Top Artificial Intelligence Jobs

Serves as a customer-facing technical liaison supporting sales of embedded RFID, machine vision, scanning, display, and touchscreen solutions. Responsibilities include technical advising, demonstrations, proof-of-concepts, system integration, cost estimation, documentation, customer relationship management, and representing customer needs internally. Requires collaboration with sales and product teams, frequent travel, and technical knowledge of engineering processes, coding, automation, and machine vision applications.

Embed with enterprise clients to map workflows, identify automation opportunities, build business cases, and translate ambiguous problems into agent briefs for engineering teams. Lead discovery, KPI definition, executive presentations, adoption, training, change management, and post-deployment measurement. Expand AI transformation opportunities within existing accounts and codify successful approaches into playbooks. The role requires strong communication, analytical rigor, commercial judgment, AI fluency, and comfort working in an ambiguous, high-urgency startup environment.

Leads public relations and earned-media programs for B2B and B2C clients, including media pitching, reporter relationships, reputation management, trend monitoring, messaging, and integrated campaigns. Manages client-facing projects, timelines, workflows, deliverables, budgets, billing, reporting, and new-business support while collaborating across agency teams.

Own and close the company’s largest, most complex public-sector enterprise deals across municipalities, school districts, and law enforcement agencies. Build strategic pipelines, navigate procurement processes, expand regional revenue, retain major accounts, and mentor Account Executives. The role requires extensive B2G or GovTech sales leadership, public-sector relationship development, forecasting expertise, and familiarity with Salesforce, CPQ, BI, and revenue operations tools.

Leads the enterprise data strategy, roadmap, portfolio, and investment planning. Directs complex cross-functional data programs, establishes governance and success metrics, advises executives, and aligns business priorities with technology, analytics, cloud, and AI capabilities. The role also drives organizational change, stakeholder adoption, strategic communications, and continuous evolution of the organization’s data operating model.

Own and grow the Accenture alliance in North America by creating joint value propositions and driving software ARR and CoE adoption. Manage end-to-end sales engagements, partner business planning, co-marketing, and pipeline alignment while collaborating with product, pre-sales, delivery, and Accenture teams. Build executive relationships, sell complex/multimillion-dollar solutions, and productize repeatable IP. Maintain deep product and market knowledge and travel as needed.

Leads Novartis’s enterprise workforce and people strategy for Data Science and Artificial Intelligence. Responsibilities include strategic workforce planning, organization design, talent reviews, succession, career frameworks, capability development, talent branding, governance, rewards, and human-AI collaboration. The role influences senior global stakeholders, establishes enterprise standards, connects enterprise strategy with unit execution, and coaches leaders through organizational transformation.

Analyze sales, marketing, and revenue operations data to uncover insights and improve go-to-market strategies. Collaborate with Sales, Data Science, Marketing, and Finance teams; build scalable reporting tools; and present strategic recommendations to executive leadership. The role requires SQL-based analysis, strong data management, proactive ownership, and interest in ecommerce marketplaces. Successful interns may be considered for full-time employment.

Leads marketing strategy and team development for the North America Grain business. Oversees brand, communications, creative services, digital marketing, events, channel communications, campaigns, marketing technology, budgets, agencies, and performance measurement. Partners with Product Management, Sales, Pricing, and business leaders to improve go-to-market execution, commercial programs, customer engagement, and marketing effectiveness. The role also modernizes processes, develops capabilities, and drives practical use of CRM, analytics, automation, and AI.

Supports administration of federally and privately sponsored research programs, including proposal development, budget preparation, compliance, reporting, and technical deliverable tracking. Manages students, volunteers, lab supplies, equipment orders, and maintenance scheduling. Serves as a liaison with sponsors and administrative teams, represents the research center in meetings, and assists the Director with stakeholder coordination and lab operations.

Directs Gwinnett Technical College’s Computer Programming program through curriculum development, instruction, student advising, faculty management, recruitment, budgeting, accreditation, and continuous quality improvement. Teaches 15–20 credit hours per semester, evaluates student progress, coordinates departmental activities, maintains program documentation and certification requirements, and stays current with programming, software development, and educational trends.

