Technical owner

AI Technical Capability Owner

Req number:

R6341

Employment type:

Full time

Worksite flexibility:

Remote

Who we are

CAI is a global technology services firm with over 8,500 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 right-whatever 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

As AI Technical Capability Owner, you will define our technical "golden paths," reference architectures, and persona-approved toolsets across AWS and Databricks.

Job Description

We are looking for a AI Technical Capability Owner. This position will be full-time and remote .

What You'll Do

• Own the technical capability roadmap for the AI/ML CoE and 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, including batch/streaming, feature stores, training/serving, and GenAI patterns

• Publish reusable blueprints such as modules, templates, starter repositories, and CI/CD pipelines tailored for various personas like Data Scientists, ML Engineers, and Citizen AI/ML Developers

• Curate a suite of best-fit tools for data, ML, GenAI, and MLOps (e.g., Databricks Lakehouse, AWS S3, Bedrock for GenAI)

• Conduct evaluations, POCs, and vendor assessments to set selection criteria, SLAs, and TCO models

• Define technical guardrails for data security, lineage, access control, PII handling, and model risk management according to AI Policy

• Establish standards for experiment tracking, model registry, approvals, monitoring, and incident response

• Lead workshops, organize engineering guilds, and deliver "train-the-trainer" programs.

• Develop hands-on labs, documentation, and internal courses to upskill teams on AI/ML frameworks and tools

What You'll Need

Required:

• 8-12+ years of experience in data/ML platform engineering or ML architecture, with 3+ years designing solutions on AWS and Databricks at enterprise scale

• Proven expertise in defining reference architectures, golden paths, and reusable accelerators

• MLOps experience including experiment tracking (MLflow), CI/CD pipelines, feature stores, model serving, observability, drift/quality monitoring, and A/B or shadow testing

• Proficiency in GenAI patterns such as retrieval-augmented generation (RAG), vector search, prompt orchestration, and safety guardrails

• Security-by-design mindset with experience in IAM/KMS, network segmentation, data classification, and compliance frameworks

• Strong skills in organizing large groups (guilds, communities of practice, workshops) and influencing without authority

• Exceptional presentation and communication skills for both technical and executive audiences

Physical Demands

• Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

The pay range for this position is $95.00 - $110.00 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave as provided by applicable law.

#LI-GE1

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 [email protected] or (888) 824 - 8111.

The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.