Top Artificial Intelligence Jobs

Leads the strategy, roadmap, governance, and operating rhythms for People programs, systems, analytics, and responsible AI. Oversees a small team, HR technology integrations, data quality, workforce reporting, employee lifecycle processes, change management, vendors, and cross-functional programs. Translates workforce data into executive insights and scalable recommendations while improving employee support, operational efficiency, governance, and responsible AI adoption.

Lead the architecture, development, deployment, and operation of enterprise AI/ML solutions for wholesale payments. Build production systems involving NLP, document AI, OCR, LLMs, RAG, and fine-tuning on AWS. Establish scalable data pipelines, MLOps, model governance, monitoring, and responsible AI practices. Partner with senior stakeholders, define roadmaps and success metrics, improve engineering standards, conduct technical reviews, and mentor engineers.

Supports daily trading operations from trade execution through settlement, reconciles accounts, resolves discrepancies, prepares management reports, and ensures regulatory compliance. The role also drives process improvements, supports strategic initiatives, collaborates with traders and stakeholders, and assists with training junior team members. Strong analytical, communication, organizational, and financial markets knowledge are required, along with proficiency in Excel, trading platforms, and related systems.

Lead the design, development, and adoption of production-grade AI systems within a strategic business domain. Define AI roadmaps, identify high-impact opportunities, make architecture decisions, establish evaluation and observability practices, measure business impact, mentor engineers, and drive AI transformation across cross-functional teams. The role focuses on LLMs, RAG, AI agents, scalable infrastructure, and reliable enterprise AI products.

The AI Analyst Co-op will use Python, HTML, SQL, APIs, and AI tools to generate scalable insights for go-to-market teams. Responsibilities include personalizing BDR outreach by buyer persona, distributing market insights across sales, marketing, and partner resources, and collaborating with Platform Advisory. The role requires strong analytical skills, attention to detail, problem-solving persistence, and an understanding of technology’s role in improving operational efficiency.

Owns the enterprise AI engineering foundation, including shared AI platforms, semantic routing, model hosting, gateways, operations, agentic pipelines, and multi-agent orchestration. The role establishes architecture and standards, delivers secure production AI services, develops evaluation and governance capabilities, manages AI economics, prototypes emerging technologies, mentors senior engineers, and partners with security, risk, compliance, and data governance teams in a regulated financial and healthcare benefits environment.

Provide in-house legal support focusing on commercial contracting, privacy/HIPAA compliance, and emerging AI regulatory issues. Draft, negotiate, and maintain NDAs, MSAs, SOWs, BAAs, and vendor agreements; build templates and playbooks; support corporate governance and compliance; coordinate with outside counsel and conduct legal research to advise business teams.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Manage and enable channel partners across the Mid-Atlantic territory. Responsibilities include developing partner and account plans, growing and forecasting pipeline, recruiting partners, driving bookings, leading joint sales strategies, enabling partner teams, tracking performance, coordinating marketing activities, and identifying growth opportunities. The role requires extensive channel management experience, quota achievement, technical and business presentation skills, independent remote work, and travel exceeding 50%.

Develop and deploy motion planning software for autonomous trucks. Own features end-to-end, from design and integration through testing and validation, while solving complex vehicle-behavior challenges. Build high-performance modern C++ and Python for resource-constrained platforms, collaborate across autonomy and systems teams, shape architecture and roadmaps, and use simulation and unit testing to ensure safe, reliable trajectories.

Leads the Price Forecasting Center of Excellence, focusing on gross-to-net forecasting, forecasting system transformation, advanced analytics, and AI-enabled capabilities. Translates business requirements into technical specifications, defines reporting and dashboard needs, supports testing and validation, resolves model and data issues, coordinates parallel testing and go-live activities, and delivers training. Partners across pricing, finance, accounting, market access, commercial, and technology teams to improve forecasting accuracy, efficiency, and decision-making.

Develop AI and machine learning systems for autonomous space and vehicle operations. Build planning, scheduling, resource allocation, constraint-solving, optimization, and execution algorithms. Develop deep learning and large-model pipelines for remote-sensing imagery interpretation, including training, deployment, compression, evaluation, and testing of VLMs, LLMs, and foundation models. Support automation of spacecraft, aerial, marine, and communications missions.

