[Remote] Senior AI Forward Deployed Engineer - VP

Note: The job is a remote job and is open to candidates in USA. EXL is seeking a visionary and technically adept Vice President (VP) in their AI Innovation & R&D team to lead innovative client-facing initiatives in Generative and Agentic AI. This role involves advising clients in Insurance, Healthcare, and Banking, designing AI solutions, and driving implementations while collaborating with various teams to deliver transformative results.

Responsibilities

• Innovative Senior Software Engineer experience in developing scalable AI Agentic frameworks, ML modeling pipelines, and cloud-native applications. Expertise in Python, Langchain/LangGraph, and RAG systems. Proven ability to design end-to-end solutions, mentor teams, and drive cross-functional collaboration to achieve impactful results
• Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients’ use cases and needs in new modern ways
• Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope
• Any domain background in Insurance, Trading, Banking, Credit Risk, Healthcare, and Finance
• Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development
• Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects
• Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions
• Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design
• Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress
• Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle
• Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms

Skills

• 9-12 years of experience in AI/ML/Data Science
• Bachelor's degree in computer science, AI, Machine Learning, or a related quantitative field
• Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery
• Proven ability to lead and motivate diverse, global teams
• Excellent communication skills, capable of explaining complex AI concepts to various stakeholders
• Strong project and program management skills and experience working in Agile environments
• Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings
• Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services
• Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications
• Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK)
• Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration)
• Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems
• Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems
• Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor
• Experience with auto data-labeling and synthetic data generation techniques
• Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS)
• Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems
• Master's or Ph.D. strongly preferred
• Prior experience in technology consulting or a client-facing technical specialist role within a technology provider is highly advantageous
• Experience working effectively with global teams across multiple geographic locations is a plus

Benefits

• A competitive salary and comprehensive benefits package.
• The opportunity to work on pioneering Generative and Agentic AI projects with a talented, global team.
• A platform to influence AI strategy and adoption for major clients across various industries.
• A supportive, collaborative, and innovative work environment.
• The chance to be a visible leader and make a significant impact on the future of AI application.

Company Overview

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