AI Ops / ML Ops Architect

Sorry, this job was removed at 04:04 p.m. (CST) on Tuesday, May 20, 2025
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Bangalore, Bengaluru, Karnataka
Hybrid
Cloud • Information Technology • Software
The Role
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 

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