JOB DESCRIPTION

Date: 22/05/2025

Job Title: Senior AI Engineer – AI Engineering Agentic AI

Location : Pune / Bangalore

Female Candidate Preference

Join us as an AI Engineer within the AI Engineering Agentic AI, division of DAAS (Data, AI & Automation Services), specializing in Azure, AWS, and OpenShift/Azure ML DevOps. In this role, you'll:

- Collaborate with different teams to propose AI solutions on different use cases across the insurance value chain, with a focus on Agentic AI and MLOps
- Research, build, and deploy AI models as part of the broader AI team, leveraging Agentic AI and MLOps practices for effective model management
- Contribute to our DevOps practices using OpenShift or Azure ML DevOps

If you're an intermediate enthusiast in the field of AI and passionate about exploring AI use cases in insurance, seize this opportunity to join us and make a significant impact.

Technical skills:

Expertise is required in the following fields:

- Implementation of at least 5 AI projects, preferably with experience in Agentic AI and MLOps




- Experience with Langchain, Langraph, Crew AI, Azure, OpenShift, MLFlow DevOps for model deployment, monitoring, and management
- Setting up CI/CD pipelines using Azure DevOps, Jenkins, etc.
- Hands-on experience with Generative AI tech – LLMs, RAG, Prompt Engineering
- Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, CNNs) RNNs, transformers, and attention mechanisms

Soft skills:

- Work collaboratively with broader Data and Tech teams, along with global multi-lingual teams.
- Communicate effectively with non-technical stakeholders for collecting requirements, communicating deliverables, value generated, challenges.

Background and experience:

- 6-9 years of progressive experience in AI and ML, with a focus on Agentic AI and MLOps
- Experience in deploying and managing AI models in production environments using Azure ML DevOps or OpenShift

📌 Associate Architect (Maharashtra)
🏢 AXA Global Business Services
📍 Maharashtra