Top Artificial Intelligence Jobs

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Own the operating framework for insurance claims across multiple business lines, including processes, performance metrics, product feedback, feature adoption, and client operations. The role partners closely with claims, product, and clients to scale processes, improve efficiency, and enhance customer outcomes. Candidates may be hired at junior, mid, or senior levels.

Lead treasury, banking, cash flow, capital markets, and investment oversight; manage two staff; drive long-term financial planning, cash forecasting, and scenario analysis; ensure controls and compliance; oversee bond financing and investment partner relationships; prepare Board and audit materials; advise senior leadership and implement process and technology improvements.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Founding TPM & systems-integrity lead who designs and owns AI-native execution and validation. Orchestrates teams, defines KPIs, translates system gaps into tickets, and builds agent-driven QA to simulate multi-user flows, reproduce issues, validate fixes, and automate correctness at scale.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Build and optimize AI-powered tools, agentic workflows, automations, and integrations across company functions. Identify repetitive work, collaborate with team leads, maintain internal systems, evaluate emerging AI platforms, document solutions, train users, and measure impact through time savings, error reduction, and eliminated manual work.

Perform advanced data science and machine learning on large NSA/CSS datasets. Design, implement, and validate analytic models, manage and curate data, extract actionable insights, and communicate technical conclusions to non-technical stakeholders. Translate mission needs into technical requirements while staying aware of collection and processing constraints.

Develop and apply statistical and machine-learning methods to large, messy NSA/CSS datasets. Design, implement, and evaluate analytic models; perform data cleaning, management, visualization, and inference; translate mission needs into technical requirements and communicate findings to non-technical stakeholders.

Supervise and mentor consumer credit underwriters for a $2B portfolio; ensure regulatory compliance and portfolio performance; analyze reports and AI/data-driven underwriting results; manage staffing, scheduling, and CMS call tracking; design training, policy updates, and process improvements; review complex loans and escalations; support system implementations and reporting.

Plan and perform technology audits of controls supporting Compliance, Anti-Financial Crime, eDiscovery, and Archiving. Assess design and effectiveness of IT controls, document processes, identify and track findings, validate closures, and collaborate with business and global teams to deliver timely, high-quality audit work and regulatory-aligned risk assessments.

Lead WECC's external engagement, communications, branding, and stakeholder relations across the Western Interconnection. Develop measurable outreach strategies using AI, digital and multimedia tools; serve as spokesperson; build partnerships with regulators, policymakers, and industry; translate technical analyses for decision-makers; and lead, coach, and align a hybrid team to advance WECC's reliability and security mission.

Lead design and implementation of post-training alignment pipelines (SFT, RLHF, RLAIF) using proprietary medical data. Improve model calibration, safety, and clinical correctness via novel techniques, distributed training on GPU clusters, and rigorous evaluation frameworks. Collaborate with co-founders to define research roadmap and ship production-ready ML systems.

Serve as a strategic technical partner for key customers: design and advise on cloud architectures, run technical workshops, proactively monitor usage, resolve escalations with engineering, drive retention and expansion, and develop tools and documentation to improve Technical Account Management efficiency.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead product for AI Corps: define roadmap, metrics, and platform powering fellow recruitment, matching, deployment, and enterprise L&D. Partner with Earned Revenue, Curriculum, Engineering, and Anthropic to run discovery, experiments, and ship high-quality experiences that scale to enterprise customers.

Design, develop, and deploy agentic AI workflows and LLM-based automations for clinical and business use. Build scalable RAG solutions, vector DB integrations, and production-grade Python services. Implement AI orchestration frameworks, ensure MLOps/LLMOps, monitor observability, and collaborate with product, clinical, security, and engineering teams to deliver secure, compliant healthcare AI capabilities.

Lead AI/ML-focused information security for enterprise agentic capabilities. Advise projects and CSOC teams on threat mitigation, compliance, automation, monitoring, and incident response. Partner with engineering and stakeholders to secure cloud, generative AI, and customer servicing platforms while driving data-driven decisions and continuous improvements.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

Lead AI Engineer responsible for creating and deploying AI solutions, collaborating with cross-functional teams to innovate AI-powered banking products, and driving the technical vision for foundational AI systems.

Design, build, and operate scalable, secure multi-cloud infrastructure and AI-focused platforms. Lead IaC automation (Terraform/Ansible/CloudFormation), enable MLOps workflows for model training and inference, apply AI-assisted engineering to reduce toil, drive platform strategy, deliver large-scale projects, and mentor engineers.

Lead Grow's AI Enablement team to define and execute the company-wide AI roadmap. Build and operate core AI infrastructure (data pipelines, embeddings, retrieval, model access, connectors, and governance) with PHI compliance. Architect integrations and APIs enabling agentic workflows, drive delivery of high-priority LLM and AI-assisted care use cases, and manage vendor governance, procurement, and cross-functional alignment.

Lead product strategy and lifecycle for Physical IP and CPU products targeting Edge AI. Define roadmaps, translate market and customer insights into engineering requirements, drive competitive positioning, and engage Tier 1 customers to secure design wins. Collaborate cross-functionally with engineering, sales, marketing, and executives to influence CPU roadmap, deliver commercial cases, and ensure customer success.