Top Artificial Intelligence Jobs

Leads Avenue5’s technology vision, enterprise systems strategy, platform roadmap, AI and emerging technology initiatives. Oversees five technology teams, develops senior leaders, manages budgets and supplier relationships, governs enterprise architecture, and evaluates build-versus-buy decisions. Translates technology capabilities into business value for clients, residents, and associates through presentations, case studies, and thought leadership. Requires extensive technology leadership, enterprise CRM governance, strategic planning, executive communication, and cross-functional collaboration. Travel is approximately 5%.

Leads day-to-day clinical trial operations across a multi-site research network, from study award and startup through recruitment, enrollment, conduct, and closeout. Oversees site performance, regulatory operations, project management, research systems, training, operational metrics, resource allocation, and team development. Builds scalable processes, strengthens accountability, resolves operational barriers, and provides leadership with visibility into portfolio performance, risks, staffing, and required interventions.

Own the full enterprise sales cycle, from prospecting and discovery through technical evaluation, security review, procurement, negotiation, and close. Build pipeline, close complex six-figure deals, expand existing accounts, and manage multi-stakeholder relationships. Partner with technical, research, post-sales, and leadership teams while helping establish qualification, forecasting, deal review, and enterprise sales processes.

Leads Tenable’s state and local government affairs strategy for SLED markets. Builds relationships with CIOs, CISOs, procurement officials, legislators, associations, and coalitions; manages lobbyists and consultants; tracks legislation and policy; supports sales and business development; ensures lobbying compliance; and advocates for cybersecurity and exposure management solutions. Requires extensive state and local government affairs experience, executive communication skills, and domestic travel.

Provide legal guidance on US and EU/UK data privacy, AI-related intellectual property, copyright, trademarks, data ownership, and cross-border transfers. Build privacy compliance programs, manage filings and inquiries, monitor evolving AI legislation and litigation, negotiate IP and data terms, partner with technical and business teams, manage outside counsel, and create practical legal guidance.

Leads product strategy and development for innovative annuity and retirement solutions serving RIA, wealth management, and self-directed investor markets. Responsibilities include financial product structuring, market validation, commercialization, business case development, and lifecycle execution from concept through launch. The role partners with investment, actuarial, risk, legal, operations, and distribution teams while influencing senior executives and applying data-driven and responsible AI-enabled approaches.

Own enterprise sales across new and existing accounts, leading consultative, ROI-driven sales cycles from discovery through close. Develop account plans, build executive relationships, collaborate with Solutions and Forward Deployed Engineers, forecast pipeline, maintain CRM discipline, lead business reviews, represent the company at industry events, and relay customer insights to shape the product roadmap.

Build and operate platform systems that improve the efficiency, reliability, and cost of PayPal’s large-scale Kubernetes environment. Develop production code in Go, Java, and Python; apply machine learning, data analysis, AI, and automation to infrastructure challenges; analyze system performance; collaborate with application and infrastructure teams; participate in operational ownership, root cause analysis, design reviews, and long-term reliability improvements.

Manages software development teams and enterprise application delivery from roadmap planning through execution. Provides hands-on technical leadership, coaches engineers, oversees Agile ceremonies, maintains software quality, manages resources and risks, and partners with Product and Engineering stakeholders. Requires extensive enterprise software delivery experience, cloud expertise, cybersecurity awareness, and proficiency with C#, .NET, Java, or Python. The role requires commuting to the New York City office two to three days weekly.

Leads a genomics data science and AI/ML team supporting RNA therapeutics and preclinical drug discovery. Responsibilities include setting computational strategy, mentoring PhD-level scientists, developing and evaluating machine learning methods, overseeing multimodal genomics analyses, ensuring reproducible cloud-based workflows, translating methods into scalable tools, and partnering with wet-lab and project teams. The role also drives process optimization, scientific collaboration, external partnerships, and portfolio decisions through rigorous computational insights.

Own Alterion’s AI agent security and governance product, including real-time detection, policy enforcement, risk scoring, audit, and enterprise controls. Partner with ML engineering to develop governance intelligence, conduct discovery with enterprise security and platform leaders, translate threat models into requirements, structure pilots, and shape the product category and narrative.

Leads workforce skills intelligence, future-skills planning, learning investment, career pathways, and technology career framework governance. Analyzes workforce and market data to identify skills gaps, guide build-buy-redeploy decisions, prioritize development initiatives, and advise senior leaders. Partners across workforce strategy, technology, data, and learning teams to evolve skills frameworks and improve workforce readiness.

