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AI Ops / ML Ops Architect

RackspacePosted 4/30/2025

Rackspace logo

AI Ops / ML Ops Architect

Rackspace

Job Location

India

Job Summary

We are seeking an AI Ops / ML Ops Architect to design and deliver AI solutions using Roboflow's tools. The ideal candidate will have 10+ years of experience in solution architecture, preferably in AI/DataOps-heavy environments. They should be familiar with AWS Glue, Athena, S3, Lambda, CloudWatch, and have experience architecting systems using Amazon Bedrock or SageMaker pipelines. Strong client-facing communication and documentation skills are required, as well as the ability to negotiate solution tradeoffs and handle ambiguity. The successful candidate will work collaboratively with clients and offshore/onshore teams to deliver AI Ops solutions end-to-end. With flexible remote work options and a fast-growing company, this is an exciting opportunity for a seasoned professional or early tinkerer with AI.

Job Description

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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