Top Artificial Intelligence Jobs

Lead Pylon’s global Customer Success organization, owning NRR, GRR, churn, expansion, renewals, and post-sales revenue. Scale a 15+ person team across San Francisco, New York, and London by developing managers, optimizing segmentation, capacity, and sales-to-CS processes. Drive customer adoption and migration to agentic support and usage-based billing, lead internal product adoption, and represent Pylon in the broader Customer Success community.

Own strategic enterprise DSO customer relationships, driving retention, adoption, expansion, executive engagement, and account strategy. Lead cross-functional programs involving Product, Engineering, Clinical, Finance, and executives to deliver contractual commitments. Establish account plans, executive business reviews, reporting, governance, and scalable strategic account-management processes. The role requires strong enterprise SaaS relationship management, commercial fluency, program leadership, and the ability to turn around underperforming accounts.

Owns client narratives from discovery through proof of concept, translating business problems into scoped technical solutions. Leads solution design workshops, architecture reviews, RFP responses, estimates, staffing plans, demos, and partner conversations. Carries revenue accountability, supports co-selling, ensures delivery fidelity, develops reusable practice assets, mentors consultants, and builds long-term client relationships. The role requires hands-on technical delivery experience, consulting expertise, AI fluency, partner ecosystem knowledge, and travel flexibility.

Leads Solve Studio projects from approved brief through final delivery. Creates project plans, timelines, and workback schedules; coordinates teams, reviews, resources, approvals, dependencies, and status updates. Identifies risks, manages competing priorities, maintains Workfront project integrity, supports client responsiveness, and drives workflow improvements. Partners with account, creative, studio operations, technology, and production teams to improve delivery processes and integrate AI-driven tools.

Leads Vertex’s global trade compliance strategy, processes, systems, and regulatory activities across pharmaceutical supply chains and international markets. Oversees customs declarations, export controls, licensing, tariff optimization, trade agreements, compliance metrics, CAPA, and managed service providers. Partners cross-functionally with Supply Chain, Legal, Finance, Tax, Regulatory, Technology, and other stakeholders while developing high-performing global teams and scalable solutions.

Own the Falcon Writer product roadmap and deliver AI-powered authoring features for regulated life sciences content. Translate medical writing, regulatory, and clinical workflows into product requirements, collaborate with engineering and QA, define success metrics, conduct customer discovery, and ensure quality, compliance, and human-review safeguards for AI-generated documents.

Own the Falcon Writer AI authoring product for regulated life sciences content. Define features, requirements, quality controls, metrics, and roadmap priorities while partnering with engineering, QA, project management, and customers. Build expertise in medical writing, regulatory, and clinical workflows; lead customer discovery; evaluate AI use cases, guardrails, verification, and human review; and ensure product adoption, quality, and delivery success.

Leads firmwide adoption of AI tools in partnership with attorneys and paralegals. Translates legal workflows into scalable AI solutions, manages platform configuration, supports AI governance and risk practices, and develops communications and training programs. The role requires hands-on AI platform expertise, strong project management, legal workflow knowledge, stakeholder collaboration, and the ability to identify and address risks in AI-enabled legal work.

Own and expand strategic buyer partnerships for AssetHub across AI labs, RL environment builders, data vendors, labeling firms, and enterprise AI teams. Originate demand, structure and negotiate licensing agreements, close recurring commercial deals, and translate buyer needs into asset sourcing and packaging. The role also develops scalable partnership processes, pipeline infrastructure, and commercial strategy while engaging senior technical and business stakeholders in the AI ecosystem.

The Corporate Controller will lead a global accounting organization, ensuring predictable monthly, quarterly, and annual closes, accurate financial reporting, strong controls, documented accounting policies, audit readiness, and risk management. The role partners with Commercial, Legal, Tax, Treasury, Operations, and Strategic Finance, while scaling teams, systems, and processes through rapid growth. Responsibilities include accounting policy across revenue, inventory, leases, equity, debt, and foreign currency, plus replacing manual work with ERP, automation, data, and AI-enabled tools.

Assess public sector organizations, design and deliver digital solutions (data analysis, process automation, UI/UX, AI), engage stakeholders, apply transformation frameworks, and influence decisions to improve mission effectiveness.

Leads a portfolio of AI-driven workforce transformation initiatives, overseeing strategic prioritization, governance, roadmaps, financial management, risk, compliance, and value realization. Partners with executives and cross-functional stakeholders to manage delivery through waves and sprints, supports responsible AI and lifecycle oversight, coordinates vendors and enterprise platforms, and coaches project and program managers. The role requires translating complex AI, data, technology, and regulatory concepts for technical and non-technical audiences.

