Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.
Key Responsibilities Technical Leadership
- Lead the architecture and development of AI/ML and Generative AI solutions.
- Define best practices for AI system design, model integration, and deployment.
- Provide technical leadership and mentorship to AI/ML engineers and developers.
- Drive adoption of AI frameworks, tools, and development standards.
AI/ML Architecture
- Design scalable architectures for ML pipelines, GenAI applications, and AI platforms.
- Build systems leveraging LLMs, RAG architectures, vector databases, and agent-based AI workflows.
- Define patterns for AI APIs, model orchestration, and enterprise AI integration.
- Ensure solutions meet requirements for security, scalability, and reliability.
Development Management
- Lead development teams through Agile development cycles.
- Manage technical delivery, code quality, and architecture reviews.
- Collaborate with product managers and stakeholders to translate business needs into AI solutions.
AI Platform & MLOps
- Oversee implementation of MLOps practices for model lifecycle management.
- Implement CI/CD pipelines for AI models and GenAI applications.
- Ensure robust AI observability, monitoring, and governance.
Innovation & Strategy
- Evaluate emerging AI/ML technologies and GenAI platforms.
- Drive innovation through proof-of-concepts and pilot AI solutions.
- Contribute to enterprise AI strategy and roadmap development.
-
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead AI FinOps governance to track and optimize AI spend across multi-cloud providers. Build KPI frameworks, anomaly detection, guardrails, and cost-reduction programs. Coordinate engineering, finance, and cloud vendors, deliver VP-level reporting, and operate as an independent program owner driving measurable savings and contractual correctness.
Top Skills:
AnthropicAWSAws BedrockAws BudgetsAzureAzure Cost ManagementAzure OpenaiBilling ApisGCPGcp Billing ControlsGcp Vertex AiGenai GatewayLlm Proxy PlatformsOpenaiPythonSQLToken Metering
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead federal customer relationships to drive product value, adoption, and growth. Onboard and advise executive sponsors, translate business needs into product solutions, iterate onboarding strategy, gather customer feedback, and collaborate cross-functionally to meet transformational goals.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Provide day-to-day technical support for an AI Assistant platform built on ServiceNow: troubleshoot AI responses, agentic workflows, and API integrations; analyze logs/telemetry (Kibana, Grafana); reproduce and document bugs; perform configuration changes; triage and escalate issues; maintain SLAs and contribute to knowledge bases.
Top Skills:
GitGoogle WorkspaceGrafanaJSONKibanaMicrosoft Active DirectoryOktaPythonRest ApisServicenowWorkdayXMLYaml
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

