Top Artificial Intelligence Jobs

Lead enterprise technology strategy and modernization for a rapidly growing, distributed organization. Responsibilities include architecture, cloud, infrastructure, cybersecurity, data, applications, integrations, vendor management, technology governance, business continuity, and digital innovation. The executive will align technology investments with business objectives, lead transformation using Agile and potentially Scrum, establish KPIs, manage significant budgets, and build a high-performing technology organization supporting operational efficiency, customer experience, risk management, and scalable growth.

Designs, builds, and scales enterprise GenAI and multi-agent systems using ADK and LangChain. Responsibilities include agent orchestration, tool chaining, guardrails, API and data-platform integration, real-time AI pipelines, observability, performance optimization, and production deployment. The role partners with Risk, Compliance, and Model Governance teams to meet regulatory requirements, while providing technical leadership and mentorship across AI engineering teams in a financial-services environment.

Design, build, and scale enterprise LLM-powered and agent-based systems using ADK and LangChain. Develop multi-agent orchestration, guardrails, API integrations, real-time pipelines, observability, and production deployment workflows. Partner with Risk, Compliance, and Model Governance teams on regulatory controls and validation. Provide technical leadership, mentorship, and engineering standards while optimizing AI system performance in a regulated financial-services environment.

Leads North America SMB sales managers and owns regional revenue performance. Responsibilities include sales strategy, forecasting, pipeline health, hiring, coaching, enablement, territory design, deal execution, and executive customer relationships. Partners cross-functionally to improve the customer experience and represents SMB in global planning. Requires extensive B2B technology sales leadership experience, strong SaaS selling expertise, and success scaling teams in high-growth environments.

Leads the AI-first strategy, roadmap, and lifecycle for Workday’s Spend Management ecosystem across procurement, sourcing, supplier management, accounts payable, and expenses. Partners with Finance and Procurement stakeholders, drives ERP and third-party integrations, leads agile delivery teams and vendors, influences Workday product development, and ensures automation meets compliance requirements. The role requires extensive product management, Source-to-Pay ERP, and AI/ML product-launch experience.

Owns strategy, roadmap, delivery, adoption, and value realization for Data and AI products. Partners with business stakeholders and technical teams to identify opportunities, define requirements, scale products from prototypes to production, drive user adoption, measure business outcomes, and guide continuous improvement. The role is onsite four days per week in Beachwood, Ohio, with occasional travel as needed.

Develops full-stack AI and machine learning software using Python, Java, Vue.js, Node.js, cloud platforms, databases, containers, and CI/CD practices. The role requires software engineering experience on complex programs, testing and debugging capabilities, Agile development experience, DoD8570 IAT2 compliance, and an active TS/SCI clearance with polygraph.

Ensures accurate financial reporting, journal entries, reconciliations, intercompany accounting, financial statements, variance analysis, and month-end close activities. Applies IFRS, project accounting, and advanced Excel modeling while collaborating with global teams. Champions AI, Microsoft 365, automation, Power BI, and Power Automate to improve accounting workflows, controls, data quality, reporting, and decision-making. Supports process improvements and special projects across Finance.

Own the vision, roadmap, and backlog for internal customer support tools, including an Admin Panel and Zendesk. Translate agent pain points into prioritized requirements, user stories, and AI-enabled workflows. Partner with engineering, design, support, and cross-functional teams on integrations, device diagnostics, billing tools, usability, launches, and training. Use ticket and product data to improve agent efficiency and customer issue resolution.

Leads global employee communications and engagement strategy, channels, culture initiatives, employee listening, and change communications. Advises senior executives and HR leaders, oversees editorial governance and employee experience programs, and translates engagement analytics into recommendations. Manages and develops a global communications team while advancing AI fluency, digital capabilities, employer branding, employee advocacy, and storytelling across a complex, matrixed organization.

Own enterprise new-logo acquisition from prospecting through contract close. Build pipeline, lead value-based sales cycles with senior stakeholders, deliver product demos, create proposals and forecasts, negotiate commercial terms, and maintain Salesforce pipeline hygiene. Partner with Marketing and Business Development to accelerate deals, provide market feedback, and consistently exceed revenue targets.

Manage tax compliance, planning, and advisory services for high-net-worth individuals, families, trusts, estates, charitable entities, and closely held businesses. Serve as the primary tax contact for wealth management alliances, review tax returns, supervise and develop tax professionals, manage engagement workflows, and identify planning opportunities. Use automation, AI-enabled tools, and digital platforms to improve efficiency, quality, and client service while supporting relationship growth and business development.

Leads strategic customer relationships and global cross-functional programs for AI and data center infrastructure. Translates customer requirements into product specifications, business cases, supply chain strategies, and roadmaps. Owns programs from RFQ and quoting through NPI, certification, mass production, and profitability. Manages matrix teams across multiple countries, negotiates commercial agreements and investments, oversees risks and capacity, and reports revenue, margin, ROI, and growth performance to executives.

