Ajay Chembula

About Ajay Chembula

AI Delivery Leader with 23+ years of experience driving enterprise-scale transformation across telecom, technology, and BPM industries. I specialize in AI Strategy, Generative AI, Agentic AI, and LLM-based solutioning, with a strong track record of building and delivering high-impact, production-grade AI systems.Currently leading AI initiatives at Firstsource, I have conceptualized and built the relAI framework—an enterprise-grade foundation powering scalable AI solutions across the organization. My expertise spans end-to-end development of LLM and multimodal systems, product innovation, and transforming customer experiences through AI-powered contact centers.I bring a unique blend of strategic vision and execution excellence—driving innovation programs, delivering AI solutions aligned to business outcomes, and leading large, distributed teams across geographies. I have successfully delivered complex transformations, including large-scale contact center migrations and enterprise AI implementations.Key strengths include:• AI Strategy & Enterprise AI Adoption• Generative AI, Agentic AI, LLM Applications• AI-Powered Contact Centers & CX Transformation• Product Innovation & AI Solution Architecture• Large-Scale Delivery & Global Program LeadershipI am currently exploring leadership opportunities in AI Solutioning and Delivery across Hyderabad, Singapore, and Dubai, where I can drive next-generation AI transformation at scale.

Experience

1. Associate Vice President Senior Director - Ai Delivery

   Firstsource

   Apr 2025 — Present · Hyderabad, IN

   Generative AI Strategy and Model Development Lead the end-to-end development of generative AI systems using large language models (LLMs), multimodal models, and diffusion models tailored to client use cases. Evaluate, fine-tune, and orchestrate foundation models (e.g, GPT, LLaMA, Claude, Gemini) for custom domain-specific applications. Drive strategic decisions around model selection, in-context learning vs. fine-tuning, retrieval-augmented generation (RAG), and prompt engineering frameworks. AI Platform and Experimentation Layer Architect foundational experimentation platforms that enable rapid prototyping, prompt testing, A/B evaluation, and safe model iteration at scale. Develop reusable components (e.g, prompt libraries, evaluation harnesses, synthetic data generators, code accelerators) to accelerate GenAI production deployment across business units. Integrate automated guardrail and feedback systems (e.g, toxicity filters, hallucination detection, bias monitoring) directly into the experimentation lifecycle. Trust, Security, and Governance in GenAI Embed responsible AI principles and strict security controls in every layer of the GenAI lifecycle—from model selection to output monitoring. Ensure alignment with client-specific InfoSec policies, including data residency, encryption, identity management, and model interpretability. Collaborate with legal, compliance, and ethical review boards to drive GenAI safety, explainability, and regulatory alignment (e.g, GDPR, HIPAA, SOC 2). Cross-Functional Leadership and Strategic Influence Lead, mentor, and scale multi-disciplinary teams across AI research, product engineering, data science, DevOps, and client delivery. Act as a senior thought leader internally and externally on the future of GenAI, shaping technical direction and enterprise innovation strategies.

Education

• Doctor Babasaheb Ambedkar Marathwada University

  Bachelor of engineering, Electronics

Skills

• Sdlc
• Agile Methodologies
• Requirements Analysis
• Soa
• Web Services
• Xml
• Oracle
• Solution Architecture
• Java
• Pl/Sql
• Software Development
• Java Enterprise Edition
• Microsoft Sql Server
• Asp.net
• Unix
• Core Java
• C#
• C++
• Scrum
• Product Lifecycle Management
• Visio
• .net
• Program Management
• Telecommunications
• C
• Software Project Management
• Sql
• Integration
• Enterprise Architecture
• Business Analysis
• Javascript
• Business Intelligence
• Shell Scripting
• Spring Framework
• Struts
• Hibernate
• Big Data
• Service-Oriented Architecture (Soa)
• Us Patent