Job Description

We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery leadership, and customer engagement to build scalable AI platforms that drive business innovation.

The ideal candidate will be a techno-functional leader with extensive experience in Generative AI, Agentic AI, LLMs, AI platform engineering, enterprise solutioning, and large-scale customer engagements. You will lead technical teams, mentor engineers, and work closely with CXOs and business leaders to deliver AI-powered transformation initiatives.

Key Responsibilities

Lead the design, architecture, and deployment of enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, RAG, and AI Agents.
Partner with clients to define AI strategies, solution roadmaps, and enterprise AI adoption plans.
Lead AI solutioning, architecture workshops, and technical discovery sessions.
Drive AI-enabled transformation across business operations and Software Development Lifecycle (SDLC).
Architect intelligent automation and multi-agent solutions using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar platforms.
Optimize AI platforms for performance, accuracy, scalability, latency, and operational cost.
Lead cross-functional engineering teams across AI, Data Science, Platform Engineering, and DevOps.
Establish engineering standards, architecture governance, code reviews, and AI best practices.
Mentor engineering teams and promote innovation across enterprise AI programs.
Support pre-sales, solution consulting, executive presentations, and strategic client engagements.

Required Skills & Qualifications

13+ years of experience in Software Engineering, AI Engineering, Solution Architecture, or Enterprise Technology.
Proven experience leading enterprise AI delivery and customer-facing engagements.
Strong expertise in LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, AI Agents, and AI orchestration frameworks.
Hands-on experience with LangGraph, CrewAI, LangChain, LlamaIndex, or similar platforms.
Strong knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, and enterprise AI ecosystems.
Experience building scalable AI platforms using Python, Hugging Face, PyTorch, TensorFlow, and modern AI frameworks.
Strong understanding of software architecture, APIs, microservices, distributed systems, and cloud-native development.
Experience leading technical teams and mentoring engineers.
Excellent communication, stakeholder management, consulting, and client engagement skills.

Preferred Skills

Experience with MLOps, LLMOps, AI governance, and Responsible AI.
Expertise in PEFT, LoRA, QLoRA, model optimization, and inference acceleration.
Experience contributing to AI platform strategy, innovation, or enterprise AI Centers of Excellence (CoEs).

About The Team

eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Associate Program Manager