Top Artificial Intelligence Jobs

Lead the strategy and execution of MaintainX reporting, analytics, and ROI products. Expand capabilities from frontline managers to enterprise stakeholders, including operations, finance, and EHS leaders. Partner with data, infrastructure, design, engineering, sales, and post-sales teams to define requirements, support enterprise deals, prioritize roadmap investments, and measure customer and business outcomes through KPIs.

Build and operate MeritFirst’s assessment and hiring platform, including candidate and employer experiences, assessment delivery and evaluation systems, workflows, infrastructure, and AI-enabled features. Own problems end to end from product discovery and system design through deployment, debugging, observability, and iteration. Develop reliable, interpretable, auditable, secure, privacy-conscious software, improve technical foundations, and help establish engineering standards as the company scales.

Own product strategy and execution for digital shareholder engagement and regulatory communications products. Responsibilities include roadmap development, market discovery, business case creation, regulatory requirement translation, product development, launch, commercialization, and optimization. Partner with technology, UX, operations, legal, compliance, and security teams; engage enterprise clients and pilot users; evaluate market developments; and present product strategies to clients and executives.

Supports enterprise risk management by maintaining operational risk frameworks, facilitating Risk and Control Self-Assessments, triaging incidents, developing risk metrics, and monitoring mitigation plans. The role partners with enterprise and technology teams, provides risk management training, uses AI to enhance analytics, and ensures alignment with organizational objectives and regulatory requirements.

Build and own Outtake’s channel ecosystem by identifying and onboarding partners, developing enablement and certification programs, managing deal registration and co-selling, strengthening partner relationships, and establishing CRM reporting and channel KPIs. The role collaborates with Partnerships, Sales, Marketing, and RevOps to create a scalable, forecastable pipeline source. Up to 50% travel is required, with preferred experience in cybersecurity channel ecosystems and AI-enabled workflows.

Own quality control, regulatory alignment, and performance reporting for AI-powered clinical extractors. Analyze accuracy, consistency, data quality, provenance, and performance drift; guide extraction logic and clinical interpretation; support FHIR and CSV data exports; and contribute to governance, de-identification, validation, and client reporting. Collaborate with Data Science, Engineering, and Clinical Informatics while serving as a clinical subject-matter expert, particularly in oncology and real-world evidence.

Leads the strategy, design, development, and delivery of AI and digital products from ideation through scaling. Defines product vision, use cases, roadmaps, and AI/data strategy while coordinating cross-functional teams and managing resources, timelines, dependencies, and KPIs. Oversees data integration, governance, compliance, responsible AI, security, privacy, model explainability, and platform reliability. Builds senior stakeholder relationships and ensures solutions deliver measurable business outcomes.

Leads commercial growth for advanced, additive, and digital manufacturing solutions. Develops executive customer relationships, identifies and converts complex opportunities, shapes digital manufacturing strategies, builds business cases, and guides pursuits from discovery through execution. Connects customer demand with manufacturing and engineering capabilities, packages repeatable offerings, develops ecosystem partnerships, and supports defense and government programs. Coordinates commercial, technical, operational, financial, legal, cybersecurity, supply-chain, and manufacturing stakeholders while improving external revenue and capacity utilization.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Own the full-cycle sales process for mid-market and enterprise accounts across North America. Build pipeline, develop strategic account plans, engage technical data and engineering stakeholders, represent Soda at events and executive meetings, and collaborate with SDRs, sales engineers, executives, and technical teams to close deals for Soda’s data and AI quality platform.

Leads end-to-end global supply chain operations across procurement, sourcing, planning, logistics, inventory, and warehousing. Develops long-term strategy, optimizes costs and service, manages supplier performance and risk, drives digital transformation, and oversees trade compliance and sustainability. Builds organizational capability through talent development, succession planning, analytics, Lean Six Sigma, and cross-functional collaboration. Supports corporate strategy and new product launches across multi-site manufacturing operations.

Provides scientific leadership in computational chemistry for drug discovery and development. Leads development, benchmarking, implementation, and adoption of computational models and workflows using quantum mechanics, molecular dynamics, atomistic simulations, machine learning, and AI. Partners with multidisciplinary teams to optimize drug candidates, evaluates model performance and limitations, mentors scientists, guides capability strategy, communicates scientific recommendations, and builds external collaborations.

