Top Artificial Intelligence Jobs

Designs and deploys enterprise AI systems centered on large language models, including fine-tuning, retrieval-augmented generation, prompt engineering, autonomous agents, and NLP applications. The role integrates AI into internal tools and digital products, evaluates frameworks, builds scalable training and deployment pipelines, leads architecture decisions, applies emerging research, and mentors team members.

Leads cybersecurity solution sales for enterprise and small-to-medium business customers. Builds security transformation strategies, identifies and qualifies opportunities, develops pipelines, conducts consultative conversations, and drives complex cloud solution deals through closure. Partners with internal teams and channel partners on proposals, account planning, forecasting, competitive strategy, events, and customer outcomes. Serves as a cybersecurity subject matter expert, mentors colleagues, and supports customer adoption of AI, cloud, and security solutions.

Lead an independent research agenda in artificial intelligence, machine learning, and statistics; conduct rigorous theoretical and applied research; collaborate across disciplines; contribute to large-scale research efforts; develop innovative ideas; publish influential results; and explore applications that inform products and services. Preferred work includes large-scale transformer and LLM experiments, machine learning pipelines, and data collection and curation systems.

Leads integrated partner marketing and communications programs across Microsoft's global channel ecosystem. Develops partner narratives, messaging frameworks, content journeys, campaigns, and measurement strategies to drive awareness, adoption, retention, and revenue growth. Coordinates cross-functional teams, agencies, vendors, budgets, and high-volume communications while supporting change management, PR, compliance, and partner advocacy. Uses segmentation, campaign performance data, and partner insights to optimize engagement and business outcomes.

Develop and operate autonomous AI agents and enterprise integrations using Databricks, Claude, MCP, and event-driven architectures. Build Databricks Apps, maintain MCP connectors, monitor agent performance, manage incidents, and document workflows, triggers, dependencies, and data sources. Partner with business, governance, and process teams to identify suitable agentic AI applications, particularly for go-to-market systems, while applying logging, auditing, naming, and change-management standards.

Lead Applecart’s internal AI adoption and governance strategy. Own the AI tools roadmap, data classification standards, usage guardrails, client confidentiality protections, incident response, and adoption reporting. Partner with Legal, Security, IT, Engineering, and business leaders to evaluate vendors, launch pilots, define success criteria, train employees, and build use-case libraries. The role combines strategic judgment, technical risk management, governance implementation, and organizational enablement in a high-confidentiality environment.

Leads innovation programs, technology pilots, and strategic transformation initiatives from ideation through implementation. Evaluates emerging technologies, develops innovation roadmaps, manages proof-of-concept efforts, and partners with business, IT, startups, and technology providers. Establishes performance metrics, communicates outcomes to senior leadership, and promotes a culture of experimentation and continuous improvement. The role also leads and mentors innovation and cross-functional project teams while improving operational efficiency, customer experiences, and business growth.

Build and manage relationships with AI safety organizations, policy groups, funders, and political allies. Translate partner needs into polling, survey, and message-testing research questions; coordinate AI client projects from scoping through delivery; track requests, commitments, timelines, and priorities; review research materials; brief technical and political audiences; and help shape the firm’s AI research agenda.

Develop and evolve Thinking Machines’ visual brand across websites, launches, publications, and physical objects. Design, build, and improve digital experiences using code, while creating reusable tools, artwork generators, data-driven charts, and publishing components. Collaborate with illustrators, animators, graphic designers, engineers, and researchers to turn concepts into polished, accessible work. Contribute original ideas, manage open-ended projects, incorporate feedback, and explore agentic workflows and emerging technology.

Lead brightwheel’s education business from early traction through product-market fit and scale. Own product vision, customer discovery, prototyping, pricing, business economics, and growth across educators, families, states, districts, and early education programs. Build hands-on with AI and modern tools, partner with the CEO and executive team, recruit and develop the team, and drive outcomes visible to the board.

Research and develop multimodal foundation models that integrate sensor, time-series, language, vision, and audio data. Define problems, design experiments, build and evaluate models, advance architectures and training strategies, and scale research into production systems for physical-world and industrial applications. The role requires independent scientific judgment, end-to-end modeling experience, experimental rigor, and model deployment expertise.

Lead Altana’s Policy & National Security public-sector business globally. Own revenue growth, sales pipeline, forecasting, agency relationships, partner strategy, and complex government pursuits. Shape opportunities with senior stakeholders, guide contracting strategies, coordinate cross-functional teams, and translate policy, budget, and agency signals into product and company strategy. The role requires deep public-sector sales leadership, government procurement expertise, strong networks, and eligibility to obtain and hold a U.S. security clearance.

