Top Artificial Intelligence Jobs

Leads architecture governance programs across Corporate Data and Analytics Services. Responsibilities include managing Architecture Review Board operations, coordinating compliance and design controls, tracking OKRs, driving engineering standards and AI adoption, managing risks and dependencies, and communicating decisions and status to technology leadership. The role also owns stakeholder coordination, audit readiness, continuous improvement, and AI-assisted program management workflows.

Leads global network infrastructure engineering across campus and WAN environments, with deep expertise in enterprise wireless design, deployment, troubleshooting, and performance optimization. Analyzes complex infrastructure issues, architects modernization initiatives, drives multiple programs, advises senior leaders, and ensures compliance, resiliency, security, and auditability. Promotes validated AI-assisted practices for infrastructure analysis, automation, documentation, and incident prevention.

Own the vision, strategy, roadmap, backlog, metrics, and end-to-end delivery of enterprise contact center capabilities. Integrate Amazon Connect workflows with business applications, lead discovery and stakeholder alignment, manage product readiness and adoption, and ensure secure, reliable, measurable outcomes across engineering, operations, risk, and business teams.

Owns go-to-market strategy and commercialization for an AI-powered cash forecasting and analytics product. Leads executive client engagements, demos, seminars, and conferences; translates client feedback into product requirements; partners with sales to drive adoption, pipeline, and monetization; tracks growth metrics; and develops a high-performing client-facing team.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Leads consolidated financial and KPI reporting, budgeting, forecasting, long-range planning, data certification, KPI governance, and executive reporting across multiple wealth business units. Reconciles management reporting to the general ledger, establishes consistent data standards, evaluates planning and BI tools, develops the reporting team, partners with business-unit leaders, and supports Board reporting, M&A diligence, and acquisition integration.

Own consolidated financial and KPI reporting, budgeting, forecasting, long-range planning, data certification, KPI governance, and executive reporting across multiple wealth business units. Lead reconciliation to the general ledger, standardize reporting processes, evaluate planning and BI tools, develop the consolidation team, and partner with finance, data, technology, and operations leaders. Support Board, lender, sponsor, and M&A reporting while improving data quality and automation.

Lead independent oversight of operational, technology, and cyber risks for AI and machine learning platforms and use cases. Assess threat exposures, analyze emerging risks and related events, challenge first-line mitigation strategies, evaluate controls, and collaborate with technology, risk, and corporate-function stakeholders to support resilient and responsible AI adoption.

Leads and scales Capco’s cybersecurity and AI practice for financial services clients. Responsibilities include defining Cyber AI strategy, developing offerings and reference architectures, leading complex security engagements, building executive client relationships, driving business development, closing deals, and developing high-performing teams.

Manage strategic State, Local Government, and Education accounts across Minnesota. Build executive relationships, develop account plans, identify technology challenges, lead complex consultative sales, coordinate internal and partner teams, manage pipeline and forecasting, and promote AI infrastructure, cloud, cybersecurity, networking, data center, and digital transformation solutions through workshops, demonstrations, and proof-of-concepts.

Leads the Machine Learning Sciences team applying machine learning to ADMET/PK prediction and small-molecule design. Sets scientific strategy, manages and mentors scientists, partners with computational scientists and drug discovery functions, improves model predictivity through validation against experimental data, evaluates emerging methods and technologies, and communicates strategy and results to senior leadership.

Leads enterprise-wide process transformation and strategic initiatives, including roadmap development, governance, workflow redesign, operating model improvement, value realization, and change management. Partners with executives and cross-functional teams to simplify processes, improve productivity, implement digital and AI capabilities, and deliver measurable business outcomes. Builds high-performing teams, drives adoption, manages risks and dependencies, and advances operational excellence across a matrixed organization.

Own the roadmap, requirements, timelines, and execution for consumer applications. Partner with executive, engineering, machine learning, frontend, backend, and UI/UX teams to define and launch features. Analyze user data and feedback, establish KPIs, improve engagement, track delivery and engineering velocity, communicate product benefits, and drive continuous product improvement while maintaining security and information-protection practices.

