Staff Machine Learning Engineer, Responsible AI Engineering Visa Technology and Operations LLC
Foster City, CA7 days ago
- $169,100–$270,800 Per Year
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Skills
- Amazon Web Services (AWS)unmatched
- Architectural Libraryunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Budgetingunmatched
- Cross-Functionalunmatched
- Data Managementunmatched
- Ecosystemsunmatched
- Fortune 500 Customersunmatched
- GCP (Good Clinical Practices)unmatched
- GPU (Graphics Processing Unit)unmatched
- Integrated Circuits (ICs)unmatched
- Leadershipunmatched
- Machine Toolunmatched
- PCI Express (PCI-E)unmatched
- Patentsunmatched
- Prototypingunmatched
- Research & Development (R&D)unmatched
- Software Architectureunmatched
- Software as a Service (SaaS)unmatched
- Startupunmatched
- System Architectureunmatched
- Team Lead/Managerunmatched
- Thought Leadershipunmatched
- Writing Skillsunmatched
Description
Role: Senior Manager, AI Engineering & Product
Location: San Jose, CA (Hybrid)
Duration: 3+ months
Overview:
Must Have: Applied AI, LLM Systems & Inference Optimization, AI Agents & Agentic Frameworks, Distributed AI Infrastructure, AI Platform Architecture, Engineering & People Leadership
Key Responsibilities:
Required Qualifications:
Nice to Have:
Location: San Jose, CA (Hybrid)
Duration: 3+ months
Overview:
- Senior hybrid IC and people leadership role bridging AI systems architecture, agentic AI, and cross-functional product execution
- Operating level: IC10 / L7 or equivalent (Client, Google, Amazon, or high-growth AI startup calibre)
- Expected to own roadmap, stakeholder alignment, and end-to-end delivery independently
Must Have: Applied AI, LLM Systems & Inference Optimization, AI Agents & Agentic Frameworks, Distributed AI Infrastructure, AI Platform Architecture, Engineering & People Leadership
Key Responsibilities:
- Build and scale AI deployment platforms focused on inference speed, latency reduction, and model acceleration
- Architect Client software libraries and tooling to push LLM inference and training optimization
- Design and lead multi-agent engineering systems including orchestration, parallelism, and tool usage
- Prototype and incubate R&D innovations with potential patent value
- Drive cross-functional alignment and secure R&D budget from senior leadership
- Lead engineering teams with full autonomy across roadmap, staffing, and delivery
Required Qualifications:
- 15+ years in engineering, with 8 to 9 years in applied AI
- Group Manager or Director level experience at a large tech company or high-growth AI startup
- Deep hands-on expertise in LLM systems: transformers, inference optimization, quantization, KV cache, distributed training (PyTorch FSDP, PEFT/LoRA)
- Production-grade experience with AI Agents and agentic frameworks (Claude Code, Agent SDK, or equivalent)
- Infrastructure at scale: Kubernetes, Kafka, Spark, multi-tenant SaaS, AWS, GCP
- Proven record of building AI platforms from zero to enterprise production (F500 clients preferred)
- Experience with vector databases, synthetic data pipelines, RAG, Chain of Thought
Nice to Have:
- Published author or recognized thought leader in AI/ML
- Startup founding or enterprise incubation experience
- GPU hardware ecosystem familiarity: CXL, NVMe, PCIe-level AI optimization
- Stanford GSB or equivalent advanced education
Numbers & Facts
| Location | San Jose, CA |
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