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.
Skills Required
- 13+ years of experience in software engineering, AI engineering, solution architecture, or enterprise technology
- Experience leading enterprise AI delivery and customer-facing engagements
- 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.
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Healthcare Strength — Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
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Retirement Support — Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
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Leave & Time Off Breadth — Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.
eClerx LLC Insights
What We Do
eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.
