About Exavalu

Founded in 2018 and headquartered in Newport Beach, California, Exavalu is built by former CIOs, CXOs, and Big 5 consulting leaders. We specialize in delivering enterprise-scale digital transformation solutions across Insurance, Banking & Financial Services, and Healthcare industries.

With delivery centers across India, Canada and the US, Exavalu is recognized for its agile culture, innovation mindset, and employee-first setting. We are committed to building modern, scalable, and business-driven technology solutions for global enterprise clients.

Why Exavalu?

- Opportunity to work with global enterprise customers
- Exposure to modern technology stacks and enterprise transformation projects
- Strong learning, growth, and innovation-driven culture
- Collaborative engineering environment with high-impact project exposure

Position: AI Architect / Technical Lead

Experience: 10+ years

Location: Remote

Employment Type: Full-Time

About the Role

We are looking for an AI Architect/Technical Lead who can design and build production-grade AI and Generative AI solutions and lead the engineering journey from experimentation to enterprise-scale deployment.

The ideal candidate should be a hands-on AI/ML engineering leader with strong expertise in Generative AI, LLMs, RAG, AI orchestration and AWS AI services , with the ability to architect scalable, secure and responsible AI solutions.

You Will Get the Opportunity to Work On

- Cutting-edge AI & Generative AI solutions
- Modern Cloud technologies and the 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
- Designing scalable and responsible AI architectures for enterprise clients

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!

Key Responsibilities

- Architect, design and develop production-grade AI/ML and Generative AI solutions .
- Lead the engineering of LLM-based applications, RAG pipelines and enterprise AI platforms .
- Design and implement AI orchestration frameworks for multi-step AI workflows and enterprise use cases.
- Build scalable Data & AI pipelines across cloud and enterprise environments.
- Leverage AWS services such as Amazon Bedrock and Amazon SageMaker to develop and deploy AI solutions.
- Design cloud-native architectures using AWS Lambda, S3, Glue and EKS .
- Establish and implement MLOps practices , including CI/CD, model versioning, monitoring and automated deployment.
- Work with Vector Databases and retrieval architectures for enterprise RAG applications.
- Ensure AI systems are designed with appropriate security, governance, guardrails and Responsible AI principles .
- Collaborate with Data Engineering, Cloud,



Product and Business teams to translate complex business requirements into scalable AI solutions.
- Provide technical leadership and mentorship to AI/ML engineers.
- Evaluate emerging AI technologies and identify opportunities to bring them into production.

What We're Looking For

Technical Expertise

- 10+ years of overall technology experience , with at least 3–5+ years of hands-on AI/ML engineering experience .
- Strong hands-on experience building production-grade AI/ML systems .
- Strong expertise in:
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- NLP
- AI/ML engineering
- AI orchestration experience is mandatory.
- Strong hands-on experience with AWS Bedrock and Amazon SageMaker .
- Good knowledge of:
- AWS Lambda
- Amazon S3
- AWS Glue
- Amazon EKS
- Experience building and deploying Data & AI pipelines .
- Strong understanding of MLOps, CI/CD, monitoring and model versioning .
- Experience with Vector Databases such as Pinecone, Weaviate or equivalent technologies .
- Exposure to Docker and Kubernetes .
- Strong understanding of AI security, Responsible AI, guardrails and AI governance .
- Ability to translate AI concepts and prototypes into scalable, production-ready enterprise solutions .

Preferred / Good to Have

- Experience working with Insurance or other regulated industries .
- Experience designing enterprise-grade AI platforms.
- Experience working with complex enterprise data environments.
- Exposure to multi-agent AI systems and agentic workflows.
- Experience leading or mentoring AI/ML engineering teams.
- Strong understanding of cloud architecture and distributed systems.

📌 AI Architect / Technical Lead (India)
🏢 Exavalu
📍 India