Top Artificial Intelligence Jobs

Supports Mayo Clinic business development through partnership sourcing, technology evaluation, commercialization, licensing, investments, market analysis, due diligence, and project coordination. The role focuses on biopharmaceutical and diagnostic technology development, collaborating with physicians, researchers, investors, entrepreneurs, and internal stakeholders. Responsibilities may include intellectual property strategy, patent development, financial modeling, valuation, negotiations, commercialization planning, and post-deal governance. This is a hybrid role located within 100 miles of Mayo Clinic Rochester.

Develop and maintain fraud detection models using statistical analysis, artificial intelligence, machine learning, and deep learning. Analyze structured and unstructured data, evaluate model performance, conduct segmentation and predictive modeling, and create reports for senior executives. Collaborate with internal stakeholders to refine models and support fraud strategy initiatives across payment systems.

Leads product vision, strategy, governance, roadmaps, backlogs, and delivery for shared commercial platforms. Partners with business, engineering, architecture, operations, and AI teams to align investments with organizational priorities. Establishes stakeholder governance, prioritizes modernization and AI initiatives, and drives measurable outcomes. Manages Product Owners while supporting client solutioning, innovation workshops, and strategic pursuits.

Leads federal acquisition planning and contracting advisory support for enterprise IT, cybersecurity, AI, cloud, and mission modernization initiatives. Develops acquisition strategies, requirements packages, market research, procurement documentation, and executive briefings. Analyzes contracting pathways, funding, timelines, risks, vendor lock-in, data rights, interoperability, and sustainment. Coordinates with contracting, legal, financial, technical, and program stakeholders while supporting government acquisition officials and preserving inherently governmental authorities.

Leads enterprise data analytics, AI, and machine learning initiatives supporting government mission operations. Evaluates data environments, develops analytical frameworks and executive dashboards, advances data governance and interoperability, assesses emerging technologies, and establishes criteria for AI pilots. Translates complex findings into executive recommendations while coordinating data requirements, validating outputs, identifying modernization risks, and supporting senior government decision-making.

Design, build, deploy, and operate production AI agents and multi-agent systems for insurance workflows. Responsibilities include agent orchestration, APIs, RAG pipelines, evaluation frameworks, regression testing, observability, production troubleshooting, and reliability improvements. The role requires hands-on Python software engineering, LLM application development, cloud infrastructure, and collaboration in end-to-end product pods.

Leads the technical vision, research strategy, engineering execution, and organizational growth of a global computer vision platform. Oversees research and engineering teams, defines architecture and roadmaps, manages end-to-end MLOps across edge and cloud environments, establishes performance metrics, drives innovation, and mitigates technical risks. The role requires deep computer vision and machine learning expertise, executive-level technical leadership, large-scale organizational management, and experience deploying enterprise platforms in production.

Own the theater tier roadmap for Navigator, an AI-enabled logistics decision-support product. Lead discovery with COCOM and MAJCOM logistics planners, translate mission needs into product strategy, prioritize capabilities, and manage execution from problem definition through adoption. Partner with engineering, design, leadership, program offices, and defense customers to deliver fielded software that improves theater sustainment decisions. Apply knowledge of Department of War organization, procurement, planning, and operational environments.

Lead agile design and development projects for mobile apps and digital products. Coordinate product, design, engineering, marketing, leadership, and client stakeholders; manage project plans, scope, requirements, backlogs, acceptance criteria, deadlines, workflows, and deliverables. Support scoping and client relationship management while ensuring successful end-to-end software launches and alignment with business objectives.

Develop the strategic direction for Capital One’s AI and machine learning platforms. Identify customer and business outcomes, define reusable platform capabilities, build strategy materials, solve cross-functional business problems, and support continuous delivery and improvement of AIML products. The role requires quantitative and qualitative analysis, stakeholder influence, senior leadership communication, people management, and project management.

Leads technology projects and developers building cloud-based, full-stack risk management solutions. Designs distributed microservices, APIs, and reusable frameworks; establishes engineering standards; partners with product managers and architects; mentors engineers; evaluates emerging technologies and AI tools; and improves system performance, observability, and technical debt across Agile teams.

Design, deploy, and scale responsible AI and machine learning solutions supporting healthcare provider experiences. Lead AI initiatives, provide technical direction to AI engineers, evaluate emerging technologies, and partner with product, data, and business teams. Ensure models meet enterprise standards for performance, security, governance, and scalability while contributing to cloud modernization. The role emphasizes generative AI, LLMs, conversational AI, API development, cloud hosting, and production operations.

Own the quality and completeness of Exa’s evaluation data for search models. Define evaluation metrics and success criteria, build localized feedback signals, acquire and manage external data vendors, and collaborate with ML researchers, data engineers, infrastructure engineers, product, and GTM teams to improve search model performance.

