Top Artificial Intelligence Jobs

Leads and develops a team of pre-sales engineers delivering technical demonstrations, proofs of concept, integration strategies, and enterprise solution architectures. Partners with sales leadership on qualification, account planning, territory strategy, and revenue outcomes. Influences product direction through customer feedback and represents the platform in executive briefings and industry events. Requires extensive enterprise software pre-sales experience, technical architecture expertise, leadership experience, and up to 70% travel.

Owns BI product management for Quote-to-Cash and Order-to-Cash financial processes. The role identifies operational friction, translates finance and commercial data needs into BI, AI, and machine learning opportunities, and creates PRDs, roadmaps, and functional requirements. It partners with finance, sales, legal, product, delivery managers, and engineering teams to ensure quoting, contracting, billing, and revenue recognition data is accurately represented in downstream products and dashboards.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Lead enterprise network security architecture, governance modernization, and cybersecurity strategy across on-premises, hybrid, and multi-cloud environments. Design automated governance capabilities using Policy-as-Code, Process-as-Code, workflow optimization, and AI-assisted security analysis. Establish measurable methods for evaluating controls, policy compliance, risk, and governance maturity while influencing executives, architects, engineers, and business stakeholders. The role is fully onsite Monday through Friday and requires approximately 10% travel.

Lead complex HHS technology programs spanning modernization, software development, cloud, data, cybersecurity, and digital services. Manage scope, schedules, staffing, finances, risks, contractual deliverables, and multidisciplinary teams while maintaining customer relationships and compliance. Support business development through HHS customer engagement, opportunity identification, capture planning, solution development, teaming, proposal reviews, and pipeline growth.

Own account portfolio growth and pipeline, lead end-to-end complex multi-region digital deals, collaborate with internal and external stakeholders, align product roadmaps with customer insights, and maintain CRM hygiene while selling AI-enabled data management solutions into healthcare and life sciences.

Analyze structured and unstructured data to uncover insights, develop predictive models and algorithms, and create visualizations that support client decision-making. The role involves data exploration, cleaning, mining, statistical analysis, machine learning, artificial intelligence, and natural language processing across public- and private-sector challenges. Candidates collaborate with clients, use programming and distributed-computing tools, and must hold a Secret clearance and bachelor’s degree.

Develop algorithms, predictive models, quantitative analyses, and visualizations using structured and unstructured data. Collaborate with clients to understand business and mission needs, explore and clean complex datasets, apply statistical and machine learning techniques, and convert disparate information into actionable insights. The role supports applications including fraud detection, cancer research, and national intelligence.

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.

Leads ServiceNow’s global data and analytics go-to-market strategy to drive revenue growth and optimize performance. Collaborates with Product, Marketing, Sales, Finance, Strategy, and Industry teams; leads annual GTM planning; develops growth business cases; represents sales and GTM efforts; and serves as the data and analytics expert supporting agentic AI initiatives. Builds executive relationships, influences stakeholders, drives enterprise sales excellence, and enables global matrixed teams to exceed quotas.

Own strategic customer relationships and commercial opportunities for Arm silicon across Physical AI and Edge AI markets. Develop demand, identify lighthouse customers, progress opportunities from evaluation through design wins and deployment, maintain pipeline forecasts, gather market and product insights, and coordinate cross-functional teams. Engage senior business and engineering leaders while communicating Arm’s value in performance, power efficiency, AI capability, security, software ecosystem, and system economics.

Manage the post-sale lifecycle for strategic platform partners, driving adoption, retention, expansion, and value realization. Coordinate API/SDK solution development with customer and internal engineering teams, lead executive business reviews, analyze performance metrics, and support partner enablement through training, collateral, and success stories. Improve customer success processes, collaborate with Marketing on engagement, and provide insights to Product. The role requires enterprise relationship management, technical understanding, and flexible scheduling across U.S. time zones.

Owns day-to-day operations for an early-stage industrial robotics company, including sourcing materials, negotiating with suppliers, issuing and tracking purchase orders, coordinating freight, managing recruiting logistics, supporting onboarding, collecting vendor documentation, coordinating invoices, and maintaining operational systems. The role requires exceptional organization, persistence, resourcefulness, commercial judgment, phone-based follow-up, and comfort solving ambiguous problems independently.

