EXL · 7 hours ago
Senior, GenAI Architect
NYC Metro Area
Full-time
Hybrid
Senior Level, Lead/Staff
$165K/yr - $220K/yr
10+ years expEXL is seeking a visionary and technically adept Senior GenAI Architect to join EXL’s AI Innovation & R&D team, spearheading innovative client-facing initiatives in Generative and Agentic AI. The role involves advising clients, designing AI solutions, and leading complex implementations to drive business value and influence AI strategy across various industries.
AnalyticsBankingOutsourcing
Responsibilities
AI Architecture Innovation Research & Design: 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
Client Advisory & Solutioning: 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
Workshop Facilitation: 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
Technical Leadership & Architecture: 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
Project & Engagement Leadership: 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
Technical Mentorship: 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
Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress
Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle
Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms
Qualification
Required
Minimum 10+ years of experience in AI/ML/Data Science, with 5+ years of significant leadership roles involving solution architecture, team management, and project delivery
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
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
Bachelor's degree in computer science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred
Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience using Cursor, Windsurf, Replit, and Github Copilot. FastAPI and API endpoints
Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation
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)
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
Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems
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
Preferred
Proven ability to lead and motivate diverse, global teams
Excellent communication skills, capable of explaining complex AI concepts to various stakeholders
Excellent project and program management skills and experience working in Agile environments
Company
EXL
EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries
10001+ employees
H1B Sponsorship
EXL has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$150MKey Investors
The Orogen GroupFTV Capital
2018-10-02Post Ipo Debt· $150M
2006-10-20IPO
2004-12-01Series Unknown
Leadership Team
Rohit Kapoor
Chairman & Chief Executive Officer
Brad Burdick
SVP, Insurance Domain Platforms
Recent News
GlobeNewswire
2026-01-13
MarketScreener
2025-12-24
SalesTech Star
2025-12-24
Company data provided by crunchbase