Lead Forward Deployed AI Engineer

Job description

**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. **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).