Top Artificial Intelligence Jobs

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.

Coordinate Relativity’s spaceport, launch-range, regulatory, and mission-readiness activities with engineering teams and government stakeholders including the U.S. Space Force, NASA, and FAA. Manage compliance documentation, licensing, permitting, contractual and financial obligations, operational processes, launch vehicle integration, console operations, and emergency response. Support high-cadence launch operations, improve workflows through automation and AI, and work non-standard schedules when required.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Leads engineering projects and developers building cloud-based, AI-powered risk management solutions. Designs distributed microservices and full-stack systems, establishes technical standards, partners with architects and product managers, improves system performance, reduces technical debt, and mentors engineers. The role uses AWS technologies, modern programming languages, databases, APIs, CI/CD, infrastructure as code, automated testing, and observability within Agile teams.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Leads enterprise AI tooling and security strategy, building secure cloud-native platforms and protecting AI models, agents, prompts, data, APIs, and outputs. Designs controls for identity, access, encryption, monitoring, threat detection, adversarial testing, governance, and incident response. Provides distinguished technical leadership, mentors engineers, establishes engineering standards, and partners across architecture, security, governance, risk, compliance, and business teams.

Leads the discovery, design, prototyping, deployment, adoption, and continuous improvement of AI solutions across Expedia Group. Partners with business and executive leaders to translate ambiguous challenges into measurable outcomes, establishes scalable AI and software engineering standards, evaluates models and architectures, develops reusable frameworks, and coaches senior engineers and emerging technical leaders. Ensures solutions address reliability, security, privacy, cost, observability, evaluation, responsible AI, and sustained business value.

Lead enterprise AI engagements from opportunity discovery through production deployment, adoption, measurement, and continuous improvement. Design scalable AI systems, evaluate models and agentic architectures, establish engineering and responsible AI standards, and create reusable frameworks. Partner with executives and business teams, translate ambiguous problems into measurable outcomes, influence technical direction, and coach senior engineers and emerging technical leaders.

Own the strategy, roadmap, and launch of Achieve’s enterprise data and agentic AI platforms. Lead data migrations, semantic-layer development, governed data products, agent orchestration, analytics, and AI workflows. Partner with engineering, security, risk, and compliance teams to establish scalable controls, evaluation, auditability, access, and cost management. Influence senior stakeholders, guide organizational change, and initially operate as a senior individual contributor before building a product leadership team.

Supports the COO of a global credit financing business by coordinating strategic, operational, technology, and data initiatives. Responsibilities include operational oversight, governance and controls, portfolio analytics, technology requirements and testing, executive and regulatory materials, and transaction management. The role partners across Front Office, Risk, Operations, Technology, and Finance teams to improve processes, manage facilities, support business development, and deliver scalable solutions.

Leads strategy, development, and growth of WHOOP’s healthcare product portfolio. Builds and scales the Healthcare Product team, partners with clinical, regulatory, engineering, data science, design, and commercial teams, and brings evidence-based digital health products from concept through launch. Priorities include preventive health, clinical monitoring, chronic condition management, digital biomarkers, provider solutions, regulatory requirements, clinical evidence, privacy, quality, adoption, and business performance.

Leads and scales product marketing for a legal AI platform, owning positioning, narrative, launches, pricing, packaging, enablement, competitive strategy, customer research, market intelligence, and category leadership. Partners cross-functionally with Product, Sales, Customer Success, Finance, and Marketing to drive adoption, revenue, expansion, and win rates. Builds the product marketing team and operating systems while combining strategic leadership with hands-on execution.

Design, build, optimize, and maintain scalable real-time and batch data pipelines, microservices, and cloud-based ingestion systems. Develop AWS-based data workflows, integrate APIs and databases, implement automated testing and validation, and monitor distributed systems for reliability and data quality. Translate business requirements into scalable system designs while supporting CI Autonomy and collaborating in an agile environment.

Leads AI-enabled risk modeling services, setting strategy, managing client relationships, overseeing machine learning and predictive analytics solutions, and guiding end-to-end delivery. The role includes model governance, feature engineering, performance evaluation, innovation, cross-functional collaboration, team coaching, thought leadership, and business development across risk modeling engagements.