Own and grow an enterprise sales territory across North Texas and Oklahoma. Develop executive customer relationships, prospect for new business, expand strategic accounts, sell HPE technology solutions, lead complex consultative sales cycles, manage pipelines and forecasts, achieve quotas, and collaborate with sales engineers, channel partners, and cross-functional teams.

Develop and integrate AI/ML solutions for geospatial intelligence, including spatio-temporal modeling, data fusion, semantic enrichment, trajectory analytics, and remote sensing. Engineer multimodal data pipelines, evaluate models, prototype applications, and implement solutions across hardware and software stacks. Provide technical expertise, mentorship, strategic guidance, and client communication for government mission programs.

Partners with Customer Success leadership to define enablement strategies, build onboarding and development programs, manage roadmaps and cross-functional dependencies, and evaluate effectiveness using data and feedback. Leads learning sessions, equips managers to reinforce skills, and coordinates with Operations, Product, Marketing, and technical enablement teams to prepare customer-facing teams for evolving products, processes, and user needs.

Leads globally distributed software engineering teams responsible for Axon’s core cloud infrastructure platform. Defines technical strategy and architecture across infrastructure as code, compute, networking, observability, reliability, security, and developer experience. Partners with Product, Security, and engineering leaders to deliver scalable systems and customer outcomes. Oversees engineering managers and technical leads, develops talent, drives AI-native engineering practices, and builds a culture of accountability, learning, and high performance.

The Senior Data Scientist develops quantitative models for financial crime compliance, performs data analysis, and collaborates across teams to enhance model performance.

Own VIP customer strategy and operations from planning through measurable execution. Partner with leadership to acquire, engage, and retain high-value customers; run concurrent analytical, strategic, partnership, and technical projects; build AI-enabled models, workflows, and analyses; and collaborate with Data, Product, Engineering, and Marketing in a regulated responsible-gaming environment.

Leads the strategy, architecture, and production scaling of agentic AI capabilities across a Databricks-based data platform on AWS. Oversees AI-enabled data modeling, pipeline generation, classification, governance, tool integration, monitoring, security, and human-in-the-loop controls. Manages cross-functional delivery, technical roadmaps, stakeholder communication, and the hiring and development of AI and data engineering teams. Establishes responsible AI, SDLC automation, resiliency, auditability, and quality standards for enterprise adoption.

Design and build realistic simulated workplace environments, evaluation tasks, benchmarks, graders, and scoring systems for training and assessing AI models. Generate synthetic records, files, and communications; prevent models from exploiting evaluation systems; align benchmarks with real-world performance; and convert user feedback into new test cases. The role is early-career and emphasizes reinforcement learning or model post-training experience.

Leads AI-assisted software development adoption and engineering modernization across SecDevOps teams. Oversees microservices, API integration, data modernization, automation, technical debt reduction, scalability, and cross-team coordination. Develops modernization roadmaps, tracks productivity improvements, identifies delivery risks, and communicates technical progress to executives. Requires strong software architecture, AI development tooling, engineering transformation, technical leadership, and communication experience.

Leads systems engineering strategy across a six-task-order software portfolio. Responsibilities include portfolio rationalization, AI insertion, modernization, DevSecOps adoption, legacy platform transitions, architecture guidance, continuous improvement, sponsor collaboration, and technical oversight of cost, schedule, and performance. The role requires presenting technical strategies to senior government stakeholders and coordinating strategic initiatives across engineering and program teams.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.

Develops and adapts large language models and NLP methodologies to create intelligence-analysis capabilities. Responsibilities include building, tuning, evaluating, and deploying AI/ML models; preparing data; using deep learning frameworks and GPUs; developing semantic search and text-focused solutions; and communicating modeling results. The role requires strong Python or R, SQL, version control, cloud, and machine learning experience, along with an active TS/SCI clearance with polygraph and onsite work in McLean, Virginia.

Develops and deploys AI solutions for national security applications, including data preprocessing, large language model training, feature engineering, model evaluation, production monitoring, and technical documentation. Collaborates with data scientists, software engineers, product managers, and stakeholders to deliver scalable machine learning solutions. Requires onsite work in Chantilly, Virginia, U.S. citizenship, and an active TS/SCI clearance with polygraph.