About this role
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
Job Description: Lead / Assistant Manager – AI Engineer (Advanced Agentic AI)Location: Delhi NCRLevel: Lead / Assistant ManagerAbout EXL ServiceEXL Service is at the forefront of embedding AI into enterprise operations. We are scaling solutions like MiAI Call Simulator, AI Trainer, Upskill.AI, and Transition AI Toolkit to drive measurable impact across Insurance, Healthcare, Banking, and Retail.We are seeking AI Engineers with strong full-stack development skills to design and build Advanced Agentic AI systems that orchestrate multi-step reasoning, integrate enterprise applications, and deliver next-generation AI-driven automation.Key ResponsibilitiesAI Engineering & DevelopmentDesign, develop, and deploy Agentic AI workflows using LLMs, orchestration frameworks (LangGraph, LangChain, Semantic Kernel), and advanced prompting strategies.Build scalable full-stack applications integrating AI agents with enterprise platforms (ServiceNow, Salesforce, Jira, custom APIs).Develop self-healing automations, API connectors, and middleware to enable seamless human-AI collaboration.Architecture & Systems IntegrationArchitect end-to-end AI solutions covering data ingestion, model orchestration, microservices, and UI layers.Leverage cloud-native infrastructure (Azure OpenAI, AWS Bedrock, GCP Vertex AI) to build secure and compliant AI systems.Ensure AI agents adhere to governance, auditability, and compliance frameworks (GDPR, HIPAA, PCI-DSS).Product & InnovationCollaborate with Product Managers to translate business requirements into AI-first features.Prototype, test, and optimize Agentic AI capabilities for enterprise-scale adoption.Contribute to EXL’s AI Innovation labs with cutting-edge solutions in conversational AI, simulation, and process automation.Team & DeliveryMentor junior engineers in AI frameworks and full-stack practices.Drive Agile ceremonies, ensure backlog delivery, and maintain production-ready AI deployments.Partner with cross-functional teams (SMEs, designers, DevOps, QA) to ensure quality and scalability.Required Skills & ExperienceCore AI/ML Skills5–8 years of experience in software engineering / AI engineering.Strong experience in building Agentic AI solutions with LLM orchestration (LangChain, LangGraph, AutoGen, Semantic Kernel).Hands-on with RAG (Retrieval Augmented Generation), fine-tuning, and multi-agent orchestration.Exposure to voice / conversational AI (Azure Cognitive Services, Twilio, Dialogflow, etc.) a plus.Full-Stack DevelopmentStrong in JavaScript/TypeScript, React/Next.js, Node.js, Python.Proficiency in REST / GraphQL APIs, microservices, containerization (Docker, Kubernetes).Strong knowledge of databases (SQL/NoSQL, vector DBs like Pinecone, Weaviate, Chroma).Cloud & DevOpsExperience with Azure (preferred), AWS, or GCP AI services.Knowledge of CI/CD, MLOps pipelines, and monitoring tools.Familiarity with security practices (OAuth2.0, JWT, API security, data encryption).Soft SkillsStrong problem-solving with system-level thinking.Ability to work in agile squads and deliver in fast-paced environments.Good communication and ability to collaborate with product/business teams.Preferred / Good-to-HaveExposure to Agent simulation environments for training and testing (e.g., CrewAI, OpenAI Swarm).Experience with GenAI integrations in enterprise L&D, Customer Service, or Operations platforms.Contributions to open-source AI frameworks.Certifications: Azure AI Engineer Associate, TensorFlow Developer, or equivalent.