Designs and implements AI and automation solutions for HR by translating business needs into technical requirements, user journeys, prototypes, test plans, and scalable experiences. Leads UAT, documentation, performance monitoring, troubleshooting, and continuous improvement while partnering with HR stakeholders, technology teams, architects, developers, data scientists, and vendors. The onsite Minneapolis role requires up to 10% travel and experience with enterprise AI, automation, or chatbot implementations.

Serves as the Group COO’s strategic execution partner, managing enterprise priorities across operations, technology, data, AI, transformation, architecture, and information security. Oversees portfolio governance, investment value realization, cross-functional execution, operating cadence, risk and resilience, and executive and Board decision support. Partners with Operations and Underwriting leadership to improve efficiency, scalability, automation, service quality, and underwriting capacity while driving accountability and measurable business outcomes.

Own the vision and roadmap for AI-powered investment operations products across post-trade workflows, including reconciliations, settlements, exception management, and data quality. Partner with Operations and Engineering to deliver production-grade machine learning and generative AI solutions, define requirements, manage agile product delivery, validate use cases with clients and users, and drive adoption and measurable business outcomes.

Own client enablement, onboarding, product support, release readiness, and customer-success efficiency initiatives. Lead platform orientations and report walkthroughs, create training and Help Center content, respond to product questions, triage bugs, review AI-generated support responses, and communicate product releases. The role partners closely with Product, Engineering, Sales, Research, and Customer Success while improving workflows and supporting clients in a fast-paced startup environment.

Own product strategy, roadmap, experimentation, and delivery for technical B2B software products. Translate customer needs into specifications, partner with engineers and machine learning experts, define agent behavior, prototype solutions, and prioritize work based on engineering effort, model quality, customer value, and commercial impact.

Leads Hazen’s enterprise AI strategy, roadmap, governance, adoption, and implementation across engineering and corporate functions. Builds and manages an AI team, prioritizes use cases, oversees enterprise platforms and custom AI solutions, establishes responsible-use standards, and partners with IT, cybersecurity, Legal, and business leaders. Drives training and change management while ensuring data security, professional accountability, and regulatory compliance.

Leads AI projects from discovery through implementation, evaluation, and maintenance. Builds secure, production-ready AI workflows integrated with organizational data, applications, APIs, repositories, cloud platforms, and business systems. Establishes standards for AI architecture, governance, monitoring, permissions, guardrails, and responsible use. Advises leadership on models, vendors, risks, and adoption strategies; supports users through technical guidance and training; and mentors junior software engineers.

Leads operational and customer-facing functions across lending and credit union services. Establishes performance standards, manages operational data, resolves escalations, improves workflows, implements automation, oversees vendors, and strengthens controls. Leads managers and distributed teams, manages budgets and workforce capacity, partners cross-functionally on technology initiatives, and ensures priorities translate into measurable, sustained execution.

Leads enterprise-wide credit risk management, including credit policy, underwriting standards, portfolio monitoring, risk modeling, CECL, fraud prevention, regulatory compliance, and third-party risk. Advises executive leadership and the Board, oversees credit analytics and lending governance, supports expansion into new financial products, and develops a high-performing credit risk organization while balancing prudent lending with financial inclusion.

Own a national corrections and state-funded port authority territory, generating pipeline and managing full-cycle enterprise sales from discovery through procurement, approval, and contract award. Build relationships with agency leadership, state IT, procurement, legislators, and channel partners. Forecast accurately, qualify opportunities using MEDDPICC, displace competitors, coordinate cross-functional teams, and support post-sale account growth. The role requires daily use of AI tools, public-sector sales expertise, strong integrity, and at least 50% travel.

Own a high-volume Eastern U.S. public safety sales territory focused on small-city agencies. Generate pipeline, run full-cycle quota-carrying deals, conduct discovery and demonstrations, manage procurement and approval, negotiate with stakeholders, and close contracts. Sell with channel partners and cross-functional teams, maintain accurate forecasts, use AI tools for research and pipeline analysis, and transition awarded accounts to Mission Success. Travel at least 50% and identify promising opportunities for larger account teams.

Field-based Medical Science Liaison supporting commercial and educational objectives for oncology assays and genomic technologies. Educates healthcare providers and internal stakeholders, engages oncology key opinion leaders, presents scientific data, attends conferences, summarizes research, and shares market intelligence. Requires oncology and molecular testing knowledge, strong communication skills, existing oncology KOL relationships, an advanced scientific or medical degree, and travel up to 50%.

Own a meaningful product surface end-to-end, from customer discovery and strategy through delivery, adoption, and measurable business impact. Lead AI-native product decisions involving evaluations, hallucination management, latency, cost, and failure modes. Partner with engineering, research, GTM, and executive leadership to shape roadmaps, improve execution, influence company-level bets, and deliver 0-to-1 products for enterprise customers.