senior Lead Analyst, you will:

• Anchor the engagement effort from business process consulting and problem definition to solution design, development, and deployment.
• Lead the discovery and definition of AI/ML solutions and guide teams on project processes and deliverables.
• Act as a thought leader in your domain, advising on architecture and design reviews.
• Drive business pursuit initiatives, client training, and in-house capability building.
• Shape value-adding consulting solutions that help clients meet evolving business needs.
  **___

Responsibilities:

• Develop the core Python Programs using oops Concepts.
• Design and develop scalable AI/ML solutions using Python and cloud platforms.
• Lead the implementation of Generative AI models, LLMs, and agentic frameworks.
• Collaborate with stakeholders to define problem statements and solution approaches.
• Deploy models using MLOps tools such as Sage Maker, Snowflake, and CI/CD pipelines.
• Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines.
• Ensure high-quality delivery and adherence to best practices in AI/ML engineering.
  _**__
• Required
• Minimum 7 years of experience in Information Technology.
• Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development.
• Minimum 5 years in Big Data technologies (e.g., , Hadoop).
• Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Minimum 5 years in ML model development, data engineering, and software engineering.
• Minimum 3 years in MLOps and AI/ML deployment.
• Minimum 2 years in Generative AI, LLMs, and agentic frameworks.
  _**_**
• Preferred
• Experience with API Gateway development and deployment on Azure/GCP.
• Hands-on experience with vector databases and RAG pipelines.
• Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
• Strong problem-solving and stakeholder management skills.
• Domain expertise in Banking, Finance, or Capital Markets.
  **___
• Personal Attributes
• High analytical skills
• Strong initiative and flexibility
• High customer orientation
• Strong quality awareness
• Excellent verbal and written communication skills
  _**__
  Why Infosys
  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 this by enabling the enterprise with an AI-powered core and agile digital at scale to deliver unprecedented performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
  Infosys is proud to be an equal opportunity employer. All aspects of employment are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees.