Top Artificial Intelligence Jobs

Designs and leads enterprise AI architectures from proof of concept through production, including data ingestion, model training, LLM/RAG pipelines, agentic workflows, deployment, monitoring, and lifecycle management. Evaluates AI technologies, establishes strategy and standards, develops low-code and no-code automation layers, builds MVPs, and coordinates with executive, data science, IT, service tower, vendor, and consulting stakeholders. The hybrid role requires up to 20% domestic travel and U.S. Person status for export-control compliance.

Clean, repair, troubleshoot, rebuild, and test semiconductor equipment subassemblies. Maintain accurate equipment-tracking records, develop technical procedures, perform failure analysis, and prepare reports for underperforming subassemblies. Follow safety requirements, including PPE, lockout/tagout, and chemical safety protocols, while using AI to improve execution speed.

Leads venture investment sourcing, evaluation, diligence, and execution across Seed through Series B. Drives company-wide AI and machine learning initiatives, maintains portfolio relationships, and develops executive, Board, and Investment Committee recommendations. The role requires technical fluency in AI or semiconductors, financial acumen, senior stakeholder influence, strategic judgment, team mentorship, and the ability to operate effectively in ambiguous, fast-paced environments.

Owns major product roadmap components and strategic initiatives for software applications. Defines product outcomes, writes epics, features, and user stories, partners with engineering and UX, leads Agile delivery, coordinates client support, manages release plans, develops training and support materials, and applies user acceptance testing and AI/ML workflow knowledge.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Supports financial crimes consulting engagements through research, data gathering, transaction and control analysis, regulatory risk assessment, and project coordination. Uses data analytics and AI tools to organize findings and prepare draft deliverables, presentations, status updates, and client discussion materials. Collaborates with project teams, tracks deliverables, reviews case documentation, and applies feedback while developing financial crimes compliance, risk management, and advisory skills.

Advise clients on privacy, data protection, and responsible AI requirements. Evaluate AI systems for fairness, transparency, safety, privacy, accountability, and third-party risk. Develop governance operating models, policies, risk-tiering approaches, controls, impact assessments, and client deliverables. Interpret regulatory changes, support breach investigations, collaborate with legal, compliance, cybersecurity, data, and technology teams, and mentor junior staff. Apply technical literacy in AI/ML, GenAI, software development, technical architecture, and Python.

Leads Card customer analytics and AI strategy, overseeing analytics leaders, data scientists, and analysts. Drives GenAI, machine learning, experimentation, personalization, competitive intelligence, and forward-looking analysis across product, pricing, marketing, and servicing. Partners with business and technical stakeholders to deliver responsible solutions from concept through production, while building organizational capabilities, developing talent, and influencing executive decisions.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Own strategic technology partnerships from identification and business-case development through technical scoping, contract negotiation, integration, and go-to-market launch. Collaborate with Product, Engineering, Legal, Finance, Marketing, Sales, and executive stakeholders to align priorities, evaluate technical fit, close complex agreements, and deliver platform adoption. The role requires technical fluency across cybersecurity, cloud infrastructure, networking, developer platforms, or AI.

Leads AI strategy, teams, and production-scale machine learning initiatives. Responsibilities include establishing MLOps practices, integrating AI technologies, guiding build-versus-buy decisions, delivering intelligent solutions, implementing governance and responsible AI, and driving adoption across products and enterprise platforms. The role requires cross-functional leadership, technical expertise in machine learning and advanced AI methods, stakeholder influence, mentoring, and delivery of measurable business outcomes.

Leads multiple product squads across experience delivery, owning team direction, staffing, delivery quality, evidence-based discovery, launch readiness, and post-launch outcomes. Manages hiring, coaching, performance, capacity, and development of individual contributors into leaders. Partners with Product Strategy, Engineering, Design, Platform, and Marketing while maintaining craft standards, acceptance criteria, instrumentation, and responsible AI practices.

Leads data ownership and governance for data products, defining metadata, quality, controls, integration, and risk mitigation. Partners with business, analytics, technology, and engineering teams to deliver curated datasets and production-ready solutions. Uses advanced SQL for validation and root-cause analysis, manages workstreams and staff, and supports analytics and machine learning use cases. Applies AI and LLM tooling to automate governance activities and maintains data integrity across regulated environments.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Supports clients through complex business and technology transformations by developing change strategies, conducting stakeholder and readiness assessments, creating communications and training, facilitating workshops, managing resistance, and tracking adoption outcomes. The consultant partners with leaders, project teams, and subject matter experts across initiatives such as digital implementations, operating model changes, organizational redesign, and workforce transformation.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Leads a regional CRM sales organization focused on new business growth, territory strategy, pipeline generation, forecasting, quota achievement, and customer expansion. Recruits, coaches, and manages Sales Executives while partnering with Sales Operations, Marketing, Professional Services, Solution Consulting, business units, and partners. Builds executive-level customer relationships, supports opportunity development and closing, and drives strategic sales execution across the manufacturing sector.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Leads a data science team within wealth management, delivering analytics, machine learning, experimentation, and AI solutions that improve client outcomes, product performance, and operational efficiency. Partners with product, strategy, and operations leaders to define problems, metrics, and recommendations. Oversees modeling, client behavior analysis, experimentation frameworks, executive communication, and AI use-case development while coaching team members and managing performance.

The GRC Analyst manages third-party risk assessments, vendor due diligence, security policies, risk analysis, internal audits, and SOC 2 audit support. The role involves maintaining the GRC program, tracking findings, coordinating stakeholders, promoting security awareness, and using AI and machine learning to automate compliance processes. Candidates should have 1–2+ years of relevant experience, strong communication skills, and familiarity with risk methodologies, vendor assessments, policies, and compliance audits.

Defines conceptual, logical, and physical data architectures for wealth management data products. Owns data models, taxonomies, metadata, semantic layers, canonical concepts, governance standards, and schema-evolution patterns. Partners with business and engineering stakeholders to deliver scalable, analytics- and AI-ready data solutions across warehouses, lakehouses, APIs, and BI platforms. Applies automation to improve metadata generation and documentation while ensuring controls, versioning, interoperability, privacy, and sustainable architecture evolution.

Supports product roadmaps and feature prioritization for BlackRock’s Aladdin investment platform. Partners with engineering and data teams to deliver AI-powered solutions, enterprise chatbots, automation, and scalable operating models. Conducts user discovery, translates stakeholder needs into product priorities, develops dashboards and reporting frameworks, and promotes quality, reliability, and compliance across product delivery. The role requires strong analytical, technical communication, and cross-functional collaboration skills.

Leads the architecture, technical delivery, integrations, data foundation, reliability, compliance, and continuous improvement of Coupa’s revenue systems stack. Establishes platform standards, roadmaps, automation and AI capabilities, change controls, and incident management practices. Partners with IT, Information Security, Procurement, Finance, and vendors; evaluates and consolidates platforms; and oversees technical delivery across Salesforce and other go-to-market systems.

Leads data, model, and AI risk management for a retail bank. Develops risk frameworks, controls, oversight processes, and mitigation strategies across data quality, lineage, AI usage, cybersecurity, and technology risk. Advises stakeholders, reports risks to senior management, monitors AI lifecycle risks, drives program enhancements, and builds a high-performing risk team.

Develop and maintain ticketing and provisioning applications for Customer Experience Operations. Responsibilities include designing APIs, optimizing routing and case management systems, extracting data from SQL Server and AWS Athena, maintaining CI/CD pipelines, documenting technical workflows, and identifying AI automation opportunities. The role requires collaboration with stakeholders and full-lifecycle application development experience.