Artificial Intelligence Jobs in Sunnyvale, CA

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.

Leads strategic advisory and analytics initiatives for banking and capital markets clients. Designs and configures Fenergo solutions, translates business and regulatory requirements, develops data visualization and analytics solutions, and guides teams through complex projects. Builds stakeholder relationships, validates outcomes, promotes process improvement, and coaches diverse teams. Requires at least seven years of experience and a bachelor's degree.

Own IT internal audit projects and portions of the SOX program, including ITGC and ITAC testing, risk assessment, controls evaluation, remediation, and audit reporting. Partner with audit, finance, engineering, process owners, external auditors, and co-sourcing partners. Help establish an AI audit methodology and implement AI-enabled audit efficiencies while maintaining quality, independence, and reliability.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Build and scale reliable agentic AI systems, including orchestration, code execution, agent memory, LLM self-improvement, simulations, knowledge graphs, and multimodal interfaces. Implement AI algorithms, productionize them, optimize performance, write robust code, contribute to technical roadmaps, collaborate across engineering and product teams, and mentor engineers. The role requires strong production-systems experience, technical communication, operational excellence, and programming in Python, Golang, and/or Java.

Leads enterprise cloud FinOps across AWS, Azure, GCP, private infrastructure, and AI services. Develops governance, cost allocation, rate optimization, commitment strategies, savings pipelines, unit-economic models, forecasting, and executive reporting. Partners with Engineering, Finance, Product, Procurement, and cloud providers to improve infrastructure efficiency and gross margin. Helps shape AI-powered FinOps tooling, including anomaly detection, forecasting, optimization recommendations, and natural-language cost analysis. Mentors practitioners and advises senior stakeholders.

Develop AI-enabled software solutions for internal digital transformation initiatives. Design, code, test, debug, and support scalable applications using modern engineering practices. Apply machine learning tools, automate workflows, analyze data, contribute to APIs, microservices, and cloud-native architecture, and translate business requirements into technical designs. Review junior team members’ work, provide technical guidance, and collaborate with internal stakeholders to deliver reliable enterprise applications.

Design and implement AI-native security features and frameworks, write high-quality Java and JavaScript code, and guide application teams on secure implementations and AI usage. The role involves architecture, performance, scalability, maintainability, technical communication, and collaboration with design and platform teams. The engineer will mentor software engineers, influence security standards, and deliver robust security capabilities on aggressive deadlines.

Lead product development for an enterprise agentic AI platform and ServiceNow catalog interpreter from concept through launch. Define product specifications, technologies, developer interfaces, user experiences, success metrics, and roadmap priorities. Partner with engineering, machine learning, design, customer success, and deployment teams; analyze product usage data; support developer ecosystems and hackathons; and build relationships with enterprise CIOs and IT leaders.

Own the Tool Studio product area for an agentic AI platform, driving development from concept through launch. Define product strategy, specifications, success metrics, developer interfaces, and end-user experiences. Partner with engineering, machine learning, design, deployment, and customers to prioritize roadmaps, improve integrations, support adoption, and build the developer ecosystem. Use product usage data, market research, and customer feedback to guide decisions while building trusted relationships with enterprise technology leaders.

Build and manage AI technology alliances and go-to-market partnerships in cybersecurity. Responsibilities include researching and sourcing partners, managing relationships and integration roadmaps, coordinating onboarding, supporting partnership agreements, tracking pipeline and KPIs, enabling co-selling, and coordinating joint marketing activities. The role collaborates with Product, Engineering, Legal, Marketing, and Sales to grow partnerships and generate measurable pipeline and revenue impact.

Leads a cross-functional team developing behavior evaluation, human benchmarking, and behavioral inference capabilities for autonomous vehicles. Designs and deploys production ML models, establishes technical roadmaps, and integrates behavior critics into simulation-based validation, release decisions, and performance monitoring. Partners with autonomy, simulation, safety, and product teams to assess driving behavior against human expectations for safety, comfort, and intuitiveness.

Leads and mentors an SDET team while remaining hands-on with test frameworks, automation, tooling, debugging, and code reviews. Owns functional, performance, contract, and chaos testing strategy for large-scale distributed AI security services. Establishes CI/CD quality gates, improves observability and resilience, partners with engineering and product teams, manages planning and delivery, and recruits and develops engineering talent. The role also uses AI-powered tools to improve testing efficiency.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Design, develop, and operate scalable Voice AI platforms, including audio acquisition, conversation management, speech generation, model integrations, and voice harnesses. Build distributed systems across regions and datacenters, develop LLM-based applications and agents, improve SRE tooling, enforce software engineering practices, collaborate with customers and product managers, and mentor engineering colleagues.

Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build audio acquisition, conversation management, speech generation, model integrations, and voice harness capabilities. Partner with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineering colleagues. The role requires extensive experience with LLM applications, AI agents, programming, Kubernetes, and highly available workloads.

Leads customer-facing design, deployment, and operation of agentic AI solutions on the ServiceNow platform. Defines reusable architectures, integration patterns, guardrails, verification, monitoring, and rollback practices. Advises customer technical and executive stakeholders, mentors engineers, sets technical standards across engagements, and feeds field insights into product and engineering. Requires extensive forward-deployed or solution-architecture experience, production AI expertise, strong system design, security and reliability judgment, communication skills, and technical leadership.

Leads internal audit and SOX engagements, manages client relationships, develops audit methodologies, evaluates financial statements and internal controls, conducts risk assessments, and oversees audit reporting. The role includes project ownership, budgeting, stakeholder management, team leadership, mentoring, process improvement, and use of AI and risk technology to enhance audit effectiveness and address compliance and governance risks.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Leads IT audit engagements assessing digital environments, processes, controls, cybersecurity, data integrity, and AI systems. Manages client relationships, audit teams, project delivery, compliance challenges, data quality validation, governance improvements, and risk management. The role also involves mentoring staff, applying IT governance frameworks, promoting innovative audit technologies, and ensuring assurance standards are met.

Provides client-focused tax consulting services, including global tax strategy, compliance, consolidated tax returns, income tax provisions, corporate planning, transaction support, post-deal integration, tax modeling, and purchase and sale agreement analysis. The associate researches tax matters, supports senior staff, collaborates across teams, and develops technical, client service, and consulting skills while pursuing or completing a Juris Doctor degree and preparing for the Bar exam.

Design, build, and scale AI-enabled workflow and automation solutions across collaboration platforms and enterprise systems. Translate manual processes into secure, reusable, event-driven automations using Python/JavaScript, integrate AI capabilities like Gemini, implement logging and telemetry, and partner with product, security, and business teams to deploy and sustain enterprise transformation solutions.

Build and operate highly available, cloud-native Voice AI systems, including deployments, observability, monitoring, disaster recovery, and continuous integration. Develop scalable software, integrate LLMs with voice and real-time communication platforms, automate testing and delivery, and collaborate with product owners. Mentor colleagues and promote knowledge sharing across telecommunications and AI engineering disciplines.