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Principal II AI Platform Engineer, GenAI

AI Engineer Part-time Permanent United States

Job details

$250,000 - $300,000 Salary
United States Eligibility
Principal Experience
Part-time Employment

About this role

Role overview Lead the design and hands-on delivery of production generative AI applications and agent systems, including conversational and member-facing experiences. This senior individual contributor will set technical direction across teams while building reusable AI platform capabilities, integrating them with a Databricks environment, and helping ensure deployed systems are secure, reliable, and maintainable.

Responsibilities - Architect, build, deploy, and operate AI agents, conversational products, APIs, and workflows for production use. - Develop reusable agent capabilities for orchestration, tool calling, retrieval augmented generation, vector search, context handling, and model integration. - Design platform patterns for Databricks model serving, retrieval, governance, and enterprise integration. - Set technical direction on architecture, scalability, integrations, and build-versus-buy decisions, and remain accountable for implementation. - Establish practices for evaluation, automated testing, CI/CD, model and prompt versioning, observability, and incident troubleshooting. - Apply privacy protections, access controls, and guardrails; monitor system performance and cost; mentor engineers and partner with product, data, security, compliance, and engineering teams.

Requirements - Bachelor’s degree in a relevant technical field or equivalent practical experience. - 12+ years building and operating production software, platforms, or machine learning systems, including leadership of large, multi-team technical initiatives. - 5+ years of production Databricks experience, including Lakehouse architecture, Unity Catalog, Delta Lake, Spark or PySpark tuning, Workflows, SQL, and cost management. - Strong foundations in traditional machine learning or deep learning, with substantial recent hands-on experience engineering production generative AI or LLM applications. - Strong Python skills and experience delivering production AI services or APIs with testing, CI/CD, monitoring, and operational support. - Demonstrated ability to set standards, mentor engineers, communicate technical decisions, and lead through expertise while remaining hands-on.

Benefits and work setup The role includes participation in on-call support as a senior escalation resource. Applicants must already be authorized to work in the United States; visa sponsorship or transfer is unavailable.

Skills detected in the listing

PythonSQLSnowflakedbtCCPAAzureDockerKubernetesTerraformMachine LearningLLM
Detected Nov 11, 2026
Last verified Nov 12, 2026

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