Top Artificial Intelligence Jobs

Own the full enterprise sales cycle for cybersecurity solutions across organizations with 5,000+ employees. Build pipeline through outbound prospecting, relationships, events, and partners; engage CISOs and security teams; run technical evaluations; develop account plans and business cases; navigate security, privacy, legal, and procurement processes; forecast accurately; close deals; and relay customer and competitive insights to product and sales leadership.

Own the full enterprise sales cycle for cybersecurity software across organizations with 5,000+ employees. Build pipeline through outbound and relationships, engage CISOs and security teams, conduct technical evaluations, develop business cases, navigate procurement and legal processes, forecast accurately, and close deals. Feed market insights back into product and sales strategy while using AI to improve sales effectiveness.

Supports implementation, configuration, enhancement, administration, and troubleshooting of Oracle Fusion Supply Chain and RFSmart warehouse applications. Partners with business, IT, vendors, and contractors to gather requirements, design solutions, manage change requests, conduct testing and UAT, support upgrades, and improve processes through automation and AI. Leads application projects, governance, disaster recovery, operational support, and incident resolution while mentoring junior analysts and participating in rotational on-call support.

Own enterprise sales for AI-powered robotic automation solutions, targeting major manufacturers. Responsibilities include territory and account planning, prospecting, multi-threaded stakeholder management, ROI and business-case development, negotiations, and closing complex multimillion-dollar deals through funded deployment. The role requires expertise in enterprise B2B sales, capital equipment or automation, Robotics-as-a-Service, and long sales cycles. Frequent customer-site travel, approximately 50%, is expected.

Leads AI-enabled transformation across clinical development and regulatory operations, including trial acceleration, safety workflows, regulatory submissions, and clinical technology adoption. Partners with Clinical Affairs, Biometrics, Safety, Regulatory, product, data, and engineering leaders to improve cycle time, quality, productivity, and workflow adoption. Requires substantial clinical operations or regulatory experience, database lock and FDA submission experience, and AI-driven pharmacovigilance expertise.

Lead TechSur’s DHS growth strategy by developing customer relationships, identifying and qualifying federal IT opportunities, managing capture plans, shaping pursuits, building teaming partnerships, and coordinating proposal transitions. The role requires deep DHS contracting knowledge, federal IT market expertise, customer engagement skills, and responsible use of AI for research and capture execution. Success is measured through pipeline quality, customer access, qualified bids, capture progression, win rates, bookings, and revenue growth.

Analyze structured and unstructured data to generate actionable insights for clients. Develop algorithms, data workflows, visualizations, scalable data stores, and machine learning or AI solutions. Use R, Python, SQL, cloud platforms, and modern AI technologies while communicating findings to technical and nontechnical audiences. The role may support applications across fraud detection, cancer research, national intelligence, and other complex challenges.

Lead U.S. policy strategy for frontier AI verification, advise policymakers and governance stakeholders, translate regulatory proposals into verifiable technical claims, and guide research and red-team priorities. Build relationships across government, think tanks, standards bodies, and international counterparts; produce briefings, testimony, public comments, and explainers; track AI regulation and compute-agreement proposals; and establish Lucid’s growing policy function.

Defines enterprise AI and machine learning architectures spanning Generative AI, agentic AI, data, applications, cloud, infrastructure, and enterprise systems. Translates business requirements into architecture blueprints, technical strategies, and implementation roadmaps; develops reusable standards and design patterns; evaluates technology alternatives; and leads technical reviews. The role also establishes patterns for MLOps, model serving, monitoring, governance, security, and deployment across cloud, hybrid, on-premises, and restricted environments while mentoring engineering teams.

Design, build, evaluate, and deploy production AI and ML solutions, including generative AI, large language models, retrieval-augmented generation, and agentic workflows. Develop reliable software, APIs, integrations, evaluations, and observability capabilities while partnering with architecture, platform, data, cybersecurity, and business teams. Apply AI engineering practices across enterprise, cloud, hybrid, and regulated environments.

Own product marketing strategy for Canary’s hospitality technology portfolio, including product launches, pricing and packaging, positioning, messaging, storytelling, webinars, and sales enablement. Analyze customer, product, pricing, and sales data to improve conversions and commercial outcomes. Partner cross-functionally with Product, Sales, Marketing, Finance, Customer Success, and executives to develop go-to-market plans and customer insights.

Drive adoption and market expansion of iRhythm’s Zio cardiac monitoring platform across Eastern Washington and Montana. Develop new healthcare business, manage the full sales cycle, build relationships with cardiologists, electrophysiologists, health systems, and executives, and execute strategic territory plans. Manage pipelines and forecasting in Salesforce.com, oversee account performance, training, inventory, and workflow optimization, analyze market trends, and consistently achieve sales targets while collaborating with cross-functional teams.

