5 часов назад
Senior Manager, Software Development Engineering (AI)
209 600 - 314 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Software Development Engineering (AI) (LLMs, RAG, and agent orchestration): Building and leading teams developing production-grade AI agents for Workday’s HR and Finance platform with an accent on scalable, secure, and reliable enterprise integrations. Focus on designing multi-agent systems, integrating APIs and vector databases, and implementing testing, monitoring, privacy, and compliance controls.
Location: Pleasanton, California, United States; hybrid Flex Work with at least 50% of each quarter spent in the office or in the field
Annual base salary: $209,600–$314,400 USD for the primary location; additional US locations: $174,800–$314,400 USD. The role may also be eligible for a bonus or commission and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and intelligent agents.
What you will do
- Build, lead, and mentor a high-performing team of AI agent engineers.
- Drive timely delivery and technical excellence for production-grade AI agent solutions.
- Translate business requirements into technical solutions with product managers, data scientists, and stakeholders.
- Partner with architects and principal engineers to integrate AI agents with the platform.
- Evaluate and integrate LLMs, RAG patterns, and orchestration frameworks such as LangGraph.
- Establish testing, monitoring, feedback, privacy, security, compliance, scalability, and reliability practices.
Requirements
- 5+ years of professional software engineering leadership experience managing direct reports, with a focus on cloud-based systems and product-facing AI/ML applications.
- 10+ years of professional experience in software design and development for mission-critical, enterprise-scale systems.
- 2+ years directing teams focused on LLMs, generative AI application design, or advanced AI orchestration.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Deep understanding of LLMs, RAG, multi-agent frameworks, and vector databases, plus experience with API integration, token utilization, and system responsiveness.
- Strong communication, collaboration, problem-solving, hiring, and team-retention skills, with a commitment to secure and governed AI.
Nice to have
- Experience with the platform.
- Experience collaborating with external vendors and open-source communities.
Culture & Benefits
- Flexible scheduling that combines in-person collaboration with remote work.
- At least half of each quarter is spent in the office or in the field with customers, prospects, and partners.
- Bonus or role-specific commission/bonus eligibility and annual refresh stock grants may be available.
- Reasonable accommodations are available during the application process.
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