Top Artificial Intelligence Jobs

Leads public sector accounting advisory and internal audit engagements from planning through delivery. Manages teams, client relationships, budgets, resources, testing, timelines, and deliverables. Advises clients on governmental accounting, financial reporting, internal controls, federal grant compliance, risk management, and regulatory requirements. Translates audit findings into actionable recommendations, develops team members, and applies analytics and emerging AI technologies to improve audit quality and efficiency.

Drive adoption of Anthropic’s AI products among startups by owning the full sales cycle, developing strategic customer relationships, exceeding revenue quotas, identifying new market segments, negotiating complex agreements, and collaborating with product, marketing, and GTM teams. Gather customer feedback to influence product roadmaps, refine sales methodologies, and help startup customers deploy AI safely and effectively.

Build and operate production AI agents and agentic workflows for real customer processes. Responsibilities include integrating live data, creating evaluation and monitoring systems, developing human-review tooling, running shadow-mode tests, productizing customer-specific solutions, managing incidents, and improving reliability. The role is customer-embedded, forward-deployed, and focused on turning bespoke workflows into reusable services while helping establish the engineering standards for a growing team.

Drive enterprise IT services sales by developing territory and account plans, managing complex sales cycles, advising C-suite stakeholders, coordinating technical and delivery teams, cultivating technology alliances, exceeding revenue targets, forecasting pipelines, and leading strategic business reviews. The role focuses on multi-million-dollar enterprise engagements, digital transformation solutions, complex contract negotiations, and long-term client relationship growth.

Designs, refactors, tests, and deploys secure PowerShell automation frameworks for Navy Records Management modernization. Processes large datasets, optimizes analytics pipelines, develops dashboards and workflow tools, and improves script performance, scalability, and resilience. The role applies Pester testing, secure coding, role-based access controls, Agile delivery, and data science practices while collaborating with program managers, developers, and Navy stakeholders.

Develops product risk assessment frameworks and leads safety reviews for new AI features. Evaluates technical and nontechnical harms, misuse, unintended consequences, and harmful outputs; collaborates with product, engineering, legal, policy, and safeguards stakeholders to design mitigations. Creates bespoke evaluations, develops responsible AI policy recommendations, tracks emerging risks, prioritizes safety resources, and reports product policy risks and mitigations to senior leadership.

Own enterprise customer relationships across implementation, training, support, renewals, and expansion. Advise technical and non-technical stakeholders, translate objectives into measurable outcomes, identify growth opportunities, and drive retention. Create customer resources including guides and FAQs, relay feedback internally, advocate for customer needs, and help improve products and processes. The role is based in or requires relocation to Santa Barbara and involves in-person work.

Leads Lean transformation and continuous improvement across chemical manufacturing value streams. Coaches employees, facilitates kaizen events, implements Lean and Six Sigma methodologies, uses analytics and digitalization to identify performance gaps, and drives strategic improvement initiatives. Supports production, maintenance, laboratory, logistics, and materials operations while monitoring safety, cost, yield, quality, and production metrics. Develops employees, strengthens daily management, and prepares for future plant leadership through mobility across the company’s plant network.

Leads Precision Neuroscience’s brand and communications strategy, including PR, media relations, internal communications, executive messaging, content creation, agency management, and multimedia oversight. Partners with executive leadership and marketing to shape company positioning, translate complex BCI technology into accessible narratives, strengthen industry visibility, and grow the company’s social media and content presence.

Onboard orthodontic practices, customize workflows, and train clinicians and dental teams on DentalMonitoring’s AI-powered platform. Manage customer adoption, implementation support, escalated regional challenges, and customer relationships. Collaborate with sales, customer success, and marketing teams, attend local trade shows, influence technology adoption, and provide market insights. The role requires substantial travel across Ohio and Pennsylvania.

Lead the strategy, delivery, and adoption of enterprise-scale applied AI products. Translate business challenges into AI-enabled workflows, automation features, and decision-support tools; prioritize roadmaps and requirements; coordinate product, engineering, and data science teams; support LLM and agent-based solutions; measure adoption and efficiency; and ensure reliable deployment aligned with governance standards.