Own the strategy, roadmap, and execution for Turno’s core marketplace platform, including scheduling, job completion, quality verification, and payments. Conduct discovery with hosts and cleaners, balance supply and demand, define KPIs, build Looker dashboards, guide API-first platform modernization, and deliver AI-enabled workflows. Partner closely with Engineering, Design, Operations, and leadership while leading engagement platform initiatives, legacy migrations, UX redesigns, and continuous product improvement.

Designs and operates governance, security, deployment, monitoring, and cost-management frameworks for enterprise AI platforms. The role builds semantic models in Snowflake and Databricks, develops CI/CD and infrastructure-as-code solutions, enables multi-environment deployments, monitors AI reliability and usage, and implements auditability, responsible AI standards, RBAC, identity controls, and policy enforcement. It also partners with data and engineering teams to manage lineage, governed metrics, model operations, and cloud consumption across AI workloads.

Leads Caterpillar’s Advanced Technology Pod within AI R&D, setting the applied AI vision and portfolio. Oversees production-intent prototypes, reference architectures, evaluation standards, and responsible AI practices for downstream productionization. Manages senior data scientists and AI engineers, establishes technical standards, and aligns product, engineering, business, dealers, customers, and technology partners. The role requires expertise in modern AI, statistical experimentation, system architecture, production-oriented research, and executive communication.

Leads design-system tooling and practices by translating standards and Figma designs into coded reference components, specifications, validation tools, and implementation guidance. Evaluates AI-assisted design tools, establishes responsible adoption practices, partners with Engineering to identify design-to-code gaps, mentors designers prototyping AI experiences, and supports governance, onboarding, accessibility, and cross-functional contribution processes.

Founding quality engineering leader responsible for defining testing strategy, building cross-platform test automation infrastructure, establishing release quality processes, and manually testing new requirements. The role evaluates nondeterministic AI outputs, performance, resource usage, and synthetic test data. It also offers the opportunity to hire and mentor future QA engineers while collaborating with internal teams, users, and partners.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

Lead robotics research and engineering across perception, learning, simulation, planning, control, hardware integration, and deployment. Translate scientific priorities into reliable physical-robot capabilities, establish evaluation standards, solve cross-stack technical problems, and guide the robotics roadmap. Recruit and mentor researchers and engineers, collaborate with AI and neuroscience specialists, and make hardware, compute, and tooling decisions.

Lead architecture and delivery of complex AI harness and distributed software systems. Design agentic frameworks, AI/ML integrations, full-stack applications, cloud infrastructure, CI/CD pipelines, security controls, and enterprise integrations. Establish testing, performance, token optimization, and anti-hallucination practices; guide technical strategy, mentor engineers, and oversee projects from prototyping through deployment. The role is onsite in McLean, Virginia, includes occasional travel, and supports secure government and defense workflows.

Define and lead the AI enablement strategy, roadmap, and commercialization plan for TruIQ analytics products. Translate customer needs into product requirements, guide AI-enabled product development, establish evaluation and governance frameworks, and partner with Engineering, Data Science, Security, Compliance, and go-to-market teams. The role promotes responsible AI adoption in regulated environments, validates intelligent capabilities, builds customer trust, and mentors Product Managers on AI product practices.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Build and lead Dispatch’s Biometrics function for clinical development, establishing statistical strategy, data standards, operating processes, vendor oversight, and analysis infrastructure. Serve as hands-on lead statistician for oncology studies, guiding trial design, dose selection, regulatory submissions, data interpretation, and inspection readiness. Partner cross-functionally and with CROs, regulators, and external stakeholders while scaling the team and function across a growing biotech pipeline.

Architect, build, deploy, and scale production AI agents and platforms for legal workflows. Develop secure, reliable, and cost-effective AI solutions; prototype and evaluate agents; optimize performance; redesign business processes; and collaborate with Legal, Data, Security, Privacy, and Engineering teams. Contribute to AI training, governance, responsible AI adoption, and enterprise standards while translating technical capabilities into measurable business outcomes.

Leads revenue growth across programmatic platform partnerships, including DSPs, SSPs, and adtech intermediaries. Builds global pipelines, sells targeting and measurement solutions, structures identity-based data deals, and closes six- to seven-figure enterprise agreements. Manages Salesforce forecasting, develops executive relationships, drives upsell, and collaborates cross-functionally with business development, marketing, product, engineering, legal, and finance teams.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.