Architect and deliver enterprise AI transformation programs using generative AI, agentic AI, LLMs, RAG, and multi-agent platforms. Lead solution architecture, technical discovery, customer engagements, engineering teams, architecture governance, and AI platform optimization. Partner with executives to define AI strategies and adoption roadmaps, support pre-sales, and mentor teams across AI, data science, platform engineering, and DevOps.
Role Overview
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.
eClerx LLC Pune, Mahārāshtra, IND Office
Block 01, Wing A – LG, 1st, 2nd and 3rd and Wing A & B 4th Floor, Quadron Business Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase 2, Pune, India, 411 057
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
