Top Artificial Intelligence Jobs

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Leads enterprise risk and resilience advisory engagements spanning cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, coordinates cross-functional experts, supports pursuits and solution development, and creates methodologies and reusable practice assets. Builds trusted executive relationships while helping grow RapidScale’s Risk & Resilience advisory practice.

Leads enterprise risk and resilience advisory engagements, structuring complex client challenges across cybersecurity, cloud, AI, governance, compliance, and transformation. Develops recommendations, roadmaps, executive presentations, proposals, scopes of work, and engagement plans. Coordinates cross-functional subject matter experts, facilitates executive workshops, supports pursuits, and contributes to methodologies, frameworks, and reusable practice-building assets.

Lead enterprise Risk & Resilience advisory engagements spanning risk, cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structure ambiguous client problems, lead workstreams, facilitate executive workshops, develop recommendations and roadmaps, support proposals and solution design, coordinate subject matter experts, and create repeatable consulting methodologies and practice assets.

Leads enterprise Risk and Resilience advisory engagements across cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, supports pursuits and solution development, coordinates cross-functional experts, and creates consulting methodologies, frameworks, proposals, and reusable practice assets.

Lead enterprise risk and resilience advisory engagements from problem definition through recommendations and execution planning. Facilitate executive workshops, develop proposals and scopes of work, coordinate cybersecurity, cloud, AI, compliance, and architecture experts, and manage client communications. Translate complex business and technology risks into actionable strategies, roadmaps, and presentations. Help build repeatable consulting methodologies, frameworks, collateral, and go-to-market capabilities for RapidScale’s growing advisory practice.

Own end-to-end delivery of a multi-year autonomous manufacturing facility supporting a defense-scale shipbuilding program. Responsibilities include facility setup, robotic application sequencing, production qualification, ongoing operations coordination, NAVSEA compliance, stakeholder management, risk mitigation, milestone reporting, and maintaining program requirements and handoffs. The role requires coordinating engineering teams, external robotics partners, customer leadership, and government stakeholders while traveling to program sites up to 25% of the time.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Provides Six Sigma process improvement expertise across financial and healthcare operations. Supports project scoping, risk identification, resource allocation, facilitation, vendor management, strategic initiatives, data analysis, issue resolution, and project documentation. Presents findings to senior leadership and ensures projects are completed on time and within scope. The role requires project management certification, project execution experience, Six Sigma knowledge, and demonstrated artificial intelligence knowledge.

Leads CDW’s enterprise AI enablement program by creating roadmaps, coordinating cross-functional leaders, scaling AI champion networks, translating responsible AI guidance into practical practices, and tracking adoption and impact. The role drives AI fluency and behavior change across a large, multinational organization through program governance, leader coaching, external research, partner management, dashboards, and repeatable operating standards.

Provides strategic technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessment, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, sampling analysis, facility modernization support, KPI development, executive reporting, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in occupational exposure limits, industrial hygiene methods, safety engineering, and regulatory standards.

Owns end-to-end planning, budgeting, forecasting, reporting, and performance analysis for the US Investment Management business. Leads variance analysis and creates credible, executive-ready financial narratives, challenging assumptions and advising senior leaders on risks and tradeoffs. Partners with business stakeholders, improves FP&A processes and controls, and applies AI and automation to streamline forecasting and reporting. Requires strong business acumen, advanced Excel and PowerPoint skills, and experience presenting financial insights to senior leadership.

Leads the global operational lifecycle for Kinexys and eWallet, including payment processing, settlements, investigations, reconciliations, exception management, client servicing, controls, and incident response. Defines operating strategy, governance, metrics, capacity plans, and scalable operating models. Drives operational transformation, automation, readiness for new products and regulatory requirements, risk management, audit support, remediation, and continuous improvement while leading geographically distributed teams and cross-functional stakeholders.

Leads first-party card fraud strategy by analyzing fraud trends, customer friction, and internal and external data. Develops and implements detection strategies, operational controls, and performance monitoring to balance fraud losses, costs, revenue, and customer experience. Partners with product, technology, and operations teams on requirements, testing, and capability development. Communicates with senior stakeholders, tracks industry practices, manages priorities, and mentors analytical team members.

Develop and optimize semiconductor packaging processes, automation, equipment, and data systems for quality, reliability, cost, and manufacturability. Conduct root cause analyses and failure investigations using FMEA, 8D, SPC, and FDC. Collaborate with equipment, process development, and integration teams, support pilot-line operations, and transfer technologies to high-volume manufacturing sites.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Lead and execute spacecraft assembly, integration, and test campaigns; define AI&T strategies and test flows; mentor engineers and technicians; manage GSE, facilities, cost/schedule estimates, and proposal input; ensure rigorous verification in cleanroom and lab environments while tracking performance metrics and reducing risk.

Manages strategic U.S. Navy accounts, primarily NAVAIR, by developing executive relationships, building pipeline, closing complex enterprise IT deals, coordinating account teams and partners, and executing account business plans. Drives HPE portfolio growth, profitability, customer advocacy, and long-term technology strategy while supporting federal contracting and funding processes.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Leads the East enterprise sales team, driving quota attainment, account-based execution, forecasting discipline, win-rate improvement, and complex deal strategy. Manages, coaches, and performance-manages Account Executives while developing scalable sales processes and enterprise go-to-market motions. Partners cross-functionally with Marketing, Product, RevOps, Enablement, Solutions Engineering, Legal, and Customer Success to improve deal velocity, customer engagement, and segment performance.

Leads systems engineering strategy within a Digital Engineering and AI council, defining standards, roadmaps, adoption metrics, and reusable practices. Embeds with programs to coach teams and integrate model-based systems engineering, digital workflows, AI-supported techniques, and traceability across requirements, architecture, analysis, design, and verification. Tracks adoption, reports outcomes, supports transition to team ownership, and provides ongoing subject-matter expertise across defense engineering programs.

Performs imagery and geospatial intelligence analysis supporting NGA and machine learning training data. Creates, reviews, verifies, annotates, and categorizes imagery and multi-INT data; applies photointerpretation, targeting, precision mensuration, GIS, and order-of-battle expertise. Trains and mentors junior analysts while collaborating across teams. Uses imagery exploitation and GIS software, geodatabases, and potentially Python scripting to produce intelligence products and support AI platforms.