6 дней назад
Director, AI and Agentic Engineering (AI)
215 000 - 306 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, AI and Agentic Engineering (AI): Leading the strategy, architecture, delivery, and operations of enterprise AI platforms and production-grade generative and agentic AI solutions with an accent on scalable platform capabilities, responsible AI, and cross-functional product leadership. Focus on agent orchestration, retrieval-augmented generation, AI-native engineering practices, governance, security, evaluation, and measurable business outcomes.
Location: Alameda, California, United States; office-based work environment. Travel: up to 10%.
Base salary: $215,000–$306,000 annually, depending on geographic market, qualifications, and experience.
Company
is a biotechnology company developing and commercializing medicines, with enterprise technology functions supporting its business and regulated operations.
What you will do
- Define and execute the strategy, roadmap, and operating model for enterprise AI platforms and reusable services.
- Lead the architecture and delivery of AI platform capabilities, including agent orchestration, retrieval-augmented generation, evaluation, observability, governance, and integrations.
- Oversee production-grade generative AI, agentic AI, and automation solutions that improve productivity, decision support, and operational efficiency.
- Apply product management practices covering opportunity assessment, prioritization, roadmaps, adoption, value measurement, and lifecycle management.
- Partner with business, data, security, privacy, legal, compliance, architecture, and application teams to deliver governed AI solutions.
- Recruit, mentor, and develop technical staff while establishing engineering standards, documentation, playbooks, and enablement materials.
Requirements
- Bachelor’s degree with 13 years of related experience, master’s degree with 11 years, or an equivalent combination.
- At least 5 years of experience in AI engineering or cloud platform engineering, plus leadership experience overseeing cross-functional teams.
- Experience with the full lifecycle development, validation, and support of cloud-based platforms and solutions.
- Advanced knowledge of AI engineering, generative AI, agentic AI patterns, cloud-native design, enterprise integration, production operations, and responsible AI.
- Hands-on experience with LLMs, prompt and context engineering, tool use, multi-step workflows, vector search, evaluation, monitoring, guardrails, and agent orchestration.
- Experience with AWS, Amazon Bedrock, Databricks Mosaic AI, or equivalent platforms, as well as APIs, data pipelines, identity, secrets management, CI/CD, DevSecOps, and enterprise security.
Nice to have
- Knowledge of life sciences, biotechnology, clinical, regulatory, GxP, SOX, 21 CFR Part 11, or validated system environments.
Culture & Benefits
- Collaborative office environment with equipment including dual monitors and ergonomic chairs.
- 401(k) plan with company contributions, medical, dental, vision, life, disability, and flexible spending benefits.
- Annual discretionary bonus program and opportunities to purchase company stock and receive long-term incentives.
- 15 accrued vacation days in the first year, 17 paid holidays, a company-wide December winter shutdown, and up to 10 sick days annually.
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