Top Artificial Intelligence Jobs

Conduct computational research in knowledge-grounded AI, knowledge graphs, systems modeling, natural language processing, machine learning, and biomedical data harmonization. Develop open-source scientific software and benchmark applications, publish and present research, contribute to grant proposals, supervise graduate students and junior researchers, and support lab purchasing and budget administration.

Build and lead FlowX.AI’s global customer success practice, initially focused on agentic AI accounts. Partner with Sales to define outcome-based KPIs, track post-deployment success, maintain C-suite relationships, drive customer references, identify account expansion opportunities, and establish US customer success playbooks and processes. The role requires enterprise software experience, commercial expertise, regulated-industry knowledge, and the ability to build a CS function from an early stage.

Serve as lead legal advisor to product, engineering, and technology teams on AI, software, cloud, privacy, cybersecurity, intellectual property, and technology transactions. Develop AI governance and responsible-use policies, assess regulatory and ethical risks, negotiate technology and AI vendor agreements, advise on IP and data workflows, monitor global technology regulations, and train employees. The role requires significant legal experience, active bar membership, AI and privacy expertise, and the ability to influence executive and cross-functional stakeholders.

Build and operate production-grade full-stack AI applications and custom agents using MCP, RAG, LLMs, and cloud-native technologies. Own features throughout design, implementation, testing, deployment, observability, and lifecycle support. Integrate AI services, APIs, databases, and Kubernetes platforms while ensuring reliability, security, scalability, and maintainability for critical manufacturing systems. Collaborate across engineering and business teams and use AI-assisted development practices to accelerate delivery.

Partner with product owners to translate business problems into scalable data science, ML, AI, and GenAI solutions. Develop predictive, forecasting, optimization, and simulation models; analyze large datasets; build dashboards; deploy models in cloud environments; and contribute to data governance and infrastructure improvements.

Architect and deploy production-grade autonomous AI agents for semiconductor manufacturing. Responsibilities include designing multi-agent systems, RAG and agent pipelines, evaluation and profiling frameworks, MCP/A2A integrations, security controls, and Kubernetes-based CI/CD deployments. The role requires optimizing inference workloads, transforming AI prototypes into scalable systems, collaborating with data teams and manufacturing experts, and mentoring engineers.

Chief of Staff to the CEO driving company-wide transformation, AI adoption, cross-functional growth initiatives, operating cadence, executive decision support, organizational design, and change management. The role requires influencing senior leaders without formal authority, translating strategy into accountable programs, preparing leadership and board materials, and serving as a trusted thought partner to the CEO and executive team.

Lead product design for personalization and AI-powered travel experiences. Translate traveler signals, preferences, memory, and machine-learning capabilities into intuitive, explainable products. Collaborate with Product, Engineering, Data Science, Machine Learning, Analytics, Pricing, and Design teams; address cold-start challenges; prototype and test concepts; guide ideas toward production; communicate strategy through storytelling; and establish strong interaction and visual design standards.

Leads the marketing technology roadmap and transformation strategy across multiple brands. Drives process improvement, automation, responsible AI adoption, platform integration, technology investments, vendor management, and cross-functional delivery. Partners with Marketing, Technology, Data, Legal, Risk, and Compliance to implement scalable solutions, improve efficiency, reduce risk, and increase marketing capacity. Presents business cases and recommendations to senior leadership while measuring adoption, cost savings, cycle-time improvements, and business outcomes.

Lead product design for personalization and AI-powered travel experiences, translating traveler signals, preferences, memory, and machine-learning capabilities into intuitive products. Partner with Product, Engineering, Data Science, and Analytics teams; solve cold-start challenges; design signal-capture experiences; prototype and test concepts; communicate design rationale; and help mature promising ideas into polished products.

Leads software product management and product engineering across oncology and prenatal businesses. Oversees provider and patient portals, internal platforms, product strategy, AI adoption, architecture, engineering execution, scalability, quality, and operational excellence. Builds high-performing teams and partners cross-functionally to deliver customer-facing healthcare software and internal operational systems.

Advance aerospace and space exploration missions through systems engineering, propulsion system design, trade studies, performance analysis, requirements management, risk assessment, interfaces, margins, uncertainty analysis, and verification planning. The role supports orbital mechanics, trajectory analysis, spacecraft design, vehicle integration, subsystem assessments, technology maturation, and modeling and simulation for NASA-related missions.

Leads pharmacovigilance and product safety activities for cardiovascular assets from first-in-human studies through commercialization. Responsibilities include signal detection, risk management, benefit-risk assessment, aggregate safety reporting, safety documentation, ICSR review, regulatory support, audits and inspections, SOP and QMS management, vendor oversight, and technology-enabled process improvement. Serves as a pharmacovigilance subject matter expert and cross-functional representative, with potential future team-management responsibilities.

