Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore , we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik , and have been consistently recognized for in ation, delivery excellence, and trusted advisories.

Awards & Recognitions:

In ation Partner of the Year - Databricks,
Digital Impact Award, UK - (TMT Sector)
Rising Star - APJ Databricks Partner Awards
Qlik s Most Enabled Partner - APAC

With a team of 450+ AI engineers, data scientists, and consultants , we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more:

About the Role:

We are looking for a Tech Lead - AI & Agentic Systems to lead the design and delivery of next-generation AI applications and platforms. The ideal candi will be an experienced hands-on technologist and mentor, with a deep understanding of Generative AI, Agentic AI, Databricks, MLOps, and cloud-native architecture. This role combines strategic technical leadership, hands-on development, and team enablement to build scalable, intelligent systems from LLM-powered solutions to multi-agent ecosystems that integrate seamlessly with enterprise systems.

Key Responsibilities

Technical Leadership

Lead a team of AI engineers and data scientists to architect, develop, and deploy intelligent AI systems.
Drive end-to-end design of LLM-based, multi-agent, and autonomous AI frameworks, ensuring scalability, governance, and security.
Mentor ior engineers, conduct code reviews, and enforce engineering best practices.
Partner with product, data, and cloud teams to align technical delivery with business outcomes.

Architecture & Solution Design

Define architectural blueprints for RAG pipelines, MCP-based agentic systems, and AI integration layers.
Lead implementation of Databricks Lakehouse-based MLOps pipelines using MLflow, Delta Lake, and Feature Store.
Architect high-availability AI workloads across AWS / Azure / GCP environments.

In ation & Implementation

Build and orchestrate AI agents using LangChain, CrewAI, AutoGen, LangGraph, or Semantic Kernel.
Establish frameworks for tool invocation, agent collaboration, and Model Context Protocol (MCP) communication.
Drive experimentation with new AI techniques multi-modal models, autonomous planning, or symbolic reasoning.

Governance & Quality

Implement best practices for Responsible AI, observability, and model explainability.
Define AI evaluation frameworks, safety protocols, and quality assurance mechanisms for LLMs and agents.
Ensure compliance with organizational and cloud governance policies.

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Exponentia Datalabs

Business Consulting and Services

Mumbai Maharashtra

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