Leads strategy, roadmap, discovery, development, and launch of AI-native products across multiple client engagements. Owns product requirements, prioritization, release planning, client relationships, presales scoping, solution design, and executive communication. Partners with engineering, design, data science, and delivery teams to ship scalable products. Requires hands-on experience with production LLM and agentic AI products, prompting, context design, evaluation, Agile delivery, and technical product specifications.

Leads executive talent solutions for VP+ leaders, including assessment, coaching, leadership development, succession readiness, mentoring, executive education, and development planning. Manages program strategy, governance, metrics, stakeholder consultation, vendors, budgets, and continuous improvement. Applies AI-enabled tools to improve efficiency, insights, scalability, and stakeholder experience. Partners with HR, business leaders, vendors, and talent management teams in a global matrixed environment.

Tenure-track Assistant Professor responsible for teaching, conducting research, mentoring students, and providing university service. Research emphasis includes semiconductor electronics, photonics, materials, power devices, artificial intelligence, neuromorphic computing, quantum computing, and MEMS. The faculty member will develop a funded research program, collaborate across disciplines, use advanced semiconductor research infrastructure, and teach and advise undergraduate and graduate students in person.

Build end-to-end data solutions for the U.S. Space Force’s PNT SE&I team using Palantir Foundry. Responsibilities include gathering requirements, developing applications and reports, transforming and modeling data, integrating REST APIs and enterprise systems, optimizing pipelines and datasets, and providing technical support, documentation, and training. The role is onsite in El Segundo and requires an active Secret clearance plus extensive related experience.

Leads complex pre-sales technical engagements for Databricks and cloud solutions, including discovery, architecture, proof-of-concept, TCO modeling, proposals, and SOW scoping. Owns a personal sales target and pipeline while ensuring delivery fidelity. Productizes repeatable offerings, develops reference architectures and pricing models, builds partner relationships, mentors architects, applies AI tools to pre-sales workflows, and supports thought leadership and practice development.

Design, build, deploy, and scale enterprise AI and Generative AI solutions (LLM apps, RAG, agentic workflows). Develop data pipelines, MLOps/LLMOps, cloud deployments (AWS/Azure/GCP), containerized services, and retrieval architectures. Partner with stakeholders, embed responsible AI, and create reusable assets and governance controls.

Manage demand planning and forecasting for North America supply chain operations. Analyze sales trends, demand drivers, forecast accuracy, and large datasets; develop consensus forecasts across multiple time horizons; coordinate with sales, marketing, finance, supply planning, customers, and global teams; support inventory strategies, S&OP, risk mitigation, process automation, and AI-enabled forecasting improvements.

Summer 2027 software engineering internship supporting AI/ML, big data, and cloud projects. The intern will collaborate with scientists, engineers, and project managers to develop, integrate, and deploy production-grade solutions in an agile, mission-oriented environment. Responsibilities include working with real-world datasets, enterprise-scale systems, multiple software components, and operational end users.

Lead the productization roadmap for Analog Devices’ Physical Intelligence software stack. Define strategy, requirements, architecture, and customer solutions for scalable AI products, SDKs, developer tools, and simulation environments. Drive rapid prototypes and proof-of-concepts, integrate offerings with industry ecosystems, and align research, engineering, business units, and field teams. The role requires deep expertise in physical AI, edge AI, robotics, and technical product commercialization, with responsibility for transforming complex hardware and software solutions into market-ready products.

Build and operate generative AI applications using .NET/C# or Java, Python, LLM APIs, RAG, and agentic workflows. Develop prompts, tools, and AI application logic; create GitHub Actions CI/CD pipelines; automate AWS infrastructure with Terraform; and deploy containerized services on Kubernetes and Amazon EKS. Monitor production systems, troubleshoot incidents, improve security and observability, and collaborate with engineering and business teams.

Build and deploy generative AI applications and multi-agent systems on Google Cloud using Vertex AI, Python, BigQuery, RAG, and secure enterprise data integrations. Develop data pipelines, train and serve models, evaluate AI output, protect sensitive information, troubleshoot production systems, and collaborate with technical and business stakeholders.

Leads the design, evaluation, deployment, and monitoring of production AI systems across generative AI, agentic AI, computer vision, forecasting, and optimization. Establishes rigorous metrics for accuracy, uncertainty, bias, hallucinations, drift, explainability, and failure modes; conducts experiments and communicates business impact, risks, and trade-offs. Builds solutions using foundation models, RAG, agentic workflows, unstructured data, and MLOps practices.

The Systems Engineer III develops and sustains aerospace and electronics products through systems architecture, requirements definition, validation, verification, modeling, simulation, and technical analysis. The role applies systems engineering processes and aerospace standards, collaborates with engineering and operations teams, supports product performance and cost goals, investigates root causes, produces technical documentation, and manages work against project schedules and budgets. Occasional domestic and international travel supports customer meetings, design reviews, testing, and technical seminars.