Leads KeyBank’s Red Team and offensive security program, including adversary emulation, penetration testing, physical and application assessments, cloud security testing, AI security evaluations, and purple team exercises. Develops testing strategy, methodologies, tooling, metrics, and maturity roadmaps; mentors engineers; coordinates internal and third-party engagements; validates remediation and attack paths; and presents findings and strategic recommendations to executives and cybersecurity stakeholders.

Drive Salesforce services growth across mid-market and enterprise accounts in the San Francisco region. Manage existing and net-new client relationships, lead consultative end-to-end sales processes, develop Salesforce and partner relationships, and coordinate with solution, delivery, and field-sales teams through negotiation and close. The role requires selling professional services and enterprise technology solutions, translating business needs into outcomes, and traveling to client sites up to 20%.

Develops and sustains cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, installation, enhancement, maintenance, and issue resolution. The role works with distributed NoSQL systems, big-data technologies, cloud scalability, machine learning, large language models, RAG, agentic workflows, microservices, Kubernetes, observability, and infrastructure-as-code tools.

Leads U.S. HCP marketing strategy and execution for Rezdiffra, including brand positioning, promotional content, omnichannel campaigns, KOL and congress engagement, sales enablement, analytics, and regulatory-compliant review. Partners cross-functionally with Sales, Medical Affairs, Market Access, Legal, and Regulatory. Manages marketing staff, budgets, agencies, performance reporting, and commercial optimization while supporting the growth of a specialty pharmaceutical brand.

Develops full-stack software and AI/ML solutions for federal pilot projects, including Google Gemini AI integrations. Builds APIs, works with SQL and NoSQL databases, collaborates with data science and prototyping teams, solves complex technical problems, and participates in Agile development. Requires expertise in multiple programming languages, Angular front-end development, back-end systems, and secure, scalable application delivery.

Leads enterprise IT strategy, cybersecurity, infrastructure, cloud modernization, ERP governance, service management, resilience, and technology transformation across manufacturing and corporate locations. Advises executives on technology risk, investments, architecture, and business continuity; oversees senior IT leaders, vendors, budgets, acquisition integrations, and enterprise applications. Partners on AI, automation, analytics, and responsible emerging-technology adoption while strengthening governance, operational reliability, succession planning, and measurable business value.

Develops data science solutions by exploring, cleaning, analyzing, visualizing, and modeling structured and unstructured data. Works with clients to define analytical needs, develops algorithms and machine learning systems, leads complex solution development, and translates data into actionable insights. Potential applications include fraud detection, cancer research, and national intelligence. The role may involve NLP, text mining, AI engineering, LLMs, distributed computing, and production machine learning pipelines.

Design and build a multi-agent LLM framework and production LLM features (RAG, text-to-SQL, retrieval, prompts). Own architecture, testing, monitoring, and optimization for fleet/telemetry data in a fast-moving startup.

Leads enterprise-wide business process transformation, optimization, and continuous improvement across university operations. Responsibilities include process architecture, Lean and Six Sigma analysis, stakeholder change management, KPI and performance framework development, operational modeling, decision-support systems, and mentoring cross-functional teams. The role partners with senior leaders, Finance, Product, and technology teams to improve efficiency, service quality, cost effectiveness, and scalability. This is an in-office position in Salt Lake City with occasional travel up to 20%.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Develop and support compliance technology solutions for regulatory, surveillance, supervision, and risk-control functions. Responsibilities include Java backend development, distributed systems architecture, API and event-driven integrations, cloud and big-data solutions, testing, monitoring, incident support, and operational administration. The role partners with Compliance, Risk, Data, Architecture, and business teams to deliver secure, scalable, auditable systems aligned with regulatory requirements and enterprise standards.

Conducts supervised postdoctoral research into leukemia and therapy-related myeloid neoplasms. Applies molecular, genetic, computational, and single-cell genomic techniques to investigate cancer biology and develop therapeutic insights. Analyzes sequencing and bioinformatics data, develops analytical models, prepares reports and manuscripts, presents findings, and collaborates across laboratories. A Ph.D. is required; computational biology, single-cell technologies, and leukemia or MDS experience are preferred.

Leads enterprise artificial intelligence and digital transformation strategy across manufacturing and corporate functions. Develops AI roadmaps, governance, adoption programs, and business cases; identifies and implements solutions involving predictive maintenance, computer vision, quality inspection, production planning, supply chain, and automation. Oversees pilots, vendors, deployments, risk management, responsible AI, change management, executive reporting, and measurable business outcomes while coordinating cross-functional teams and stakeholders.