AIML Technical Capability Owner

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Who we are

CAI is a global technology services firm with over 8500 associates worldwide and a yearly revenue of $1 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Job Description

What Youll Do

• Own the technical capability roadmap for the AI/ML CoE; understand technical user needs on AI capabilities align with the Business Capability Owner on outcomes funding chargeback model governance and adoption plans. Translate company goals into technical guardrails accelerators and opinionated defaults for AI/ML delivery.
• Design and maintain end-to-end reference architectures on AWS and Databricks (batch/streaming feature stores training/serving RAG/GenAI Agentic AI). Publish reusable blueprints (modules templates starter repos CICD pipelines) and define golden paths for each persona (Data Scientist ML Engineer Data Engineer Analytics Engineer Software Engineer TE Citizen AI/ML Developer).
• Curate the best-fit suite of tools across data ML GenAI and MLOps/LMMOps (e.g. Databricks Lakehouse Unity Catalog MLflow Feature Store Model Serving; AWS S3 EKS/ECS Lambda Step Functions CloudWatch IAM/KMS; Bedrock for GenAI; vector tech as appropriate). Run evaluations/POCs and vendor assessments; set selection criteria SLAs and TCO models.
• Define technical guardrails for data security (Structured and Unstructured Data) lineage access control PII handling and model risk management in accordance with TEs AI policy. Identifying enhancements or improvements to TEs AI Policy based on user feedback. Establish standards for experiment tracking model registry approvals monitoring and incident response.
• Lead large cross-functional workshops; organize engineering guilds office hours and train-the-trainer programs. Create documentation hands-on labs and internal courses to upskill teams on the golden paths.
• Partner with platform and product teams to stand up shared services (feature store model registry inference gateways evaluation harnesses). Advise solution teams on architecture reviews; unblock complex programs and ensure alignment to standards.
• Present roadmaps and deep-dive tech talks to execs and engineering communities; produce clear decision memos and design docs. Showcase ROI and adoption win through demos KPIs and case studies.

What Youll Need

Required:

• 812 years in data/ML platform engineering ML architecture or similar; 3 years designing on AWS and Databricks at enterprise scale.
• Proven experience defining reference architectures golden paths and reusable accelerators.
• Strong MLOps experience: experiment tracking (MLflow) CI/CD for ML feature stores model serving observability (data & model) drift/quality A/B or shadow testing.
• GenAI experience: RAG patterns vector search prompt orchestration safety/guardrails evaluation.
• Security-by-design mindset (IAM/KMS network segmentation data classification secrets compliance frameworks).
• Track record organizing large groups (guilds communities of practice multi-team workshops) and influencing without authority.
• Excellent presenter and communicator to both technical and executive audiences.
• AWS certifications (e.g. Solutions Architect Machine Learning Specialty); Databricks Lakehouse/ML certifications.
• Experience with Kubernetes/EKS IaC (Terraform) Delta Live Tables/Workflows Unity Catalog policies.
• Background in manufacturing/industrial IoT/edge helpful.

Physical Demands

• This role involves mostly sedentary work with occasional movement around the office to attend meetings etc.
• Ability to perform repetitive tasks on a computer using a mouse keyboard and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).