Develops and maintains web applications for a government customer within an Agile team. Responsibilities include requirements analysis, software design and coding, business logic implementation, API integrations, unit and formal testing, configuration change control, production troubleshooting, cost estimation, impact analysis, and user training support. The role uses front-end and back-end technologies, AWS cloud services, and collaboration with analysts, UI/UX developers, testers, project leads, and customers.

Tenure-track, open-rank faculty position in Learning Sciences integrating artificial intelligence. Responsibilities include establishing a visible research program, publishing, securing extramural funding, mentoring graduate students, teaching graduate/undergraduate courses, and contributing to departmental, school, and university service. Research may focus on generative AI, LLMs, multimodal models, human-AI interaction, CSCL, and ethical implications of AI in education.

Own the end-to-end product direction and quality of an AI email application. Define AI and system requirements, translate model capabilities into product decisions, balance quality, cost, latency, reliability, safety, and user experience, and partner with ML, backend, and client engineers. Establish evaluation frameworks, quality standards, feedback loops, and failure recovery strategies while driving prioritization, execution, experimentation, and user trust in a zero-to-one environment.

Leads Viral Nation’s content marketing strategy and execution as a demand-generation engine. Owns editorial planning, content-to-conversion pathways, distribution, brand governance, attribution, KPI reporting, and optimization across B2B and B2C audiences. Manages content employees and freelance resources, partners with sales and marketing teams, and uses data, testing, and AI-assisted workflows to generate qualified leads, influence pipeline, and improve content ROI.

Supports Innovation Lab engineers with power and thermal management testing, laboratory workflows, and engineering operations. Develops and maintains an AI knowledge assistant for technical documentation, test procedures, standards, troubleshooting, and data analysis. Improves assistant performance through prompt engineering, retrieval optimization, and user feedback analysis while applying engineering fundamentals, systems thinking, and first-principles reasoning.

Leads end-to-end supply chain operations, including procurement, sourcing, demand and supply planning, logistics, inventory, warehouse management, trade compliance, and sustainability. Develops long-term strategy, optimizes costs and resilience, drives digital transformation and continuous improvement, manages supplier performance, supports product launches, and builds organizational capability through talent development and succession planning.

Design, build, and operate AWS-based microservices and asynchronous workflows powering AI-driven laboratory protocol generation. Develop NLP pipelines, classifiers, embedding and RAG infrastructure, evaluation frameworks, guardrails, cost monitoring, and observability. Integrate AI systems into production SaaS architecture, ensure reliability and safe scaling, and support post-launch operations through debugging, incident response, and continuous improvement.

Leads enterprise-wide AI transformation by developing strategy, identifying high-value generative and agentic AI opportunities, guiding governance and responsible adoption, and delivering measurable business outcomes. Partners with executives and cross-functional technology and business teams, leads product managers and engineers, evaluates AI technologies and vendors, establishes KPIs, and recruits and develops the AI transformation organization.

Lead SmartCOP’s new-name acquisition strategy and public-sector sales organization. Build, recruit, coach, and scale teams of sales representatives, product consultants, and sales support staff. Own complex enterprise sales cycles for CAD, RMS, and JMS solutions; improve bookings and conversion rates; forecast performance using CRM data; and cultivate executive relationships with public safety leaders. Represent the company at industry forums and navigate government procurement and regulated-industry sales environments.

Lead the architecture and development of scalable LLM-powered applications, AI infrastructure, and full-stack services. Build reliable platforms, automation, monitoring, and deployment systems for enterprise-scale AI workloads. Conduct capacity planning, performance tuning, incident response, and post-mortems. Collaborate with product teams, improve development processes, and mentor engineers while supporting rapid and reliable delivery of AI features.

Evaluate and improve AI-generated outputs for accuracy, clarity, quality, and business alignment. Develop and refine prompts, annotate data, conduct rubric-based assessments, fact-check content, and provide actionable feedback on model performance. Create and edit technical documentation, strategy reports, market analyses, business cases, executive summaries, and professional communications. The role requires strong analytical reasoning, writing, research, quality assurance, and attention to detail.

Create reinforcement learning environments to evaluate AI systems solving complex software engineering tasks with MCP tools. Responsibilities include designing reproducible environments, deterministic verification, golden reference solutions, bug fixes, feature implementation, codebase refactoring, and performance optimization across software codebases.

Lead legal workstreams for acquisitions, acquihires, investments, joint ventures, and other strategic transactions from diligence through closing and integration. Draft and negotiate transaction documents, advise on deal structures and risk, coordinate internal teams and outside counsel, prepare executive and Board materials, and develop repeatable M&A playbooks, templates, and processes.