Produces large-scale product experiences, events, demonstrations, and activations for Meta. Responsibilities include managing timelines, budgets, vendors, agencies, production builds, staffing, technology, logistics, and onsite troubleshooting. The role collaborates with marketing, product, creative, engineering, and executive stakeholders while supporting strategic measurement, reporting, and scalable event processes. It requires experience with complex global events and technology-driven experiences involving AI, VR, AR, XR, and wearables.

Build and lead Cognition’s analyst relations program, managing Gartner, Forrester, IDC, and boutique analyst relationships. Own briefing calendars, Magic Quadrant and evaluation submissions, RFI strategy, customer references, stakeholder preparation, and analyst insights for Sales and Marketing. Develop strategic narratives that clearly position Devin and communicate its value to enterprise buyers.

Leads the vision, strategy, roadmap, and reinvention of Elliptic’s compliance product portfolio, including screening, monitoring, investigations, risk configuration, and agentic AI capabilities. Manages and develops product managers while personally owning complex product challenges. Requires deep financial crime compliance product expertise, blockchain knowledge, AI product delivery experience, strong execution, customer focus, data-driven judgment, and experience operating in regulated environments.

Lead Elliptic’s compliance product portfolio, including screening, monitoring, investigations, risk configuration, and agentic AI capabilities. Own product vision, strategy, roadmap, prioritization, customer discovery, and execution while managing and developing product managers. The role requires building zero-to-one software products in financial crime compliance, applying blockchain and AI expertise, and operating with rigor in regulated, high-stakes environments.

Develops data-driven solutions for sustainment and defense clients by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Builds predictive models, algorithms, and quantitative analyses using R or Python, machine learning, artificial intelligence, and natural language processing. The role applies data science to reliability, logistics, maintenance, and combat-system datasets and requires Secret clearance.

Own full-cycle recruiting for technical and cross-functional roles, partnering with hiring managers and leadership. Build proactive sourcing strategies, use AI tools for recruiting, manage funnel metrics and Ashby data integrity, lead offer negotiations, and advise on market conditions, compensation, hiring expectations, and close plans. The role requires strong talent judgment, high ownership, urgency, and experience hiring in competitive startup environments.

Conduct independent research in economic entomology and ecological pest management across diverse agricultural systems. Develop and validate digital agriculture, AI, predictive modeling, and decision-support tools for pest management under weather and climate variability. Publish findings, present to scientific and stakeholder audiences, collaborate with growers and interdisciplinary teams, contribute to grant proposals and reporting, and mentor research personnel.

Provide strategic legal guidance on global privacy, cybersecurity, emerging AI laws, data governance, compliance, and risk. Advise business partners, enhance enterprise privacy programs, support privacy and data security due diligence, counsel technology product development and commercial operations, and assist with commercial contracting. The role requires translating complex regulatory requirements into practical business guidance and managing sensitive matters with sound judgment.

Leads complex technical programs spanning software releases, hardware co-design, AI automation, and enterprise storage platforms. Coordinates Engineering, Product, Security, Supply Chain, and Field teams; manages dependencies, risks, release governance, PLC reviews, CapEx budgets, and program health metrics. Uses AI-enabled tools and analytics to forecast risks, improve release velocity, resolve architectural issues, and maintain platform reliability and zero-downtime objectives.

Leads IT operations, infrastructure, cloud services, business applications, Salesforce administration, end-user support, security, vendors, budgets, and IT staff. Identifies and implements AI, automation, and process-improvement solutions while ensuring reliable systems, data protection, disaster recovery, and effective technology alignment with business goals.

Supports NGA’s Maven program by acquiring, curating, transforming, cleaning, and analyzing complex geospatial datasets for AI/ML model development. Uses Python, JSON, XML, quantitative methods, and visualization to identify patterns, resolve inconsistencies, and produce reliable data foundations. The role also requires communicating technical findings, assumptions, limitations, and conclusions, with preferred experience in NLP, computer vision, data standardization, and advanced statistical modeling.

Lead Anthropic’s corporate development initiatives, including acquisitions, acquihires, strategic partnerships, due diligence, negotiations, valuation, and post-transaction integration. Partner with product, engineering, research, legal, and finance teams to evaluate technical opportunities, build AI ecosystem relationships, conduct market analysis, and present recommendations to executive leadership and the board.

Lead the vision, strategy, and roadmap for ADAPT, a roadway and right-of-way asset management platform for public agencies. Partner with engineering, design, data science, and go-to-market teams to deliver reliable, customer-focused features, including AI capabilities. Define product quality standards, metrics, enterprise requirements, and launch strategies while validating solutions with clients and balancing feature development with scalability, security, and reliability.