Top Artificial Intelligence Jobs

Owns the RMIS product roadmap, strategy, backlog, and Agile delivery. Partners with Engineering, stakeholders, marketing, and operations to define requirements, prioritize features, support Scrum execution, and ensure quality delivery. Uses data, analytics, experimentation, and AI-assisted techniques to identify opportunities, prototype solutions, guide decisions, and develop responsible AI-enabled features. Acts as the product subject matter expert and supports strategic planning, client responses, and product lifecycle activities.

Supports evaluation and development of electric transmission projects through opportunity research, preliminary project concepts, engineering analyses, transmission line design using PLS-CADD, technical documentation, cost estimates, risk assessments, and competitive proposals. Coordinates with internal specialists and external consultants, manages assigned work, verifies analysis quality, and applies approved AI tools while independently checking results.

Leads the architecture, development, deployment, and operation of enterprise AI Ops solutions, including RAG pipelines, agentic workflows, and AI-powered applications. Improves SRE practices, leads incident response, automates cloud infrastructure with Terraform and GitHub Actions, and ensures reliability, scalability, security, and responsible AI. Designs and operates software using Python and Node.js, manages Kubernetes environments, mentors engineers, and leads globally distributed technical teams.

The Applied AI & Analytics Associate will conduct high-impact analytical work across functions, utilizing AI and data to drive business decisions and improvements, while collaborating with senior stakeholders and building analytical tools and models.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

The Senior Staff AI Builder will lead multi-squad technical areas, enhance AI strategies, mentor builders, and address systemic issues in healthcare communications.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Lead enterprise AI/ML engineering for Medicare & Retirement, defining AI strategy, building scalable MLOps platforms, embedding GenAI and ML into products and operations, ensuring responsible AI and compliance, and delivering measurable business value through production-grade AI solutions and platform transformation.

Lead architecture, design, and delivery of Klaviyo's Customer Agent conversational AI platform. Drive technical strategy, build scalable AI-enabled features, establish observability and reliability practices, mentor engineers, and coordinate cross-functional initiatives to deliver production agentic systems for millions of users.

Lead architecture, design, and implementation of a scalable conversational AI platform (Customer Agent). Drive technical strategy for LLM-powered agentic systems, retrieval, orchestration, memory, evaluation, and reliability. Ship AI product features, establish observability/testing/operational best practices, lead cross-functional initiatives, mentor engineers, and evaluate emerging AI technologies to deliver reliable customer-facing experiences.

Design and implement algorithms for image processing and object tracking for spacecraft, integrating with flight software and conducting simulations.

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.

Develop ML and multimodal AI systems that integrate neurophysiological, behavioral, and sensor data for cognitive state estimation and decision support. Build algorithms and prototypes, apply cognitive science to improve explainability and human-AI collaboration, contribute to proposals/publications, and demonstrate capabilities for mission-driven R&D.

Design, build, and operate Zocdoc's internal developer platform, CI/CD pipelines, and developer tooling to improve developer productivity, safety, and reliability. Collaborate across teams to deliver platform investments end-to-end, drive adoption, advance AI-assisted development capabilities, mentor engineers, and ensure platform patterns meet security and compliance requirements.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

Leads federal sales of complex private cloud and IT solutions. Develops pipelines, expands strategic accounts, supports account managers, builds executive relationships, negotiates and closes opportunities, drives renewals, creates account strategies, forecasts through Salesforce, and engages partners. Requires expertise in consultative solution selling, federal customer environments, competitive offerings, infrastructure, architecture, and full hardware, software, and services portfolios.

Apply AI-enabled protein design and computational methods to solve novel biological and drug discovery problems for pharmaceutical partners. Serve as a scientific power user and advisor, translate partner findings into product and model improvements, and collaborate with industry scientists and internal AI research teams across antibody engineering, protein design, and therapeutic programs.

Serve as a strategic technology advisor and technical sales lead, conducting client discovery, workshops, and stakeholder interviews. Design and present secure hybrid and multi-cloud architectures spanning hosted, private, and public cloud environments. Collaborate with sales, product, and specialist teams throughout the sales cycle, including RFPs and handoffs. Develop security, networking, compliance, backup, and disaster recovery solutions while translating emerging cloud, AI, automation, and cybersecurity capabilities into measurable business outcomes.

Leads Capital One’s AI integration strategy for Experience Design, owning roadmaps for AI tooling, AI-enabled design processes, and talent upskilling. Partners with senior Product, Engineering, and Design leaders to drive experimentation, adoption, workforce transformation, and measurable business value. Elevates product, service, and content design practices through human-centered strategy, design systems, research, prototypes, executive influence, and player-coach leadership.

Own the end-to-end digital borrowing product roadmap, including lending, payments, notifications, and cross-sell experiences. Define product vision, strategy, and KPIs; lead platform initiatives, experimentation, go-to-market execution, vendor relationships, and executive presentations. Manage multiple product leaders, develop talent, coordinate geographically diverse cross-functional teams, and use analytics and AI to optimize customer and business outcomes.

Develops and maintains data-driven tools for Diplomatic Security risk and threat assessments. Collects, integrates, analyzes, and securely manages data throughout its lifecycle; builds hardware and software solutions; analyzes alarm and operational data; improves workflows and procedures; manages system configuration and releases; delivers executive briefings; and supports interagency coordination involving classified national security information.

The first BizOps hire will work directly with the founders on pricing, revenue modeling, activation analytics, sales operations, recruiting, growth, and other high-priority initiatives. Responsibilities include building AI agents for customers and internal use, tracking company metrics, managing operating cadence, turning analysis into recommendations, and driving unowned projects to completion. The role is fully in-office in San Francisco.