Senior AI Ops Architect

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Senior AI Ops Architect

PAM India

Chennai / Pune / Bengaluru / Hyderabad

19+ years

Today

$102.4K–103.6K/yr

Full-time

Onsite

Skills Required

LLM

RAG

Gen AI

Azure OpenAI

Anthropic

LangChain

Vector Database

AIOps

Amazon Bedrock

Vertex AI

MLOps

SageMaker

Azure ML

anomaly detection

clustering

Description

Senior AI Ops Architect role focused on Gen-AI-enabled cloud engineering, observability, operational intelligence, and AI-driven automation. The position targets enterprise-scale AIOps solutions that improve MTTR and automate incident resolution.

Company: PAM India

Role: Senior AI Ops Architect

Location: Office in Chennai, Pune, Bangalore, Hyderabad

Experience

• 19+ years of overall IT experience
• 10+ years of professional experience in Enterprise Cloud, Infrastructure Engineering, SRE, Automation, and Architecture roles
• Proven track record of delivering Gen-AI-powered AIOps solutions in production environments
• Ability to communicate effectively in both written and spoken English (B2 level or higher)
  
  

Responsibilities

• Design and deliver scalable Gen-AI-powered AIOps solutions for large enterprise platforms
• Improve MTTR, achieve automated incident resolution, and drive operational excellence
• Architect and implement Gen-AI and LLM Engineering solutions
• Develop and optimize MLOps pipelines and model deployment workflows
• Implement RAG, Vector DBs, and advanced semantic search across platforms
• Create and automate solutions for cloud platforms and infrastructure
• Lead Kubernetes-based container orchestration and DevSecOps initiatives
• Design and integrate serverless and cloud-native architectures
• Implement end-to-end observability solutions
• Ensure seamless ITSM and ServiceNow integration for AI-driven operations and automation
• Work with ITSM tools to streamline incident management workflows
• Provide thought leadership in AIOps, automation, and AI-powered operational intelligence
  
  

Additional Responsibilities

• Support leadership and engineering teams with operational intelligence and automation guidance
  
  

Nice To Have

• Experience leading AIOps or Cloud Practices or platform engineering organizations
• Certifications in AWS ML, Cloud Architecture, or AI Leadership
  
  

More Skills

LLM Engineering, Bedrock Agents, topic modeling, PGVector, Elasticsearch, Bedrock Knowledge Sources, AWS, Azure, GCP, Terraform, CloudFormation, Helm, Python, Shell Scripting, Kubernetes, CI/CD pipelines, DevSecOps, Istio, KEDA, API Gateway, Lambda, Step Functions, DynamoDB, S3, Kinesis, DataDog, OpenTelemetry, Dynatrace, New Relic, Splunk, Moogsoft, BigPanda, ServiceNow, Jira Service Management, Manage Engine, agentic AI

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