Conduct cyber threat intelligence research and analysis supporting DoD and intelligence community missions. Monitor cyberspace operations, assess APT groups, malware, vulnerabilities, adversary capabilities, and cyber warfare tactics. Evaluate large datasets, develop threat profiles, maintain analytic procedures, and produce reports, briefings, and recommendations for senior government officials. Use intelligence and OSINT tools, MITRE ATT&CK, advanced analytics, and AI. Mentor junior analysts and represent teams in interagency and technical forums.

Provides expert technical leadership for complex systems engineering and commercial GEOINT capabilities supporting national and allied missions. Leads requirements development, architecture traceability, systems integration, technical planning, trade studies, risk management, and capability development across cloud, on-premises, and hybrid environments. Mentors engineering teams and advises government stakeholders while integrating major acquisitions and translating mission needs into engineering solutions.

Manages a geographic territory to drive adoption, usage, and growth of Heartflow’s cardiovascular diagnostic technology. Builds relationships with cardiologists, primary care physicians, hospital stakeholders, and referring practices; develops account plans; educates customers; coordinates cross-functional resources; organizes clinical programs and events; and meets account quotas and usage targets. The role requires strong sales, clinical communication, account development, project coordination, and customer relationship skills, with 20–25% travel from a home office.

Territory Account Manager responsible for growing adoption of Heartflow’s cardiovascular diagnostic technologies across assigned healthcare accounts. Develops account plans, builds relationships with cardiologists and referring physicians, educates clinical stakeholders, coordinates cross-functional resources, organizes educational programs, and drives usage, referrals, quota attainment, and customer success. The role is customer-facing, home-office based, and requires approximately 20–25% travel.

Lead technical onboarding and enablement for contact center partners, architecting scalable Zendesk, Amazon Connect, and AWS solutions. Provide co-selling support, technical strategy, solution design, demonstrations, proof-of-concepts, training, documentation, governance, and mentorship. Collaborate with partners, sales, engineering, and vendors to drive successful implementations, security compliance, innovation, and adoption of AI, automation, and omnichannel contact center technologies.

Lead a regional team selling autonomous drone solutions to small public safety agencies. Recruit, coach, and retain quota-carrying sellers; manage pipeline, forecasting, territory, quota, channel partnerships, and competitive pursuits. Use funnel metrics to improve performance, develop repeatable sales processes, promote AI-enabled workflows, and represent customer and market insights internally. The role requires executive engagement, SLED sales expertise, frequent travel, and leadership in a high-volume environment.

Build and scale AI-driven analytics and decision-support products for Finance. Responsibilities include prototyping LLM agents, multi-agent workflows, RAG, forecasting, evaluation harnesses, guardrails, data architectures, semantic layers, observability, and data governance. The role also owns AI and data roadmaps, experimentation frameworks, and business-impact measurement while partnering with Finance, engineering, and platform teams.

Participate in a rotational IT leadership program involving enterprise IT and applied AI. Analyze business processes, define requirements, support technology solution development, and assist with implementation, testing, documentation, training, and continuous improvement. Collaborate with business stakeholders and IT teams to apply AI, automation, analytics, and digital technologies. Candidates must be recent graduates with a relevant bachelor’s degree, IT internship experience, strong communication skills, and willingness to relocate and rotate assignments.

Own the end-to-end product strategy and lifecycle for AI research products, from model development and user research through launch, pricing, and go-to-market. Partner with research, engineering, design, and business teams to define requirements, ship products, analyze metrics, run experiments, and prioritize features. The role requires strong technical or quantitative foundations, product management experience, SQL and Python fluency, knowledge of machine learning, and experience taking products from zero to one.

Owns Addepar portfolio management capabilities for complex client relationships. Responsibilities include architecting portfolio structures, reporting, dashboards, analytics, workflows, and data controls; maintaining data integrity; overseeing quality assurance for investment activity; and developing scalable procedures for family-office portfolios. The role requires deep Addepar expertise, investment and portfolio operations knowledge, and familiarity with public and private investments, valuations, commitments, capital activity, IRR, and TWR.

The Chief Technology Officer will define and execute the company’s technology and innovation strategy, leading digital transformation, applied AI, automation, enterprise architecture, and technology adoption. The role evaluates emerging technologies, governs standards, manages strategic vendors and pilots, and improves AEC workflows involving Autodesk, Bentley, BIM, data, and digital delivery. The CTO partners with executives, project managers, and discipline leaders to translate technology into measurable business value while supporting responsible AI use and organizational technology literacy.

Builds data ingestion, integration, transformation, modeling, and quality frameworks for DHS financial management programs. The role uses SQL, Python, R, PySpark, and Databricks to analyze large datasets, develop predictive and machine learning models, support data governance, and generate decision-making insights. Responsibilities also include client meetings, documentation, presentations, client service, and business development support.