Top Artificial Intelligence Jobs

Edits, standardizes, and releases Bluetooth specifications, test documentation, and related technical content. Collaborates with subject-matter experts, working groups, internal teams, and global member organizations to ensure clarity, consistency, and quality. Supports content planning, scheduling, information architecture, drafting guidelines, consensus building, and process improvements. The role also contributes to content strategy, complex documentation projects, candidate interviews, and responsible AI adoption.

Supports mission-critical data science initiatives by collecting, transforming, and analyzing complex datasets; building ETL, data quality, machine learning, and analytics pipelines; and applying Python, R, Spark, SQL, TensorFlow, and PyTorch. Collaborates in Agile and DevOps environments using distributed technologies such as Kubernetes and Docker. Troubleshoots data and pipeline issues, communicates insights to technical and non-technical stakeholders, and contributes to modern cloud-native mission capabilities.

Drive enterprise sales growth across a defined region by building account strategies, developing pipelines, closing complex cybersecurity deals, and expanding strategic accounts. Sell Noma’s AI security platform to CISOs and AI security leaders, build channel and cloud partnerships, and collaborate with Product, Marketing, and leadership. The role requires expertise in enterprise security software sales, complex procurement processes, category creation, formal sales methodologies, and six-figure, multi-stakeholder deals.

Provides global technical leadership for digital AI standards, certification, assurance, training, advisory, and assessment services. Develops AI governance and lifecycle assurance methodologies covering predictive and generative AI, LLMs, agents, cloud AI, model risk, testing, transparency, fairness, privacy, security, robustness, and operational resilience. Translates regulations, standards, emerging technologies, and customer needs into scalable offerings while engaging customers, regulators, standards bodies, and internal stakeholders.

Designs, validates, launches, and improves rigorous evaluations and benchmarks for frontier AI systems. The role analyzes model capabilities and failure modes using experimental and statistical methods, builds reproducible evaluation infrastructure, collaborates on post-training measurement, and communicates findings through reports, technical articles, and research papers.

Leads end-to-end delivery of enterprise supply chain analytics and optimization implementations. Responsibilities include engagement governance, solution architecture, modeling, data integration, configuration, UAT, adoption, change management, and executive stakeholder alignment. Manages global cross-functional teams, scopes statements of work, drives delivery accountability, and provides product roadmap feedback. The role is hands-on and customer-facing, requiring strong technical delivery, supply chain analytics, and program management expertise.

Leads AI-enabled transformations across Global Distribution, from identifying high-value business and client opportunities through product strategy, roadmap development, delivery, organizational change, adoption, and measurable value realization. Partners with business, technology, data, design, risk, legal, and compliance stakeholders to create AI-native products and workflows while managing trade-offs, governance, technical decisions, and enterprise readiness.

Manage North American pipeline generation with a focus on outbound growth, while overseeing inbound and event motions. Lead and coach the Business Development team, improve prospecting quality, manage conversion and pipeline targets, reinforce qualification and sales handoff standards, and use performance data to improve messaging, targeting, and conversion. Collaborate with Sales, Marketing, and Operations while supporting representative onboarding, development, and performance management.

Leads AI adoption and capability building across Global Distribution by developing role-based learning pathways, enabling platform launches, managing an AI Champions Network, and coordinating communities of practice. The role creates learning experiences, manager enablement, communications, and practical use-case showcases while measuring adoption, proficiency, engagement, and learning effectiveness. It partners with AI, technology, product, HR, and enterprise learning teams to drive sustained behavior change and responsible, effective use of generative AI.

Provides customer and portfolio support for Equipment Finance accounts. Responsibilities include analyzing loan and lease documents, monitoring account accuracy, billing customers, resolving cash application and invoice issues, collecting past-due payments, reconciling accounts, identifying credit concerns, and supporting lien perfection. The role requires collaboration with banking teams, adherence to lending regulations, use of servicing systems and Microsoft tools, and professional client communication.

Regional Sales Manager responsible for selling enterprise imaging, PACS, AI, VNA, archiving, and image-sharing solutions across the Southeast United States. Develops territory plans, identifies prospects, engages healthcare decision-makers, conducts demonstrations, creates proposals, closes complex technical sales, manages Salesforce activity, attends trade shows, and supports sales meetings and conferences. Requires healthcare IT or IT sales success, strong product knowledge, communication, presentation, organizational, and relationship-building skills. This is a remote role with customer-site and event travel.

Supports Intelligence Community customers by developing systems engineering plans, requirements specifications, interface control documents, verification plans, and technology transition processes. Coordinates stakeholders, interagency partners, and customer decision meetings; elicits technical requirements, documents policies, and supports projects from requirements definition through deployment. Work is performed onsite at a customer location and requires active TS/SCI clearance with polygraph.

