Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads Microsoft Entra ID identity and access management workstreams, including identity governance, privileged access, authentication, role-based access control, and lifecycle management. Manages client engagements, delivery plans, technical documentation, access policies, integrations, and security alignment. Coaches teams, reviews IAM designs and deliverables, resolves escalations, and identifies improvements to access administration and service delivery.

Supports strategy and business transformation consulting projects through research, data gathering, market and competitive analysis, information synthesis, and preparation of client-ready presentations. The intern coordinates assigned tasks, tracks deadlines, participates in team discussions, applies AI and digital tools, and develops strategic insights while learning consulting methods and gaining exposure to client work.

Supports AI governance projects by assessing risks and controls, documenting processes, gathering requirements, analyzing information, and synthesizing findings. Advises clients on regulatory compliance, risk management, internal controls, and governance improvements. The role involves applying AI/ML governance frameworks such as NIST and ISO, translating technical concepts for stakeholders, collaborating with diverse teams, and developing expertise in corporate governance and risk management.

Leads cloud security advisory engagements across IaaS, PaaS, and SaaS environments. Develops security strategies, architectures, controls, monitoring, and incident response processes; directs risk assessments and vulnerability testing; advises executive clients; drives business development and thought leadership; and mentors security leaders and teams.

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads cloud security engagements across IaaS, PaaS, and SaaS environments. Designs security architecture and controls, conducts risk assessments and vulnerability testing, manages monitoring and incident response, tracks remediation, and develops technical deliverables. The manager coaches team members, oversees project quality and timelines, addresses stakeholder issues, and identifies opportunities to improve cloud security through automation and emerging technologies.

Leads corporate deals technology workstreams focused on IT cost and value management. Manages client engagements, analyzes technology spending, develops budgets and forecasts, identifies cost-saving opportunities, and translates findings into recommendations. Coaches teams, manages stakeholders, evaluates technology solutions, and uses digital tools and AI to improve analysis, reporting, and scenario planning.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.