Build and support AI-powered workflows and automation for Gusto’s go-to-market teams. The role contributes to GTM AI strategy, evaluates models and vendors, integrates Salesforce and other GTM systems with data warehouses, and develops evaluation frameworks measuring reliability, latency, cost, and business impact. It also coordinates cross-functional implementation, training, adoption, and reusable guardrails across Sales, Marketing, and Partner teams.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.

Lead software engineering for JPMorganChase’s Digital Utilities team by designing, developing, testing, debugging, and operating secure, scalable Java microservices on AWS. Review production code, improve application resiliency, automate recurring remediation, and promote CI/CD and secure development practices. Drive responsible adoption of AI-assisted engineering tools for coding, reviews, testing, troubleshooting, and root-cause analysis. Evaluate vendor and startup technologies, assess architectural designs, and coach engineers on compliant AI usage.

Lead enterprise IT strategy and operations for a regulated nuclear manufacturing company. Oversee cloud, infrastructure, cybersecurity, ERP, data analytics, AI initiatives, IT governance, budgeting, vendor management, disaster recovery, and IT service delivery. Partner with executive leadership and government stakeholders, modernize systems, ensure regulatory compliance, and build a high-performing technology organization.

Supports cybersecurity and privacy consulting engagements across strategy, compliance, cloud security, identity and access management, ethical hacking, threat monitoring, incident management, data protection, and AI security solutions. Contributes to engagement planning, project management, business development, marketing, and thought leadership while collaborating with clients and team members. The role requires strong analytical, technical, communication, problem-solving, and time-management skills, plus the ability to travel and work onsite or at client locations.

Supports manufacturing automation across production, quality, throughput, and new product introduction. Troubleshoots pneumatics, electrical systems, PLC logic, vision systems, robotics, servo axes, networking, and databases. Modifies PLC, robotic, and HMI programs; maintains backups; plans preventive maintenance; analyzes machine performance; implements corrective actions and continuous improvements; and coordinates with internal teams and vendors to improve automation availability, performance, quality, and efficiency.

Develop and execute federal government affairs and advocacy strategies for Motorola Solutions. Build relationships with Members of Congress and committee staff, particularly on Commerce and Judiciary Committees. Advocate for company priorities involving telecommunications, privacy, artificial intelligence, cybersecurity, and drones. Monitor legislative and regulatory developments, arrange congressional meetings, prepare stakeholder communications and meeting readouts, and coordinate strategies through trade associations.

Leads the enterprise strategy and architecture for BNY’s desktop, laptop, and virtual workplace platforms. Responsibilities include platform modernization, resiliency, vulnerability management, system hardening, lifecycle planning, disaster recovery, regulatory compliance, and technology risk reduction. The role also defines the future AI endpoint strategy, including AI-capable devices, edge computing, and on-device inferencing to improve privacy, performance, cost efficiency, and operational continuity.

Collaborate with stakeholders to analyze business requirements and identify opportunities for digital and AI solutions. Assist with designing, developing, and implementing AI models, algorithms, and digital applications. Research emerging AI, machine learning, and data science trends, gather feedback, integrate solutions into existing systems, and support continuous improvement and innovation.

Conduct enterprise risk analytics, quantify exposures, monitor risk limits, perform scenario stress testing, and develop models, dashboards, and reporting. Collaborate with business units and senior management to integrate quantitative and qualitative risk insights into strategic and financial planning. Support enterprise risk assessments, insurance evaluations, risk escalation, capital planning, and continuous improvement of risk models and indicators. Higher levels lead cross-functional projects, provide thought leadership, and coach others.

Leads data strategy and AI transformation, including AI-ready data integration, enterprise migration, interoperability, data governance, quality, reconciliation, and risk management. Manages technology staff, budgets, infrastructure reliability, compliance, business continuity, disaster recovery, resource planning, and stakeholder relationships across business units and operating companies.

Supports technical product managers with user research, opportunity discovery, requirements definition, product artifacts, Agile delivery, backlog refinement, prioritization, and cross-functional collaboration. Uses data, dashboards, and performance metrics to inform recommendations while developing technical fluency in APIs, cloud platforms, integrations, AI, machine learning, and automation. Receives mentorship and contributes to real-world digital product and platform initiatives.