Senior AI Ops Architect

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.

• 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 New 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 teams

• 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 driving efficiencies like MTTR improvement and operational automation
• Expertise in Gen-AI and LLM Engineering tools such as Amazon Bedrock Azure OpenAI Vertex AI Anthropic LangChain and Bedrock Agents
• Proficiency in RAG Vector Databases and semantic search solutions like PGVector Elasticsearch and Bedrock Knowledge Sources
• Background in MLOps model development and machine learning techniques using SageMaker Azure ML clustering topic modeling and anomaly detection
• Skills in cloud engineering and automation technologies including AWS Azure GCP Terraform CloudFormation Helm Python and Shell Scripting
• Capability to design and operate Kubernetes-based infrastructure CI/CD pipelines security automation Istio and KEDA
• Familiarity with serverless computing and cloud-native tools like API Gateway Lambda Step Functions DynamoDB S3 and Kinesis
• Knowledge of Observability platforms such as DataDog OpenTelemetry Dynatrace New Relic Splunk Moogsoft and BigPanda
• Understanding of ITSM platforms including ServiceNow Jira Service Management and Manage Engine
• Showcase of AI and Machine Learning expertise in areas like anomaly detection GenAI implementation and agentic AI solutions
• Ability to communicate effectively in both written and spoken English (B2 level or higher)

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