Top Artificial Intelligence Jobs

Conduct SIGINT analysis, technical targeting, network mapping, vulnerability analysis, exploitation, and target development for offensive cyber operations. Process and fuse complex all-source intelligence, generate access leads, produce actionable intelligence, and support CNO projects and national security missions. Collaborate across teams and agencies while analyzing telecommunications, space-based, weapons, and network technologies.

Design and operationalize security architecture, governance patterns, and technology guardrails for enterprise AI platforms, agentic systems, digital coworkers, and emerging technologies. Responsibilities include threat modeling, security design reviews, architecture diagrams, reference architectures, security requirements, AI security patterns, standards, and implementation guidance. The role partners with engineering, identity, application security, cloud, data, risk, and enterprise architecture teams to evaluate solutions and enable secure AI adoption.

Teach undergraduate and graduate computing courses, mentor students, establish an externally funded research program, publish scholarly work, pursue grants, and contribute to curriculum development and interdisciplinary or industry collaborations. Candidates must hold a doctorate in Computer Science or a related field and demonstrate teaching, research, funding, leadership, and mentorship records appropriate to their rank.

Owns and evolves the legal department’s technology ecosystem, including CLM and ELM platforms, workflows, integrations, support, and optimization. Leads legal technology transformation initiatives, budgets, implementations, UAT, training, change management, and stakeholder engagement. Evaluates emerging AI and automation tools, builds low-code workflows, tracks platform metrics and ROI, and partners with Legal, IT, Product Management, and business teams to improve legal service delivery.

Resolve provider claims inquiries, audit claims and payments across systems, and communicate accurate answers. Use SQL to identify inquiry patterns and root causes, then build and test AI-assisted workflows that triage questions, verify claim and contract data, and draft responses. Improve upstream processes and provider self-service to reduce manual work. The role suits business-minded, communicative candidates who are curious about SQL, Python, and AI tools, even without formal software engineering experience.

Leads planning, execution, and sustainment of secured digital technology program work environments. Manages scope, schedules, costs, risks, resource forecasts, financials, requirements, proposals, technical collaboration, and change control across cross-functional engineering teams. Serves as the primary digital technology contact for assigned programs, communicates status to leadership and customers, supports digital transformation, and drives predictable service delivery. The role is hybrid in Cedar Rapids, Iowa, with up to 25% domestic travel.

Leads the creation of Seeq’s IT and enterprise go-to-market capability, including buyer strategy, positioning, offers, messaging, commercialization, campaigns, sales plays, executive engagement, and cross-functional execution. The role develops measurement frameworks, influences product and portfolio decisions, supports enterprise sales, and builds the operating model and team structure needed to scale the function.

Build production agentic AI services for Azure customer support. Responsibilities include designing AI service architectures, developing multi-agent workflows and RAG systems, integrating Azure data sources, creating evaluation frameworks, and writing production-quality C# and Python. The role also covers CI/CD deployment, observability, security, responsible AI, testing, monitoring, incident response, and cross-team delivery.

Leads Cartier North America’s Commercial Learning and Development strategy across boutiques, call centers, and retail partners. Oversees a geographically dispersed team, develops measurement and ROI strategies, uses commercial data to identify performance gaps, partners with senior stakeholders, and drives selling, client experience, product knowledge, and leadership development. The role requires approximately 70% travel across North America for field engagement and boutique visits.

Executive leader responsible for CyrusOne’s global sales and customer experience organization across North America, Europe, and Asia Pacific. Drives commercial growth, customer lifecycle ownership, strategic account development, forecasting, Salesforce modernization, AI-enabled transformation, complex transaction execution, and cross-functional enterprise alignment. Builds leadership capability, represents the company with major customers and investors, and leads large-scale data center and digital infrastructure sales strategies.

Coordinates technical and programmatic information across defense acquisition program offices, consolidates portfolio status, analyzes trends, tracks risks, supports technology roadmaps, and briefs senior leadership. Represents the PEO in external engagements and funding activities while overseeing requirements, systems engineering acquisition milestones, cloud-native deployment considerations, and alignment with DoD acquisition frameworks.

Client Solutions Architect shaping and commercializing AI, data, and cloud modernization engagements for enterprise clients. Partners with Sales and Delivery to lead discovery, executive workshops, solution design, proof engagements, platform adoption, and conversion of opportunities into contracted revenue. The role requires strong technical consulting, solution architecture, commercial strategy, business-case development, and the ability to translate complex technology into measurable business outcomes.

