Top Artificial Intelligence Jobs

Designs and governs AI-ready data architecture for a pharmaceutical manufacturing site. Responsibilities include data models, integration, metadata, governance, cloud platforms, AI workflows, LLM and RAG patterns, human-in-the-loop controls, AI lifecycle governance, GxP compliance, validation support, audit readiness, and cross-site architecture leadership. The role also evaluates AI tools, mentors teams, promotes AI literacy, and drives analytics and AI adoption across manufacturing and quality functions.

Own the strategy and delivery of AI-enabled products for enterprise functions. Identify and prioritize use cases, build business cases, manage roadmaps and backlogs, define requirements, and guide solutions from discovery through adoption. Partner with technical and business teams to assess data readiness, governance, privacy, security, risk, and model quality. Lead change management, training, communication, and performance measurement while connecting AI initiatives to ROI, efficiency, quality, and user adoption.

Design and implement traditional machine learning and generative AI capabilities for electronic warfare products. Conduct research and development on emerging AI trends, support product design, ensure quality assurance, and transition capabilities into production. The role requires clearance, programming ability, and education or equivalent experience in machine learning or artificial intelligence. Prior intelligence community or Department of War experience is preferred.

Build and lead the US sales development function for an enterprise AI platform. Own SDR hiring, onboarding, coaching, messaging, outbound playbooks, quota attainment, pipeline quality, CRM systems, reporting, and collaboration with account executives and marketing operations. The role requires enterprise B2B sales development experience, technical product fluency, and a proven record of hiring and developing representatives.

Lead the vision, strategy, roadmap, and delivery of AI-powered Capital Markets tooling. Identify opportunities across debt and equity deal execution, financing workflows, client servicing, and AI agents. Bridge business and engineering teams, guide architecture and prototyping, mentor engineers, influence senior stakeholders, and ensure solutions meet security, ethical, regulatory, and risk-management standards.

Product Counsel will develop and execute product legal strategy, advise marketing, product, and software engineering teams, ensure product compliance across domestic and international markets, identify and mitigate legal risks, build cross-functional relationships, and create efficient legal processes. The role requires broad expertise across intellectual property, compliance, commercial matters, and hardware and software products, supporting innovation in an entrepreneurial environment.

Leads the vision, roadmap, and lifecycle of data, analytics, and AI products transforming defense engine and spare-part delivery. Works directly with planners, operators, and engineers to develop prototypes and production capabilities using manufacturing, quality, and delivery data. Establishes self-service analytics, governs data and AI standards, manages suppliers, influences executive investment decisions, and ensures measurable improvements in delivery, inventory, productivity, and turnaround time.

Supports ERCOT’s Enterprise Risk Management team by identifying, documenting, analyzing, and quantifying organizational risks. Assists with risk assessments, key risk indicator development, wildfire and third-party risk analysis, mitigation tracking, and research into industry and regulatory trends affecting grid operations. The intern may also explore artificial intelligence applications in risk management and will gain practical experience supporting risk-informed leadership decisions within a critical infrastructure organization.

Own the vision, roadmap, requirements, and execution for an AI infrastructure orchestration platform managing power, cooling, and compute. Partner with engineering, reinforcement learning, deployment, customer success, and go-to-market teams. Lead customer discovery, technical tradeoffs, product metrics, positioning, release planning, and creation of product management processes from scratch.

Build high-fidelity digital twins and scalable physics-based simulations of data center power, cooling, and compute systems. Integrate asset models into simulation platforms, validate models against operational data, create APIs and infrastructure for reinforcement learning agent training, and optimize simulation performance. The role requires programming in Python, Go, or C++, first-principles modeling, and familiarity with machine learning environments.

Leads the development and deployment of advanced analytics, AI, and machine learning solutions. Responsibilities include data preparation, pipeline development, predictive modeling, experimentation, model monitoring, generative AI applications, and production operationalization. Partners with business and technical teams, leads medium- to large-scale initiatives, mentors junior data scientists, communicates insights, promotes responsible AI, and delivers measurable business outcomes.

Build and maintain scalable data pipelines and platforms using SQL, Java, or Python. Acquire, tag, integrate, and process structured, semi-structured, and unstructured data. Apply machine learning models for classification, use BigID and AWS, and collaborate with analysts, engineers, developers, and data consumers in an agile environment. Guide analytical exploration, data examination, platform design, deployment, and maintenance for mission-driven client projects.

