Lead and architect enterprise AI/ML solutions (GenAI, RAG, autonomous agents, advanced NLP), translate business needs into scalable prototypes and production models, mentor teams, and establish model development, deployment, monitoring, and governance best practices.
End Date
Sunday 30 August 2026We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
Job Family: Data Science & AI > Data & AI ScientistsBusiness Title: Data Science & AI Engineering Lead
Grade: F
Location: Hyderabad, Lloyds Technology Center
Department: AI Centre of Excellence (CDAO)
YOE: 18+ Years
Role Overview
We are seeking a hands-on lead Data & AI Scientist to drive the development and scaling of AI-powered solutions across the enterprise. This role is pivotal in shaping the technical direction of our AI/ML initiatives, mentoring talent, and delivering high-impact outcomes through cutting-edge technologies including GenAI, autonomous agents, advanced NLP, and machine learning.
Job Description
Role Overview
We are seeking a hands-on lead Data & AI Scientist to drive the development and scaling of AI-powered solutions across the enterprise. This role is pivotal in shaping the technical direction of our AI/ML initiatives, mentoring talent, and delivering high-impact outcomes through cutting-edge technologies including GenAI, autonomous agents, advanced NLP, and machine learning.
Key Responsibilities
Technical Leadership & Strategy
- Lead the design, incubation, and scaling of AI/ML solutions that solve complex business problems.
- Architect and implement GenAI-powered systems, including Retrieval-Augmented Generation (RAG) pipelines and autonomous agents.
- Evaluate and integrate open-source and proprietary LLMs, optimising for performance and business value.
Solution Delivery
- Translate business requirements into robust, scalable AI/ML solutions.
- Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into products and platforms.
- Drive experimentation, rapid prototyping, and iterative development.
Team Development & Mentorship
- Guide and mentor data scientists, ML engineers, and junior developers.
- Foster a culture of technical excellence, innovation, and continuous learning.
Operational Excellence
- Partner with CoE leaders to participate and improve delivery processes, resource allocation, and prioritisation frameworks.
- Establish best practices for model development, deployment, monitoring, and governance.
Required Skills & Experience
- Strong foundation in statistics, machine learning, and deep learning.
- Proven experience in building and deploying GenAI solutions using frameworks like LangChain, LangGraph, or similar.
- Expertise in Natural Language Processing (NLP), including semantic search, entity recognition, and text generation.
- Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral) and fine-tuning/customisation techniques.
- Ability to design and implement autonomous AI agents capable of observation, planning, reasoning, and action.
- Proficiency in analysing large datasets to identify trends, model improvements, and optimisation opportunities.
- Familiarity with MLOps/AIOps practices and tools for scalable model deployment and lifecycle management.
Preferred Qualifications
- Advanced degree (MSc/PhD) in Computer Science, Data Science, AI/ML, or related field.
- Experience in cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes).
- Knowledge of enterprise AI governance, ethical AI, and model interpretability.
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