Top Artificial Intelligence Jobs

Leads data science and analytics efforts supporting NRO ground enterprise missions. Designs and integrates complex datasets, evaluates data quality, develops data architectures, supports predictive modeling, and improves data delivery through automation. Collaborates with technical and mission stakeholders, validates operational platforms, documents processes, supports data migration, and promotes compliant and ethical use of data and analytical systems.

Supports the NRO Ground Enterprise Directorate front office by advising senior leaders, coordinating strategic initiatives, tracking action items, shaping communications, and facilitating cross-functional collaboration. The role develops metrics and planning frameworks, supports reviews and organizational processes, provides acquisition and technical input, and translates complex space and intelligence concepts for diverse stakeholders.

Supports NRO ground enterprise missions through data science, analytics, machine learning, and statistical methods. Responsibilities include managing and integrating complex datasets, evaluating data quality, preparing data for predictive modeling, improving and automating processes, validating operational platforms, documenting technical processes, and promoting data compliance and ethical platform use. The role also advises leadership on model risk, mission impact, and data-informed decisions while collaborating with technical teams, operators, project managers, and clients.

Leads the strategic integration of data science and advanced analytics across the SOCOM SOF Enterprise. Applies AI, ML, scientific methods, and analytical systems to structured and unstructured data to produce actionable intelligence. Provides technical guidance to SOCOM stakeholders, manages geographically distributed data support teams, aligns digital capabilities with operational priorities, and delivers analytics solutions in mission-critical environments.

Provides data science and systems engineering advisory support for AI/ML software acquisition and lifecycle management. Responsibilities include analyzing data for AI explainability, developing and evaluating machine learning models, assessing cloud software architectures, identifying technical risks and debt, creating computer vision roadmaps and acquisition documentation, and advising government stakeholders on automated analytics capabilities.

Provides systems engineering and technical advisory support for U.S. Government AI/ML R&D programs. Coordinates spacecraft experiment design and execution, analyzes data, documents findings, supports acquisition packages and alternatives analyses, and contributes across the full system lifecycle. Responsibilities also include risk, schedule, technical performance management, vendor material assessment, and technical briefings. Requires significant acquisition experience, systems engineering expertise, and an active TS/SCI clearance with polygraph.

Leads systems engineering and integration for AI and machine-learning capabilities transitioning into NRO satellite ground systems. Responsibilities include requirements analysis, architecture, infrastructure and cloud integration, technology assessments, DevSecOps governance, technical documentation, transition planning, risk mitigation, stakeholder coordination, and supporting operational system delivery. Provides infrastructure strategy, capacity planning, technical mentorship, and integration of on-premises systems with cloud services.

Own Phoenix’s company-wide revenue strategy and commercial engine across Marketing, Sales, Partnerships, and Revenue Operations. Build a scalable go-to-market organization, drive predictable revenue growth, expand into new merchant segments, establish forecasting and operating cadence, develop strategic partnerships, and align Product, Engineering, AI, Payments, Finance, and Customer Success around growth. Partner with the executive team to scale the company from Series A toward category leadership.

Build and lead REDE’s US operations as an equity partner. Responsibilities include developing sales and marketing, expanding the US market, owning the full sales cycle for ServiceNow and Databricks engagements, managing client and vendor relationships, overseeing financial compliance and P&L activities, and representing the company at industry events and executive engagements.

Designs, develops, tests, deploys, maintains, and enhances machine learning and AI solutions for healthcare. Responsibilities include managing ML codebases and pipelines, collaborating with clinical and research teams, implementing scalable workflows on HPC resources, reviewing code, troubleshooting models and data analysis, supporting publications, and developing reliable production services. The role also involves technical leadership, system debugging, on-call support, and cross-functional collaboration within the Innovation Office.

Supports digital transformation and process improvement initiatives through workflow analysis, documentation, business cases, ROI calculations, automation prototypes, dashboards, data validation, testing, UAT coordination, and deployment support. The intern also assists with project tracking, stakeholder coordination, presentations, change adoption materials, and training related to AI, automation, Lean, and digital tools.

Builds and maintains analysis-ready clinical and biological datasets from SQL, EDC, laboratory, registry, and biobank sources. Develops reproducible Python and SQL pipelines, applies machine learning to serologic and clinical data, and evaluates LLM-assisted workflows. Partners with biostatistics, data engineering, and clinical affairs on data quality, clinical data management, regulatory deliverables, study operations, dashboards, manuscripts, and clinical research documentation.