Leads the Client Platform technology organization, owning engineering, architecture, delivery, technology strategy, platform investment, AI capabilities, data integration, and governance. Partners with Product Owners and business leaders across institutional, wealth, intermediary, marketing, sales, and client servicing functions. Oversees client-facing technology ecosystems, vendor relationships, contract negotiations, risk controls, and scalable capabilities for wealth distribution, private markets, CRM, marketing, and client engagement.

Leads end-to-end generative and agentic AI initiatives, from research and experimentation through production deployment. Designs foundation-model solutions, evaluation frameworks, semantic modeling standards, and responsible AI controls. Partners with product, engineering, risk, and business stakeholders to define outcomes, optimize reliability and performance, and deliver scalable AI services. Mentors engineers and data scientists while communicating technical recommendations to diverse audiences.

Partner with customers on audio AI initiatives from ideation through launch. Build consultative relationships, translate customer objectives into actionable strategies with research and engineering teams, identify account opportunities, and execute strategic account plans that align stakeholders, advance complex opportunities, and drive long-term customer success.

The Chief of Staff partners with founders to drive strategy, special projects, fundraising, board communications, and business operations. Responsibilities include managing cross-functional initiatives, preparing financial models and investor materials, building dashboards, overseeing budgets and forecasts, improving workflows with AI and automation, and coordinating finance, legal, compliance, and people functions. The role requires high autonomy, strong judgment, executive communication, and the ability to translate complex AI and neuroscience work into clear company narratives.

Account Director responsible for enterprise sales across energy and chemistry markets. The role involves qualifying complex R&D and product development opportunities, generating pipeline, engaging Fortune 1000 stakeholders, presenting value-based business cases, building consensus, closing enterprise deals, and contributing customer insights to product strategy. Requires 50% travel to customer sites and industry events, collaboration with technical teams, and a consistent record of exceeding sales quotas.

Own and scale the operating model supporting Clinical Operations leaders, clinicians, dyads, and coordinators. Design end-to-end workflows, standardize processes, build SQL and business intelligence reporting, automate repetitive work, and develop AI-enabled self-service solutions. Manage support staff, establish playbooks and escalation paths, and measure operational efficiency, service levels, clinician performance, quality, and satisfaction while reducing administrative burden.

Leads Procore’s global campaign strategy and operations, managing campaign strategists and operations managers while building audience-centric, full-funnel campaigns. Owns global audience strategy, campaign portfolios, customer journeys, content governance, and regional localization. Partners with Product Marketing, Field Marketing, Analytics, Digital, Brand, and MarTech to improve pipeline performance, establish operating processes, and scale campaign execution. Requires extensive B2B marketing experience, team leadership, cross-functional operating model expertise, analytics fluency, and executive communication skills.

Build and maintain scalable data pipelines, platforms, and ETL/ELT workflows that organize structured and unstructured data. Develop scripts and data feeds, manipulate Elastic data, support reporting and analytics, and convert varied data into usable formats. Collaborate with analysts, engineers, developers, and data consumers in an agile environment while assessing, designing, monitoring, and operating data platforms for mission-driven clients.

Leads digital product strategy and delivery for client engagements, from discovery through execution and go-to-market. Defines product vision, gathers requirements, creates user stories and process artifacts, advocates for users, measures product impact, and drives improvements. Facilitates workshops, supports stakeholder adoption, mentors colleagues, contributes to thought leadership and business development, and collaborates with cross-functional teams in a consulting environment.

Architects and builds distributed configuration, feature-flagging, experimentation, and rollout infrastructure. Designs scalable, reliable backend systems; establishes automated safeguards, progressive delivery, observability, rollback, and measurement capabilities. Integrates AI into platform development and operational workflows, leads cross-team technical initiatives, delivers APIs and self-service tools, mentors engineers, and owns production outcomes.

Leads transformation of demand and revenue planning processes, data, systems, automation, and analytics. Partners with business leaders, IT, and technology vendors to prioritize initiatives, design solutions, improve data quality, implement integrations, develop dashboards and AI use cases, and drive adoption. The role also manages transformation roadmaps, benefits realization, executive communication, training, documentation, and continuous improvement.

Teach undergraduate Business Information Systems courses, advise and mentor students, develop curriculum, support experiential learning and career preparation, and maintain an active scholarship or professional activity program. Responsibilities may include teaching database management, systems analysis, enterprise platforms, cloud technologies, project management, supply chain analytics, business process improvement, and generative AI. The role also involves university and community service, interdisciplinary collaboration, and supporting diverse learners.