AI Ops / ML Ops Architect
India - Bangalore
Public Cloud - Offerings and Delivery – Cloud Data Services /
Full - Time /
Hybrid
AI Ops Roles – Job Descriptions
Offshore Solution Architect – AI Ops & Data Platform
Must Have (Technical)
- 10+ years in solution architecture, preferably in AI/DataOps-heavy environments
- Strong experience in AWS Glue, Athena, S3, Lambda, CloudWatch
- Experience architecting systems using Amazon Bedrock (Agents, Knowledge Base) or SageMaker pipelines
- Deep understanding of ETL pipeline orchestration and log telemetry (Airflow, Glue Workflows, Step Functions)
- Working knowledge of CI/CD (CodePipeline, CodeBuild, ECR)
Good to Have (Technical)
- Familiarity with observability tooling (Datadog, X-Ray, Prometheus)
- Prior exposure to LangChain or RAG workflows
- Terraform/CloudFormation for IaC
- Awareness of CBA toolsets like Omnia, Greenfield, Obstack
Soft Skills
- Strong client-facing communication and documentation skills
- Ability to negotiate solution tradeoffs and handle ambiguity
- Confident in driving architecture workshops with enterprise stakeholders
Project Skills
- Translate requirements into architecture and sprint-level workplans
- Experience delivering in Agile or DevOps-driven programs
- Comfortable working in staff augmentation or client-embedded model
Key Responsibilities
- Architect and own the delivery of the AI Ops RCA solution end-to-end
- Collaborate with client (Tom, Jason) to validate use cases, KPIs, and constraints
- Ensure integration of AWS-native tools with client observability, ServiceNow, and DataOps environments
- Guide offshore/onshore team in implementation, testing, and rollout
- Own platform documentation and handover artifacts