Leads complex supply chain software implementations for customers, including requirements discovery, process design, advanced configuration, testing, troubleshooting, deployment workshops, and training. Applies optimization models and AI algorithms to supply planning scenarios. Provides functional leadership, customer guidance, escalation management, and mentorship to junior consultants while supporting supply chain processes such as forecasting, MRP, constraint management, and production scheduling.

Own the AI product strategy and roadmap for HealthEdge’s HealthRules Payer platform. Identify and prioritize AI use cases across claims, member management, enrollment, benefits, and contracts; translate strategy into product requirements; and align product, engineering, data science, UX, marketing, and sales teams. Lead AI governance, regulatory compliance, customer presentations, go-to-market messaging, pilots, and feature commercialization while ensuring responsible AI use in healthcare payer workflows.

Leads The Bancorp’s enterprise AI and intelligent automation strategy, roadmap, governance, operating model, and delivery portfolio. Oversees AI-enabled workflows involving machine learning, NLP, generative AI, document intelligence, and agentic capabilities while ensuring security, compliance, model risk management, data governance, and regulatory alignment. Partners with executives and cross-functional stakeholders, evaluates vendors and platforms, measures business value, and builds the organization’s AI and automation capabilities through leadership, change management, adoption, and talent development.

Leads federal civilian capture efforts from opportunity identification through award for $10M-$50M+ IT pursuits. Develops capture strategies, win themes, customer engagement plans, competitive analyses, and proposal support while building relationships with government stakeholders. Partners with technical, delivery, pricing, recruiting, and proposal teams. Uses AI tools for market intelligence, opportunity analysis, capture planning, customer insights, and proposal development. Requires substantial GSA and federal procurement expertise.

Provides enterprise architecture leadership across Federal technology environments by defining current, transition, and target-state architectures, modernization roadmaps, governance standards, cloud and integration strategies, cybersecurity controls, data and AI architectures, and reusable technology patterns. Assesses technology portfolios, guides solution alignment, facilitates stakeholder workshops, supports strategic proposals, and mentors architects and engineers. Requires extensive enterprise architecture experience, cloud expertise, and eligibility for a Federal Public Trust clearance.

Leads strategy, roadmap, product outcomes, and P&L for Quadient’s on-premise CXM Flex portfolio. Oversees product management, platform modernization, AI capabilities, security and compliance requirements, cloud migration paths, customer retention, competitive positioning, and enterprise sales support. Partners with R&D and commercial teams to improve releases, upgrades, hybrid deployments, and migrations to SaaS while developing a focused product management organization.

Lead delivery of complex technology programs for Asset & Wealth Management by defining strategy, scoping problems, advising senior stakeholders, managing cross-functional teams, driving roadmaps, and delivering executive-level communications while mentoring junior staff and managing risks and resources.

The Director will lead product innovation for digital assets and stablecoins, focusing on strategy, cross-functional collaboration, and market testing to drive Mastercard’s Core Payments business.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Serve as a clinical product specialist bridging real-world clinical practice and product functionality for InterSystems EHR. Influence product roadmaps, define workflows and requirements, collaborate with cross-functional teams, engage customers to translate clinical needs into product features, and represent the product externally.

Builds AI-powered developer tools, intelligent applications, agents, APIs, and cloud-scale services. Responsibilities include applying engineering and AI techniques, evaluating LLMs and retrieval systems, developing and testing scalable software, collaborating with product and research teams, and applying responsible AI principles. The role targets a Summer 2027 start and emphasizes learning, maintainability, reliability, security, and performance.

Lead a high-volume personal injury pre-litigation practice in San Antonio. Evaluate case viability, liability, coverage, damages, medical treatment, and valuation; oversee demands and settlement negotiations; resolve liens and approve distributions; supervise support staff; mentor attorneys; advocate for clients; and identify cases requiring litigation. The role requires Texas licensure, substantial personal injury experience, strong settlement judgment, leadership ability, and proficiency with legal technology.

Manage a personal injury pre-litigation docket from post-intake through settlement. Evaluate liability, coverage, damages, medical treatment, and claim value; approve demand packages; negotiate with adjusters; resolve liens and client distributions; supervise paralegals and assistants; and advocate for clients. The role requires Texas bar licensure, personal injury experience, strong organization and communication skills, legal technology proficiency, and onsite work in San Antonio.