Supports marketing campaigns through research, audience feedback, data collection, campaign performance analysis, reporting, and presentation development. Collaborates across teams and with Business Development to build brand awareness and marketing strategies. Manages projects, oversees marketing material design and graphics, communicates product value, and maintains attention to data protection policies and industry practices.

Supports Deploy’s media and sports business by analyzing offerings, metrics, priorities, and commercialization strategies. Manages client project delivery, bridges clients with product and engineering teams, develops presentations and deal documents, and advises on AI-powered solutions. The role also contributes to client growth, industry awareness, and collaboration with machine learning teams while managing multiple priorities.

Manage business operations, reporting and productivity metrics, process and systems improvements, risk and security coordination, and client project execution. The role partners with executives, business teams, and engineering while supporting company growth in a dynamic AI startup environment.

Develop and manage enterprise sales opportunities for AI and cloud-based software products. Responsibilities include researching markets, generating leads, managing complex sales cycles from prospecting through onboarding, nurturing client relationships, hosting events, maintaining HubSpot CRM data, providing product feedback, and meeting or exceeding sales quotas.

Own the full enterprise sales cycle for Media & Sports accounts, from prospecting and market analysis through negotiation and closing. Build sales pipelines, expand existing accounts, host client events, maintain HubSpot CRM data, achieve quotas, and provide market feedback to product and engineering teams. The role requires strong relationship-building, quantitative analysis, communication, organization, and interest in AI and machine learning.

The Client Solutions Associate manages client relationships and project delivery for AI-powered products. Responsibilities include addressing business needs, advising on technical solutions, coordinating with machine learning and engineering teams, resolving delivery challenges, supporting sales initiatives, and managing multiple client projects. The role requires a technical background, consulting or business development experience, strong quantitative and communication skills, and the ability to work independently in a fast-paced environment.

Own product execution for Deploy Data, from customer discovery and requirements through delivery and iteration. Partner with engineering, design, sales, and leadership to prioritize work, decompose complex projects, manage timelines, resolve blockers, communicate risks, and improve delivery practices. The role focuses on enterprise data-labeling tools supporting AI and machine learning products, with emphasis on technical judgment, quantitative decision-making, security, and continuous product improvement.

Prospects and engages strategic enterprise accounts through targeted outreach, market research, and stakeholder management. Partners with Account Executives to support complex sales cycles from discovery through onboarding, develops expertise in AI and machine learning products, tracks sales metrics, and communicates customer feedback to Product. The role requires strong analytical, communication, organizational, and relationship-building skills.

Manage the full enterprise sales cycle, from prospecting and market research through negotiation, closing, and onboarding. Build and maintain client relationships, develop sales opportunities, host events, manage CRM data, meet revenue quotas, and provide market feedback to product and engineering teams. The role requires selling cloud-based software, collaborating with leadership, analyzing markets and demand-generation metrics, and supporting growth across existing and prospective accounts.

Conduct due diligence and corporate intelligence investigations using public records, court systems, corporate registries, and open-source resources. Identify risk indicators, discrepancies, patterns, and investigative leads; produce accurate, decision-ready research within deadlines; and collaborate remotely with the Alias team. Analysts work independently on assignments and must maintain strong investigative judgment, analytical ability, written communication, source verification, and attention to detail.

The Enterprise Account Executive will generate and manage enterprise sales opportunities, analyze target markets, build customer relationships, host events, and manage complex sales cycles from lead generation through onboarding. The role involves negotiating deals, maintaining opportunity data in HubSpot, meeting sales quotas, collaborating with senior leadership, and providing customer and market feedback to engineering and product teams.

Provides enterprise-wide financial leadership across real estate and operating businesses. Oversees accounting, reporting, treasury, FP&A, insurance, risk management, budgeting, forecasting, controls, liquidity, capital allocation, and business-unit performance. Leads finance modernization through systems integration, automation, standardized processes, and improved data visibility. Partners with executive and operating leaders on strategy, acquisitions, financing, project profitability, and organizational scalability while developing finance leaders and maintaining strong financial governance.