241195-Lead Assistant Manager

EXL Talent Acquisition Team; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

EXL Service is hiring for a Lead/Assistant Manager AI Engineer to design and deploy Agentic AI workflows across enterprise platforms. You will enable scalable AI agents using LangChain, LangGraph, and Semantic Kernel, while ensuring governance and production readiness.

You will collaborate with product teams to convert business requirements into AI-first features, mentor engineers, and drive agile delivery in a fast-paced environment within the Delhi NCR location.

Qualifications

• 5-8 years of software/AI engineering experience.
• Experience building agentic AI solutions with multi-agent orchestration.
• Exposure to voice/conversational AI (Azure, Twilio, Dialogflow) is a plus.

Responsibilities

• Design, develop, and deploy Agentic AI workflows using LLMs and orchestration frameworks.
• Build scalable full-stack apps integrating AI agents with enterprise platforms (ServiceNow, Salesforce, Jira).
• Develop self-healing automations, API connectors, and middleware for human-AI collaboration.
• Architect end-to-end AI solutions including data ingestion, model orchestration, microservices, and UI layers.
• Leverage cloud-native infra (Azure, AWS, GCP) for secure AI systems with governance.
• Mentor junior engineers and drive Agile ceremonies for production AI deployments.

Skills

Agentic AI workflows

LLM orchestration

RAG & fine-tuning

Conversational AI exposure

Tools

JavaScript/TypeScript

React/Next.js

Node.js

Python

REST/GraphQL

Docker/Kubernetes

SQL/NoSQL

Vector DBs

Job description

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

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.

Location: Delhi NCR

Level: Lead / Assistant Manager

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.