Leads strategic growth and market expansion for FICO Scores within auto finance, focusing on large depository lenders. Develops multi-year strategies, market segmentation, pricing, competitive positioning, and go-to-market plans. Builds executive relationships with lenders, dealers, and solution providers; advises senior leadership; resolves complex client and commercial challenges; and represents FICO through thought leadership, presentations, and industry events. Travel is required 25–30% of the time.

Leads clinical AI strategy, validation, safety evaluation, and deployment for clinical decision-support solutions. Partners with Product, Engineering, Editorial, Business Development, customers, and strategic partners to ensure clinically accurate and trustworthy implementations. Designs clinical outcomes studies, translates stakeholder feedback into improvements, monitors AI and regulatory developments, and represents the organization through thought leadership. Physicians may maintain up to 20% clinical practice.

Own CloudFactory’s HubSpot ecosystem, marketing automation, CRM governance, paid acquisition, AI-native advertising, email programs, conversion optimization, and campaign analytics. Build scalable B2B demand-generation systems across LinkedIn, Google, AI platforms, and lifecycle channels. Maintain attribution and reporting, protect email deliverability, produce generative AI content, and advise executives on budget allocation, channel performance, and pipeline growth.

Analyzes and certifies conversational AI queries and answers against source data. Improves prompts, semantic layers, taxonomies, metadata, and data models while partnering with Product, Data Science, Engineering, QA, and business owners. Documents business logic, writes technical requirements, identifies recurring quality issues, supports roadmap planning, and creates accuracy test cases and product communications.

Analyze and certify conversational AI queries and answers against source data. Improve prompts, semantic layers, taxonomies, metadata, and labeling so Prism accurately interprets life sciences data. Collaborate with Product Management, Data Science, Engineering, QA, and business owners to identify data-quality issues, define technical requirements, document business logic, create accuracy test cases, and inform the product roadmap.

Own a product vertical and roadmap from prioritization through continuous delivery. Partner with engineering, design, AI/ML, forward-deployed, and go-to-market teams to define workflows, manage risks, conduct customer research, lead enterprise deployments or integrations, and establish product processes. The role focuses on building and scaling 0-to-1 products for in-house legal teams in an early-stage, highly autonomous environment.

Analyzes and certifies AI-generated answers for Prism, a conversational analytics platform for life sciences data. Reviews prompts and queries, validates results against source data, improves semantic layers and data models, identifies recurring quality issues, documents business logic, writes technical requirements, and collaborates with Product Management, Data Science, Engineering, QA, and business stakeholders.

Leads finance for Saab’s Surveillance division, overseeing financial planning, forecasting, reporting, controllership, pricing, program finance, government compliance, audits, risk management, and business decision support. Advises the division general manager and executive leadership, develops finance capabilities, leads transformation and systems improvements, and ensures profitability, cash flow, regulatory compliance, and financial integrity across U.S. government and commercial activities.

Supports the analysis of complex data for National Reconnaissance Office mission efforts. Designs and integrates large datasets, evaluates data quality, prepares data for predictive modeling, and applies AI, machine learning, and statistical methods. The role also supports platform testing, quality assurance, process automation, technical documentation, data compliance, and ethical technology use while advising leadership on mission impact and data-informed decisions.

Build and deploy computer vision models for live and recorded full-motion video. Responsibilities include training and fine-tuning YOLO models, processing and curating video datasets, managing annotations, developing Python inference pipelines, evaluating model performance, and collaborating in an Agile/Scrum team. The role requires onsite work two to three days weekly and supporting a CBP mission in Northern Virginia.

Lead a three-person computer vision team developing, training, and deploying custom YOLO object-detection models for live full-motion video. Architect secure video-training pipelines, establish annotation and dataset standards, address class imbalance and challenging environments, and optimize inference using CUDA, TensorRT, and DeepStream. Integrate computer vision capabilities with broader applications, guide technical direction and Agile delivery, and mentor mid-level engineers.

Owns and grows strategic Financial Services accounts by prospecting, developing channel and alliance opportunities, presenting cybersecurity solutions, closing new business, and expanding customer relationships. The role requires enterprise technology and security sales expertise, executive engagement, account planning, forecasting, reseller collaboration, and the ability to explain NDR, Agentic SOC, AI security, and network visibility solutions. Travel is primarily remote and on the road, with at least 50% travel required.

Lead aerodynamic and aeroacoustic analysis, optimization, modeling, and testing for rim-driven electric and hybrid ducted fan propulsion systems. Develop CFD, computational aeroacoustic, physics-based, data-driven, and AI-enabled models; correlate simulations with experimental data; define validation tests; and optimize thrust, efficiency, noise, weight, and system performance. Collaborate across propulsion, electrical, mechanical, controls, thermal, motor, and systems engineering while serving as a technical authority.