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