Role : Senior AI Lead

Location : Hyderabad

Type : Full-Time, On site.

Role Overview :

We are looking for a Senior AI Lead to drive enterprise-scale adoption of AI / ML, Generative AI & Agentic AI systems. The ideal candidate shall lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes. The role requires a combination of strategic leadership with deep hands-on expertise in building AI / ML applications, LLM & Agentic AI applications, LLMOps, and secure AI architectures, ensuring scalable, compliant, and high-impact AI implementations.

Key Responsibilities :

- Own enterprise AI solution architecture across AI / ML, GenAI and Agentic AI from data to deployment.

- Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions, especially for fintech and banking sectors.

- Hands-on with platforms such as OpenAI (GPT models), Anthropic (Claude) and Open-source LLMs (Llama, Mistral etc)

- Expertise in Prompt engineering & evaluation, Fine-tuning, embeddings, and RAG architectures

- Guide and mentor AI engineers and data scientists on architecture choices, model evaluation, and solution options.

- Partner with security, compliance, and business stakeholders to ensure AI solutions meet enterprise and regulatory standards.

- Continuously upskill self to inspire the team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and client to co-create innovative solutions and help tackle the challenges.

- Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

- Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions driven by AI-first mindset. Upskill consistently to get better in this and deliver innovation for customers.

- Experience with multi-agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI,

- Strong understanding of agent orchestration, tool usage, and memory systems

- Build multi-agent orchestration frameworks for complex workflows and enable tool-using agents (APIs, databases, enterprise systems integration

- Integrate AI into enterprise applications via APIs, microservices, and event-driven architectures

- Experience with CI/CD pipelines for AI systems LMOps tools (Weights & Biases, MLflow, LangSmith, Arize AI)

Experience :

- 10 - 12 years in AI/ML, data science, or advanced analytics, with senior experience in enterprise solution architecture.

- Hands on coding proficiency in Python

- Proven experience evaluating and deploying AI models in fintech environments

- Strong hands on expertise in model evaluation, benchmarking, and experimentation.

- Demonstrated ability to influence both executive leaders and senior engineers.

- Excellent ability to design, prioritize, plan and track large scale products.

- Deep understanding of AI governance, observability, and lifecycle management.

Preferred Experience

- Experience evaluating vendor AI solutions, foundation models, Exposure to AI risk management frameworks.

- Experience working in mid or large, enterprises with background in fintech / banking is a plus.

Soft Skills :

- Strong leadership and stakeholder engagement skills

- Ability to translate complex business problems into AI solutions

- Excellent communication and executive presentation skills