AI Technical Capability Owner
7 days ago
Title: AI Technical Capability Owner
Location: Remote
Duration: 12 Months
Job Description:
- 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
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 framework
- 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
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