Develop mission planning, routing, and fault management algorithms for autonomous trucks. Interns will implement safety-critical robotics solutions, improve routing through construction zones, apply human operations commands, deploy code on real-world vehicles, and work with a production C++ codebase under mentorship from robotics engineers. The role provides hands-on experience with autonomous vehicle technology and potential full-time opportunities.

Leads FACTS Financial Aid development teams by coaching and developing staff, establishing quality and efficiency practices, supporting hiring and staffing plans, and improving team health. Oversees product and initiative delivery, communicates project and product status, collaborates with Product Owners and stakeholders, supports Agile software projects, and contributes to technical direction, strategic planning, and continuous improvement.

Provides systems engineering and technical assistance for DoD AI and machine learning test and evaluation programs. Evaluates model performance and robustness, advises on testing methodologies, supports investment strategies, and assesses emerging AI, autonomy, robotics, cloud, and machine learning technologies. The role requires hands-on machine learning algorithm development, knowledge of DoD acquisition and testing environments, and familiarity with major test ranges and related investment programs.

Manage onboarding, adoption, renewal, expansion, and strategic success planning for top-tier B2B customers. Partner with sales, product, marketing, and support to drive data and AI upskilling initiatives, demonstrate business value, develop customer champions, and support retention, upsell, and cross-sell. Advise enterprise clients on DataCamp’s platform and the broader data and AI technology landscape.

Develop production-grade AI-enabled platform capabilities, APIs, backend services, integrations, and reusable software enhancements. Build model integrations, prompt and retrieval workflows, extraction logic, and agent configurations while ensuring scalability, security, reliability, testing, observability, and maintainability. Collaborate with Product, Solution Engineering, Application Engineering, Platform Reliability, and Architecture teams to translate requirements into customer-facing platform solutions. Contribute to CI/CD, automated testing, deployment, documentation, and responsible AI practices.

Owns U.S. customer and commercial operations for a growing healthcare technology company. Responsibilities include forecasting camera demand, managing hardware logistics and servicing, overseeing customer contracts and data rights, building contracting workflows, managing legacy obligations, creating SOPs, and automating processes with AI tooling. The role is remote in the U.S. with occasional travel and requires operating independently in a startup environment.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

Lead end-to-end product for voice protection and conversational AI features serving consumers and telecom operator partners. Define product vision, prioritize roadmap, work closely with engineering and research on model training and prototyping, engage customers to validate needs, support commercial and legal partners, and drive product economics and successful launches.

Lead end-to-end strategic sourcing for AI spend, including foundation models, AI APIs, AI SaaS, and emerging neocloud/inference compute. Negotiate high-value vendor agreements, build pricing/consumption models, partner with Engineering and Finance on commercial decisions, drive AI automation in sourcing, track KPIs, and ensure compliant execution with Legal, Security, and Procurement Operations.

Lead technical discovery, design custom Cloudflare architectures, and deliver demos/PoCs. Own onboarding, adoption, and technical relationships across the customer lifecycle. Drive commercial expansion with quota responsibility, translate platform metrics into business outcomes, and advise stakeholders on security, networking, and cloud architecture best practices.

Lead architecture and technical strategy for GenAI and Amazon Connect implementations. Translate business requirements into scalable conversational AI solutions, design integrations across CRM/WFM/data layers, validate development outputs, support testing/UAT, and promote reuse, security, and performance across cloud-based GenAI and digital routing systems.

As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.

Design, implement, and optimize classical and deep-learning computer vision algorithms for ADAS. Tasks include object detection, segmentation, tracking, image enhancement, dataset analysis, model optimization for real-time embedded ECUs, bench testing, root-cause analysis, documentation, and cross-functional integration for serial automotive production.

The Senior Product Manager will oversee data architecture and search relevance for AI/ML native ads, prototype solutions, and collaborate across teams to optimize product strategy and performance metrics.