Top Artificial Intelligence Jobs

Integrates intelligence and targeting missions with technical teams developing data, software, and AI-enabled capabilities. Translates targeting workflows into requirements, user stories, data standards, and acceptance criteria; coordinates stakeholders across DoD and the Intelligence Community; supports target development, interoperability, testing, governance, training, and fielding. Defines safeguards, auditability, human review, and operational constraints for AI-enabled workflows while measuring mission impact and supporting travel to customer and government sites.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

The role includes advising on AI compliance, assessing regulatory risks, establishing governance, and collaborating with various teams on AI initiatives in Wealth Management.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Manages co-marketing programs with technology partners across cloud, AI, and XaaS. Owns MDF funding lifecycle, incentive and rebate programs, partner portals, campaign execution, co-branded content, timelines, budgets, compliance, and ROI reporting. Collaborates with Sales, Finance, Alliances, Engineering, demand generation, and brand teams to support revenue objectives, sales enablement, pipeline growth, and quarterly business reviews.

Serve as the founding Account Manager and trusted advisor for major financial institutions, payment providers, and fintech companies. Build executive relationships, understand customer workflows and pain points, drive upsells, renewals, and referrals, and collaborate with product and engineering to improve customer operations. Develop playbooks, feedback loops, and scalable processes for the account management and customer success function.

Drive net-new enterprise customer acquisition from lead generation through contract closure. Build C-level relationships, develop account strategies, manage CRM pipelines and forecasts, negotiate complex contracts, and close large AI, machine learning, and data talent engagements. Partner with marketing, customer success, and talent teams to deliver customer outcomes and expand Factored AI’s enterprise footprint.

Leads Dynatrace’s enterprise AI strategy, roadmap, governance, and value realization across global business functions. Evaluates AI technologies, vendors, platforms, and build-buy-partner decisions; establishes responsible AI policies and risk controls; and builds AI enablement programs and a Center of Excellence. Advises executives, measures productivity and ROI, drives organizational adoption, and guides enterprise AI architecture and deployment reliability.

Leads DePuy Synthes Supply Chain’s Data and AI strategy, demand prioritization, governance, roadmap, and portfolio delivery. Partners with business, IT, and global capability center teams to deliver data products, dashboards, predictive models, and AI solutions across planning, procurement, manufacturing, inventory, logistics, and customer service. Establishes data quality and value-realization frameworks, manages executive stakeholders, and develops data and analytics talent.

Leads DePuy Synthes’ corporate Data and AI strategy across ERP, HR, Legal, Procurement, Finance, and Corporate Affairs. Owns demand management, prioritization, governance, roadmaps, and delivery portfolios while coordinating global delivery teams. Oversees data products, dashboards, analytics, predictive models, and AI solutions; advances data governance, master data management, and data quality. Builds stakeholder alignment, tracks business value, and develops data and AI talent across a global matrixed organization.

Conduct IT control testing and federal audit fieldwork; prepare workpapers, findings, reports, memos, and other client deliverables. Review team work, guide less experienced auditors, gather audit data, report findings, and recommend corrective actions. Apply federal auditing and accounting standards, including NIST, GAO, FISCAM, FASAB, AICPA, and OMB guidance. Use data analysis and AI tools to improve audit efficiency while meeting engagement schedules and deadlines.

Drive commercial growth and market leadership for Sikich’s insurance vertical. Develop insurance-specific growth strategies, expand pipelines, lead consultative solution selling, shape executive-level pursuits, and cross-sell Salesforce, Microsoft, data and AI, cybersecurity, risk management, and managed services. Build relationships with insurance executives, provide industry thought leadership, guide go-to-market campaigns, monitor market trends, and develop an integrated insurance playbook across Sikich practices.

Supervise audit professionals, perform testing of reported amounts and internal controls, prepare and review audit workpapers and reports, manage assigned work areas, lead client meetings, delegate tasks, meet contractual deadlines, and use data analysis tools and AI to improve audit procedures.

