Lead Assistant Manager

Job Description: Lead / Assistant Manager – AI Engineer (Advanced Agentic AI)

Location: Delhi NCR
Level: Lead / Assistant Manager

About EXL Service

EXL 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 Responsibilities

• AI Engineering & Development

  • Design, 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 Integration

  • Architect 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 & Innovation

  • Collaborate 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 & Delivery

  • Mentor 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 & Experience

• Core AI/ML Skills

  • 5–8 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 Development

  • Strong 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 & DevOps

  • Experience 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 Skills

  • Strong 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-Have

• Exposure 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.