Own organic social strategy and execution for B2B clients across LinkedIn, X, YouTube, Reddit, Discord, and other platforms. Develop content calendars, ghostwrite executive thought leadership, direct and edit video, manage communities, and translate technical ideas into engaging content. Study algorithms, use AI tools, optimize content for AI discovery, and connect social activity to lead generation and pipeline impact. Manage approvals, publishing, analytics, reporting, and cross-functional collaboration across multiple client accounts.

Leads vertical marketing strategy and execution for Socure’s Tier 1 Banking segment. Owns industry positioning, ICPs, value propositions, solution packaging, competitive messaging, campaigns, partner go-to-market strategy, and sales enablement. Partners with Product, Sales, Data Science, RevOps, and Marketing to translate AI-driven capabilities into industry narratives, generate qualified pipeline, improve win rates, and drive revenue. Tracks KPIs, analyzes campaign performance, and provides market and competitive insights.

Leads executive, commercial, and business-critical recruiting while advising senior leaders on talent strategy, market intelligence, succession needs, and hiring decisions. Builds proactive sourcing, talent mapping, and talent intelligence capabilities; advances data, analytics, AI, and recruiting technology; and improves recruiting processes and outcomes. Manages, coaches, and develops Talent Acquisition teams while leading transformation initiatives across a global organization.

Develops advanced analytics and AI-driven solutions for CVS Health’s commercial product strategy. Translates healthcare and customer data into insights supporting product design, pricing, go-to-market execution, and performance optimization. Partners with Product, Sales, Actuarial, Marketing, and Underwriting leaders to identify high-value opportunities and deliver measurable financial outcomes. The role also involves stakeholder influence, experimentation, forecasting, product lifecycle support, and mentoring junior data scientists.

Conduct competitive intelligence research and analysis for biopharma clients, using secondary data sources, conference research, and human-source elicitation. Develop actionable insights, client reports, workshop materials, and executive presentations supporting drug development and commercialization decisions. Collaborate with subject-matter experts, manage multiple client deliverables, and apply AI-enabled tools to improve insight quality and efficiency.

Leads technical workshops, coaching, demonstrations, and use-case discovery to help enterprise customers adopt AVEVA PI System infrastructure and realize business value. Advises customers on architecture, deployment options, migrations, analytics, and enterprise-wide implementation. Partners with customer success and sales teams, influences executive stakeholders, supports new business, promotes solution adoption, and mentors team members. Requires industrial operational data systems experience, strong PI System expertise, technical leadership, and travel of up to 50%.

Conduct research and prototype learning-based methods for perception, planning, and control in embodied AI and robotics. Collaborate on navigation, manipulation, orchestration, and real-world robot systems. Evaluate vision and machine learning models for robotics applications and contribute to peer-reviewed publications, patents, prototypes, and other technical outcomes.

Own the clinical and agentic AI product line from proof of concept through GxP-validated production use. Define strategy, roadmap, priorities, lifecycle gates, platform direction, governance, risk management, budgets, and vendor partnerships. Lead product owners and collaborate with clinical, engineering, IT, quality, privacy, and AI teams. Guide the CRA agent, ensuring human oversight, auditability, data access, validation evidence, and measurable clinical operations outcomes while determining appropriate governed platforms for patient-data use cases.

Build and deploy production-grade generative AI and autonomous agent applications. Responsibilities include designing agent orchestration and RAG systems, developing secure enterprise connectors, deploying cloud applications, creating evaluation and observability frameworks, and improving reliability, scalability, latency, and cost. The role translates business needs into technical roadmaps, applies AI governance and security practices, collaborates with non-technical stakeholders, and develops reusable architecture and components in a regulated energy environment.

Leads intelligence-community-wide data management programs, including data governance, metadata management, data sharing, strategic planning, stakeholder coordination, milestone and budget management, compliance monitoring, and workforce data-literacy initiatives. Requires collaboration with federal agencies, chief data officers, mission owners, and technology leaders while supporting IC acquisition processes and enterprise priorities.

Develop and integrate AI/ML capabilities for classified Battlespace C2, threat intelligence, data extraction, modeling, dashboards, and threat inject generation. Configure virtualized test environments, execute cybersecurity scans, maintain secure baselines, support RMF and ATO compliance, and perform integration and regression testing. Create technical documentation, track defects and configuration changes, and collaborate with software, systems, cybersecurity, and government stakeholders. The role requires Secret clearance with Top Secret/SCI eligibility and 5% travel.

Designs and implements Azure-based data and AI solutions for clients. Responsibilities include developing data platforms and ETL/ELT pipelines, integrating Azure AI and machine learning services, supporting solution architecture, implementing DevOps automation, ensuring governance and security, and building Power BI analytics. The consultant conducts client workshops, gathers requirements, presents solutions, mentors team members, and contributes to modern data and AI consulting engagements.