AI Engineering Lead / Architect - GenAI

**We Are Hiring Exavalu Solutions India** ** AI ENGINEERING LEAD / Architect - GenAI AWS MLOps**

Note: Please do not apply if your notice is more than 30 days.

Location: Remote Hybrid (Kolkata & Chennai)

Are you passionate about building production-ready AI systems and transforming the potential of Generative AI into real-world enterprise solutions?

This could be your next big opportunity!

At Exavalu, we are building innovative technology solutions at the intersection of Insurance, Data, AI and Cloud. We are looking for a highly skilled and hands-on AI Engineering Lead who can help us design, build, deploy and scale the next generation of intelligent enterprise solutions.

About Exavalu

Exavalu is a global consulting and technology services company specializing in Digital Transformation, Cloud Engineering, Data & AI Solutions, and enterprise platform implementations.

We serve global clients across Insurance, Healthcare & Life Sciences, and BFSI sectors, delivering scalable and high-impact technology solutions.

Website: https://www.exavalu.com

LinkedIn: https://www.linkedin.com/company/exavalu/

You will get the opportunity to work on:

Cutting-edge AI & Generative AI solutions

Modern Cloud technologies and AWS ecosystem

LLMs, RAG and enterprise AI platforms

Large-scale Data & AI engineering challenges

Enterprise and regulated industry use cases

Building AI solutions that move beyond experimentation into real production environments

If you enjoy solving complex problems and want to be part of building intelligent, scalable and responsible AI solutions, we’d love to hear from you!

Position: AI Engineering Lead / Architect

Experience: 10+ Years Overall

AI/ML Engineering Experience: Minimum 5+ Years

Notice Period: Immediate to 30 Days Preferred

What We’re Looking For

Hands-on experience building production-grade AI/ML systems

Strong expertise in Generative AI, LLMs, RAG & NLP

Experience with AWS Bedrock and Amazon SageMaker

Strong knowledge of AWS Lambda, S3, Glue & EKS

Experience building Data & AI pipelines

Strong understanding of MLOps, CI/CD, Monitoring & Model

Versioning

Experience with Vector Databases such as Pinecone, Weaviate, etc.

Exposure to Docker & Kubernetes

Knowledge of Responsible AI, AI Security, Guardrails & Governance

Domain Preference

Experience in the Insurance domain will be an added advantage.

Interview Steps: Technical Round (online) –> Leadership Round –> Face to face final Round (Mandatory in office) –> HR Round

How to Apply directly

Share your updated CV to ( [email protected] ) with below mandatory details

Your Full Name:

Current Location:

Your LinkedIn ID Link:

Current Organization Name:

Total Experience:

Relevant Experience (in AI):

Current CTC:

Expected CTC:

Official Notice Period:

In how many days you can join us:

Your Contact Number:

Your Email:

Are you serving Notice (if yes then what is your last working day):

Note: Application will not be accepted / processed if you don’t send all details with updated resume attached in Same mail.

Recruiter Name: Robin Bhattacharjee

Contact Number: 9679134921

LinkedIn ID Link:https://www.linkedin.com/in/robin-bhattacharjee-742881175/