Top Artificial Intelligence Jobs

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.

Lead Model Based Systems Engineering initiatives across programs, applying MBSE processes, SysML, UML, UAF, MagicDraw, and Cameo. Guide total MBSE development activities, develop modeling strategies, solve complex engineering problems, and collaborate with leadership and project teams. Contribute to training materials, engineering best practices, Agile-MBSE adoption, digital engineering solutions, and the transition to a cloud-based digital enterprise.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insurance operations. Complete training, mentorship, and rotational assignments while developing strategic, technical, analytical, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies to generate business insights.

Leads high-priority strategy initiatives focused on AI and data in financial services. Develops executive-level analyses and strategy materials, monitors industry trends, evaluates firmwide priorities, leads cross-functional project teams, aligns stakeholders, and coaches strategy team members.

Lead AI integration across People & Culture by building data foundations, deploying AI capabilities and workflows, managing cross-functional AI initiatives, driving adoption and measurable impact, and transforming HR service delivery, hiring, and internal storytelling. Operate as a strategic player/coach, prioritizing execution and scaling enterprise AI solutions.

Own and advance Zscaler’s global go-to-market onboarding program for Account Executives, SDRs, and Partner Sellers. Design cohort-based, self-paced, and AI-driven learning experiences; facilitate global sessions; coach subject matter experts; align Sales, Operations, Product Marketing, People, and Enablement; and measure ramp effectiveness through metrics such as time to first deal and pipeline velocity.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead technical reviews, and mentor senior engineering leaders while applying emerging research responsibly in production.

Leads an AI/ML engineering team responsible for enterprise connectors, plugins, MCP servers, and integrations across Microsoft, OpenAI, Anthropic, and Google platforms. Oversees team development, intake, technical quality, secure configuration, governance reviews, testing, release readiness, operations, incident response, vendor partnerships, and continuous improvement. Partners with product, business, architecture, security, legal, privacy, identity, and platform teams to deliver reliable, auditable AI integration services.

Drive enterprise sales and business development across state government healthcare accounts. Build executive relationships, identify and advance opportunities, navigate public-sector procurement and funding cycles, and position healthcare data, interoperability, analytics, and AI solutions. Develop territory and account strategies, coordinate cross-functional teams and partners, manage forecasts, represent the company at industry events, and serve as a trusted advisor to government and healthcare leaders.

Leads the design and development of scalable software frameworks and secure production code. Architects enterprise AI-enabled engineering workflows, establishes responsible AI guardrails, and improves automation, testing, release readiness, and incident response. Advises cross-functional teams, influences senior stakeholders, defines target-state AI architectures, and guides roadmaps and solution architectures across Consumer and Community Banking.

Analyze customer behavior across digital and phone journeys, develop experiments and OKRs, and translate data into actionable recommendations. Partner with product, technology, design, modeling, and analytics teams to improve customer experiences and operational efficiency. Present insights to senior stakeholders, support predictive analytics and machine learning initiatives, and maintain data governance through collaboration with data owners.

Leads strategy, roadmap, architecture, and delivery for Aladdin’s Whole Portfolio technology platform. Oversees cross-functional product and engineering teams, AI-enabled product development, investment workflows, private markets capabilities, and delivery across Aladdin and eFront. Manages commitments for 75+ clients, partners with business development and client teams to support revenue goals, and mentors product managers. Requires deep expertise in investment technology, private markets, front-to-back workflows, and executive and client engagement.