We are seeking a highly experienced
Senior AI Ops Architect
with exceptional expertise in Gen-AI-enabled Cloud Engineering, Observability, Operational Intelligence, and AI-driven automation. The ideal candidate will bring 10+ years of enterprise-level architecture experience, with a focus on building innovative Gen-AI-enabled platforms, data-driven automation frameworks, and enterprise-grade AIOps solutions to advance operational efficiency.

Responsibilities
- Design and deliver scalable Gen-AI-powered AIOps solutions for large enterprise platforms to improve MTTR, achieve automated incident resolution, and drive operational excellence
- Architect and implement Gen-AI & LLM Engineering solutions using tools such as Amazon Bedrock, Azure OpenAI, Vertex AI, Anthropic, and LangChain
- Develop and optimize MLOps pipelines and model deployment workflows leveraging SageMaker, Azure ML, clustering, topic modeling, and anomaly detection techniques
- Implement RAG, Vector DBs, and advanced semantic search across platforms using PGVector, Elasticsearch, and Bedrock Knowledge Sources




- Create and automate solutions for Cloud Platforms and Infrastructure with AWS, Azure, GCP, Terraform, CloudFormation, and Helm, alongside Python and Shell Scripting
- Lead Kubernetes-based container orchestration and DevSecOps initiatives, including CI/CD pipelines, Istio, and KEDA deployment strategies
- Design and integrate serverless and cloud-native architectures using API Gateway, Lambda, Step Functions, DynamoDB, S3, and Kinesis
- Implement end-to-end Observability solutions using DataDog, OpenTelemetry, Dynatrace, Current Relic, Splunk, Moogsoft, and BigPanda
- Ensure seamless ITSM and ServiceNow integration for AI-driven operations and automation
- Work with ITSM tools like ServiceNow, Jira Service Management, and Manage Engine to streamline incident management workflows
- Provide thought leadership in AIOps, automation, and AI-powered operational intelligence to leadership and engineering

📌 Senior AI Ops Architect (Pune Division)
🏢 EPAM Systems
📍 Pune Division