Lead enterprise sales for Komodor’s agentic operations platform, prospecting and closing new business with F1000 organizations. The role requires selling complex infrastructure SaaS solutions to SRE, DevOps, and platform engineering teams, managing forecasts, developing pipelines, and closing large ARR deals. The Account Executive will collaborate with Sales Engineering, Customer Success, and Solutions Architecture while helping define and scale the company’s enterprise sales motion.

Tenure-track Assistant Professor positions in Mechanical Engineering focused on digital twins, controls and sensors, or composite materials for aerospace applications. Responsibilities include building an externally funded research program, publishing scholarly work, teaching undergraduate and graduate courses, mentoring students, advising research and design teams, and collaborating across the university. Candidates must hold a doctorate in Mechanical Engineering or a related field and demonstrate teaching, research, communication, and collaboration potential.

Provide technical support to SaaS customers by debugging Playwright tests, API checks, authentication flows, and application issues. Use packet captures, traceroutes, and timing analysis to troubleshoot failures, create engineering reproductions, and contribute bug fixes. Improve AI-assisted support processes, identify product trends, maintain documentation, and collaborate asynchronously with product and engineering teams.

Leads New York State initiatives strengthening quantum and AI innovation ecosystems. Oversees the Quantum Hubs program, develops statewide strategies, tracks impacts, identifies federal funding opportunities, builds partnerships across industry and academia, coordinates government stakeholders, supports grant proposals and communications, and advances research commercialization across quantum computing, communications, cryptography, sensing, AI, semiconductors, optics, and photonics. Travel up to 25% is required, primarily within New York State.

Leads insurance-focused data and AI consulting engagements, advising senior leaders, defining transformation roadmaps, managing large programs and client relationships, developing proposals and solution architectures, and guiding analytics, automation, cloud, DataOps, governance, and predictive modeling initiatives. Drives delivery quality, growth opportunities, continuous improvement, and team innovation across multiple clients.

Manage a complex portfolio of insurance agency territories as a subject matter expert, driving profitable growth, retention, and new business. Develop sales strategies, conduct agency diagnostics, build distribution relationships, onboard agencies, and negotiate with partners. Collaborate with Product, Underwriting, and Operations teams, cross-sell insurance products, lead presentations and workshops, and use analytics and digital tools to guide decisions. Mentor less experienced employees and travel extensively throughout the assigned territory.

Lead modernization of enterprise applications and systems through cloud architecture, generative AI software development practices, and software engineering automation. Design, build, test, deploy, and maintain scalable cloud solutions while addressing availability, performance, security, and cost. Establish engineering standards, resolve complex technical issues, advise stakeholders, mentor colleagues, and collaborate with infrastructure, operations, security, and senior leadership teams.

Leads enterprise AI and software engineering modernization initiatives, designing, building, testing, deploying, and maintaining scalable cloud solutions. Establishes engineering standards, applies generative AI development practices, reviews complex architectures, resolves technical issues, and collaborates with infrastructure, security, operations, leadership, and external partners. Provides technical influence, mentorship, and strategic guidance while supporting cloud migration and automation across the organization.

Lead and mentor a product design team creating accessible, culturally relevant AI literacy experiences and digital tools. Conduct user research and usability testing, develop wireframes and prototypes, contribute to design systems, apply UX writing, collaborate with engineering and product teams, communicate design strategy, and manage multiple projects through timely delivery.

Build, test, troubleshoot, document, and maintain AI-enabled workflows and automation solutions using Microsoft Power Platform and Microsoft 365. Gather requirements from attorneys and business users, coordinate testing, resolve workflow and integration issues, support pilots and rollouts, monitor production workflows, and translate feedback into practical improvements. The role also supports document automation, intake processes, approvals, task routing, and internal and client-facing AI initiatives.

Leads complex client engagements using artificial intelligence, generative AI, advanced analytics, search, and tailored workflows for litigation intelligence. Advises legal, technical, and business stakeholders; designs and validates AI-assisted solutions; develops prompting strategies; evaluates outputs for quality and defensibility; presents findings; manages concurrent matters; partners with sales and internal teams; and mentors consultants and analysts.

Curate and annotate investment datasets from infrastructure and private credit virtual data rooms, identify financial, legal, technical, and operational deal terms, and draft investment memos for AI model training and evaluation. Define annotation standards, manage labeling quality control, collaborate with AI/ML, product, and investment teams, and contribute to prompt engineering and AI-generated diligence tools.

Leads resolution of strategic Microsoft Fabric product and platform blockers. Translates customer scenarios into engineering requirements, coordinates engineering, product, support, services, and field teams, develops workarounds, influences roadmap priorities, communicates risks to senior leaders, and measures adoption, revenue, and competitive impact.