Associate Architect

PeopleStrong; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

PeopleStrong is seeking an AI Engineer to join the AI Engineering Agentic AI division, focusing on Azure, AWS, and OpenShift/Azure ML DevOps. You will collaborate with teams to propose AI solutions across insurance use cases, build and deploy models, and enhance DevOps practices.

The ideal candidate has 6–9 years of AI/ML experience, hands-on production deployment experience with Azure ML DevOps or OpenShift, and strong collaboration with global teams.

Qualifications

• 6–9 years of progressive experience in AI/ML with focus on Agentic AI and MLOps.
• Hands-on in deploying and managing AI models in production using Azure ML DevOps or OpenShift.
• Experience with Langchain, Langraph, Crew AI, and MLFlow DevOps for deployment and monitoring.

Responsibilities

• Collaborate with teams to propose AI solutions across insurance use cases with focus on Agentic AI and MLOps.
• Research, build, deploy AI models and manage them with Agentic AI practices for efficiency.
• Contribute to DevOps practices using OpenShift or Azure ML DevOps.

Skills

Agentic AI

MLOps

Langchain

Azure

OpenShift

Azure ML DevOps

LLMs

RAG

Prompt Engineering

CI/CD

Model Deployment

Monitoring

Tools

OpenShift

Azure DevOps

Jenkins

Job description

Job Description

JOB DESCRIPTION

Date: 22/05/2025

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 efficient 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
• 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