Advise senior Department of War leadership on defense R&D strategy, modernization priorities, technology gaps, roadmaps, and investment planning. Coordinate with government laboratories, industry, academia, FFRDCs, UARCs, and international partners. Analyze technical programs, support evaluations and requirements development, and prepare executive briefings, reports, white papers, and strategic assessments across advanced technology domains.

Serves as a defense R&D subject matter expert supporting senior Department of War leadership. Develops technology roadmaps, strategic assessments, briefings, white papers, and executive products; advises on modernization priorities and capability gaps; coordinates with government laboratories, industry, academia, FFRDCs, UARCs, and international partners; and supports technical evaluations, requirements development, program tracking, and transition planning.

Lead modeling, simulation, and analysis efforts for Joint Integrated Air and Missile Defense programs. Plan analytical campaigns, develop models and performance metrics, oversee complex studies, manage analysts, coordinate with government and technical partners, analyze weapons systems and sensor data, apply advanced statistics and emerging AI/ML techniques, and brief findings to senior government decision-makers.

Drive growth in BinSentry’s swine business by prospecting strategic accounts, generating qualified meetings, conducting discovery and product demonstrations, and converting opportunities into customer pilots. Support pilot-to-commercial conversions, account expansion, renewals, and strategic customer relationships. Maintain CRM data, develop account plans, attend industry events, and collaborate with Sales, Marketing, Customer Success, and Product. The role is remote with 20% travel and requires expertise in SaaS or technology sales, strategic accounts, and pipeline development.

The Compliance Automation Specialist translates regulatory requirements into automated, data-driven compliance tests using SQL, Python, AI, and large datasets. The role sources and validates data, documents test logic and lineage, coordinates with IT and data teams, applies responsible AI governance, investigates exceptions, supports audits and regulatory examinations, and reports testing coverage and results. Banking or financial services experience is essential, along with knowledge of compliance testing, consumer and deposit regulations, and core banking systems.

Lead end-to-end solution architecture for globally scalable R&D digital platforms spanning data ingestion, integrations, experimentation workflows, user experiences, AI/ML, and cloud capabilities. Establish reusable architecture patterns, governance, non-functional requirements, security, and operational standards. Guide build-versus-buy decisions, DevOps/DevSecOps practices, and platform integration with enterprise data domains. Partner with product owners, delivery teams, cybersecurity, enterprise architecture, data teams, and vendors across globally distributed agile environments.

Supports USPACOM joint targeting operations through intelligence analysis, target development, operational planning, and intelligence integration. Maintains target intelligence and MIDB records, produces analytical products and briefings, supports collateral damage assessments, researches threats using multiple intelligence disciplines, and applies AI-enabled platforms to operational decision-making. Collaborates with military, government, and intelligence organizations during contingency planning, exercises, and mission execution.

Lead commercial legal strategy for Handshake AI and Enterprise, managing high-value AI data, training, enterprise services, and strategic partnership transactions. Advise on data rights, IP, privacy, security, licensing, and risk allocation; negotiate with AI labs and enterprise customers; partner with Sales, Product, Partnerships, and Operations; and build scalable contracting processes, playbooks, approval frameworks, and the commercial legal team.

Develops predictive models, quantitative analyses, data visualizations, and machine learning solutions for Department of Defense clients. Responsibilities include data exploration, cleaning, mining, statistical programming, natural language processing, text mining, dashboard development, and advising stakeholders on actionable insights. Requires experience with Maven Smart System and a TS/SCI clearance.

Leads the strategy, delivery, governance, and optimization of commercial technology platforms, including CRM, pricing, e-commerce, analytics, customer data, and AI capabilities. Owns the transformation roadmap and partners with Sales, Marketing, Finance, Customer Service, and IT leaders. Oversees product ownership, enterprise integrations, data governance, cybersecurity compliance, vendor relationships, budgets, and cross-functional project delivery. Drives measurable business value through pricing effectiveness, customer insights, automation, and scalable commercial operations.

Lead the design, development, deployment, and ongoing operation of AI solutions that automate workflows and improve decision-making for internal teams and clients. Architect secure integrations with Polaris IQ, third-party tools, and client systems while partnering with strategy, product, engineering, data, and client stakeholders. Translate technical concepts into business value, manage solution lifecycles, and eventually lead a small team of AI strategists and engineers.

Supports innovation lab engineering initiatives involving power and thermal management technologies, laboratory testing, and AI-enabled engineering workflows. The intern will develop and maintain an AI knowledge assistant, expand its troubleshooting and data-analysis capabilities, and improve performance through prompt engineering, retrieval optimization, and user feedback. The role requires an engineering, physics, data science, statistics, or computer science student with strong analytical, communication, problem-solving, and systems-thinking skills.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.