Top Artificial Intelligence Jobs

Leads the design, development, deployment, and support of enterprise applications enhanced with AI and machine learning. Establishes MLOps, CI/CD, testing, monitoring, governance, and reusable engineering practices. Partners with product, data, architecture, and business teams to deliver scalable digital products, improve engineering quality and performance, ensure cybersecurity and responsible AI compliance, evaluate emerging technologies, and mentor engineers.

Leads North American business technology partnerships for commercial sales and marketing functions. Translates business strategy into prioritized technology initiatives, oversees portfolio and demand planning, manages budgets and forecasts, and drives solution delivery, adoption, governance, and measurable business outcomes. Builds relationships across business and IT stakeholders, supports commercial platforms including CRM, eCommerce, marketing technology, analytics, and AI, and coordinates teams, vendors, and global partners in a matrixed environment.

Own strategic partnerships and revenue growth for large enterprise accounts. Responsibilities include executive relationship management, renewals, pricing and contract negotiations, quota-carrying retention and expansion, account planning, forecasting, business reviews, upselling, cross-selling, and monitoring account health. The role partners with Client Success, Sales, Marketing, and Product teams and uses AI tools to improve forecasting and renewal preparation.

Serve as the technical backbone of the pre-sales process by partnering with Account Executives, answering technical prospect questions, running proof-of-concept evaluations, troubleshooting issues, and relaying requirements to Engineering and Product teams. Manage evaluation timelines, support prospect success, improve customer-facing tools and processes, and communicate effectively with technical and security buyers in a fast-paced cybersecurity startup.

Leads the Business Execution Engineering department for Northrop Grumman’s Strategic Intelligence and Data Exploitation organization. Manages approximately 30 technical leaders while supporting program execution and captures in a dual program and functional leadership role. Responsibilities include talent development, staffing, engineering execution, technical baselines, cost and schedule management, metrics, budgets, process improvement, resource allocation, and issue resolution. The role is onsite in McClellan, California, or Chantilly, Virginia, with travel up to 25%.

Leads the Business Execution Engineering organization supporting cyber, intelligence, and cryptographic programs. Manages approximately 30 technical leaders while splitting responsibilities between program or capture execution and functional engineering leadership. Oversees talent development, staffing, technical baselines, cost and schedule management, metrics, budgets, process improvement, workload forecasting, and issue resolution. Requires collaboration across engineering and business organizations, leadership of distributed teams, onsite work, and travel up to 25%.

Leads strategic transaction management and execution for complex corporate real estate portfolios. Develops market optimization plans, negotiates transactions, advises clients, manages brokerage and cross-functional teams, oversees reporting and financial analysis, drives process improvements and AI-enabled workflows, and mentors transaction management staff.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Lead architecture, design, development, deployment, and operational support for scalable cloud security applications. Define technical requirements and specifications, oversee code quality, troubleshoot complex stability and scalability issues, evaluate technologies, conduct reviews, communicate solutions to leadership, and mentor engineers. The role also involves developing AI-enabled and agentic systems, distributed services, data platforms, and security capabilities across multiple teams.

The Chief Operating Officer oversees operations across patient services, clinical departments, and quality assurance for a multi-site eye care practice. Responsibilities include strategic planning, process improvement, staff leadership, patient experience, regulatory compliance, financial management, facilities and vendor oversight, technology adoption, and risk management. The COO develops policies, monitors performance metrics, manages budgets, supports employee engagement, and ensures efficient, compliant, high-quality care delivery.

Leads a customer-facing MSP organization supporting multiple external clients. Oversees service delivery, technical operations, customer satisfaction, staffing, performance metrics, escalations, budgeting, profitability, and team development. Establishes scalable processes, drives automation and standardization, partners with Sales and executive leadership, and develops technology roadmaps involving AI and emerging solutions. Requires substantial MSP leadership experience, including managing technical service-delivery teams and customer escalations.

Leads wealth management growth within strategic banking accounts by developing executive relationships, identifying opportunities, expanding client footprint, and shaping consulting and transformation solutions involving data, analytics, AI, and operations. The role requires a strong Wealth Management network, consultative selling expertise, executive presence, and the ability to convert business priorities into revenue opportunities.

Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle.

Develop end-to-end AI and machine learning solutions for Product Safety, partnering with business stakeholders to identify opportunities, train and validate models, prototype generative and agentic AI solutions, and deploy solutions with MLOps in cloud environments. The role also involves statistical analysis, reporting, trend modeling, data testing, and communicating insights and recommendations to leadership and customers.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

Own enterprise sales across Texas, Oklahoma, Louisiana, and Arkansas, driving the full sales cycle from prospecting through negotiation and close. Build relationships with CISOs and security leaders, sell autonomous red-teaming solutions, convert pilots into multi-year agreements, expand customer accounts, and help refine the company’s positioning, pricing, and sales playbook.

Own and grow Armadin’s New York City enterprise territory, targeting major financial services, insurance, media, and Fortune 500 organizations. Drive full-cycle sales from outbound prospecting through negotiation and close, selling autonomous red-teaming solutions to CISOs and security leaders. Convert pilots into multi-year agreements, expand customer accounts, and help shape positioning, pricing, and sales processes in an early-stage environment.

Own the New England enterprise territory from Boston, selling complex cybersecurity solutions to security leaders across major industries. Manage full-cycle enterprise deals, build pipeline through outbound and executive networks, convert pilots into multi-year agreements, expand customer accounts, and help shape early-stage positioning, pricing, and sales processes.

Own Within’s strategic alliances with Big Four and management consulting firms. Build executive relationships, drive partner-sourced revenue, develop scalable enablement, structure sell-to, sell-through, and white-label economics, and lead co-selling enterprise opportunities. The role combines high-level partnership strategy with hands-on execution, including joint solution development, deal support, account success criteria, and internal coordination. It is remote within the US with 40–50% travel.

Serve as the first engineer and technical leader, building Leland Care’s healthcare platform from scratch. Own architecture, data systems, ingestion pipelines, AI intelligence capabilities, agentic coordination systems, and compliance infrastructure. Make high-leverage technical decisions, ship rapidly, and manage outcomes end-to-end in an ambiguous 0-to-1 environment.

Own and close enterprise sales in the US, managing the full cycle from prospecting and pipeline generation through pilots, business cases, negotiation, and contracts. Build relationships with enterprise decision-makers, technical teams, system integrators, and advisory firms. Operate independently without SDR support or inherited pipeline, navigate complex multi-stakeholder evaluations, represent Nebuly at industry events, and help establish early US customer and partner relationships.

Embed AI solutions across legal and corporate affairs to remove workflow bottlenecks, build rapid prototypes for contract analysis and regulatory tracking, enforce data governance, and deliver executive reporting and KPIs to drive legal operations efficiency and risk mitigation.

Partner with HR leaders to define AI strategies, build KPIs, and deliver ROI. Design and deploy generative AI prototypes (e.g., Google AI Studio), integrate across ServiceNow, Jira, and HRIS, enforce data governance and compliance, automate executive reporting and workforce analytics, and translate technical solutions for non-technical HR stakeholders to accelerate AI adoption.

Own product areas end to end, from identifying claims-related problems through shipping solutions and measuring impact. Work closely with claims adjusters, customers, Engineering, Sales, and Claims teams. Identify and validate AI applications, prototype and test solutions with users, use data to guide decisions, and deliver improved customer outcomes. The role requires hands-on product leadership in a fast-scaling, AI-focused insurance claims environment.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.