Job Description

Lead Assistant ManagerEXL/LAM/1464592


Global TechnologyNoida
Posted On
28 Aug 2025
End Date
12 Oct 2025
Required Experience
5 - 10 Years



Basic Section
Number Of Positions


8


Band


B2


Band Name


Lead Assistant Manager


Cost Code


G070102


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1500000.0000 - 2000000.0000


Complexity Level


Not Applicable


Work Type


Work From Office - Fully Working From EXL/ Client Offices


Organisational
Group


Enabling


Sub Group


Global Technology


Organization


Global Technology


LOB


Global Technology


SBU


Technology Operations


Country


India


City


Noida


Center


Noida - Centre 59




Skills
Skill


AI CONCEPT


Minimum Qualification


B TECH


Certification


No data available

: 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

.
Workflow
Workflow Type


L&S-DA-Consulting