Leads pre-sales solution architecture for Microsoft Dynamics 365 Business Central and related Microsoft platforms. Qualifies prospects, gathers requirements, designs and demonstrates ERP and AI-enabled solutions, coordinates with sales, developers, marketing, and delivery teams, and transitions documented requirements to implementation. The role manages complex demonstrations, supports million-dollar sales, maintains client relationships, and meets sales targets.

Conduct federal audit testing to assess reported amounts and internal control effectiveness. Prepare workpapers, findings, reports, and other audit deliverables; manage assigned work areas and meet contractual deadlines. Use data analysis tools and AI to improve audit procedures, participate in training, and maintain strong communication, organization, and professional standards. The role requires an active Secret clearance or the ability to obtain and maintain one, with travel up to 25%.

Supervise audit professionals conducting state and federal grant compliance testing, evaluating reported amounts and internal controls, and preparing audit workpapers, findings, and reports. Review team deliverables, delegate assignments, guide staff development, lead client meetings, manage assigned work areas, and meet contractual deadlines. The role uses data analysis tools and AI to improve audit procedures and requires CPA candidacy or certification, leadership experience, grant compliance familiarity, communication skills, and up to 25% travel.

Tenure-track Assistant Professor of Accounting responsible for teaching, scholarly research, publication, and service. The successful candidate will demonstrate strong teaching potential, pursue high-quality accounting research, and support an inclusive classroom environment. Research and teaching interests across accounting areas are welcomed, with particular interest in data analytics, big data, text analysis, machine learning, and artificial intelligence. Candidates must hold a doctoral degree in Accounting and submit teaching and research materials, publications or working papers, and references.

Drive analytics, strategy, planning, and delivery for complex, large-scale technology programs. Coordinate cross-functional teams, establish execution workflows and prioritization frameworks, identify automation opportunities, and use data to influence organizational solutions. Communicate technical and financial impact to executives while managing risks, dependencies, stakeholders, and technology strategy across Walmart’s global operations.

Leads data science teams developing, validating, and deploying machine learning and advanced analytical solutions. Partners with cross-functional stakeholders to identify business opportunities, build data-driven strategies, communicate insights to executives, and improve operational efficiency. Responsibilities include team leadership, talent development, forecasting, simulation, optimization, GenAI initiatives, financial modeling, and translating complex data into actionable business outcomes.

Lead applied AI research from literature review and foundational research through proof-of-concept development and production deployment. Design and evaluate machine learning, deep learning, reinforcement learning, NLP, computer vision, and prediction models for business-critical challenges. Provide technical leadership, mentorship, strategic direction, and cross-functional collaboration while driving innovation and translating research into measurable business impact.

Own strategy, roadmap, and execution for applied AI products. Identify high-value workflows, define requirements and evaluation standards, partner with engineering and AI teams on LLM systems, monitor product quality and business impact, and support responsible deployment across legal, security, compliance, sales, support, and marketing.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, product judgment, AI product development, customer discovery, evaluation, fundraising support, and eventual technical team building. The role requires shipping reliable AI products to real users, applying frontier models and agentic architectures, translating ambiguous ideas into executable specifications, and committing full-time and exclusively as a founder-level partner.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, product judgment, AI product development, customer discovery, evaluation, fundraising support, and eventual technical team building. The role requires shipping trustworthy AI products to real users, applying frontier models and agentic systems pragmatically, and committing full-time and exclusively to the venture in exchange for founder-level equity and authority.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, AI product development, customer discovery, product validation, fundraising support, and eventual technical team building. The role requires shipping reliable AI products to real users, designing maintainable LLM and agentic systems, translating ambiguous requirements into executable specifications, and committing full-time and exclusively as a founder.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, product development, customer discovery, verification, fundraising support, and eventual technical team building. Build maintainable AI and agentic systems that solve real customer workflows, prioritizing traction before scale. This is a full-time, exclusive founder partnership with meaningful equity and authority across product, technology, hiring, fundraising, and strategy.