Top Artificial Intelligence Jobs

Build and scale AI-ready data platforms for biotherapeutics research. Develop data products, machine learning and agentic AI pipelines, integrate public and proprietary datasets, and improve data governance, metadata, storage, visualization, and analysis. Collaborate with scientists, external companies, and academic institutions while supporting platform adoption through training and workshops. Publish and present scientific work and take solutions from prototype to production.

Leads Pfizer’s US Commercial AI portfolio governance, value realization, and operating model. Establishes federated build standards, intake processes, shared registries, controls, prioritization frameworks, and responsible AI requirements. Partners with executive stakeholders across technology, data, legal, privacy, compliance, and security to assess platforms, manage dependencies, guide investment decisions, and scale agentic AI. Builds and leads a cross-functional team while embedding AI-first practices across Commercial and the Chief Marketing Office.

Leads Dynatrace’s enterprise AI strategy, roadmap, governance, and value realization across global business functions. Evaluates AI technologies, vendors, platforms, and build-buy-partner decisions; establishes responsible AI policies and risk controls; and builds AI enablement programs and a Center of Excellence. Advises executives, measures productivity and ROI, drives organizational adoption, and guides enterprise AI architecture and deployment reliability.

Leads and develops a team building AI enablement tools, developer tooling, reusable accelerators, automation, and shared engineering systems. Remains hands-on with coding, code review, prototyping, and AI-assisted development. Drives production adoption of AI through evaluation, governance, observability, resilience, and operational best practices. Establishes ownership in ambiguous environments and influences architecture, strategy, and infrastructure investment across engineering, security, product, and leadership teams.

Leads and mentors an engineering team building AI enablement platforms, developer tooling, automation, reusable accelerators, and shared engineering systems. The role remains hands-on with coding, code review, prototyping, architecture, production AI adoption, evaluation, governance, observability, resilience, and operational improvement. It partners across engineering, security, product, and leadership to define ownership, strategy, infrastructure investment, and measurable adoption outcomes.

Design, develop, deploy, and scale enterprise AI products, agents, automations, and intelligent workflows for the People Organization. Build multi-agent systems integrating Workday, ServiceNow, Microsoft Copilot, and other enterprise platforms through APIs and event-driven architectures. Apply HR domain expertise to employee lifecycle processes, ensure secure and responsible AI governance, and implement monitoring, testing, observability, and evaluation frameworks. Partner with business and technology leaders to prototype AI solutions and drive adoption and measurable workforce transformation.

Leads architecture and development of scalable, AI-powered travel experiences. Responsibilities include high-level system design, cross-service integration, AI/ML adoption, agentic AI development, feedback and evaluation pipelines, operational excellence, incident response, technical vision, and mentoring engineers. The role requires driving reliable production systems, model governance, safety, observability, and continuous improvement across teams and domains.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Lead technical customer engagements to design, integrate, and launch AI-driven solutions on the Moveworks Platform. Build secure integrations (APIs, iPaaS, serverless), advise on agentic AI roadmaps, drive adoption across enterprise customers, and feed product/engineering with field feedback. Travel to customer sites up to 25% and generalize solutions into reusable templates.

Lead Microsoft Dynamics 365 CRM implementations, architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality and post-go-live support, and drive innovation and continuous improvement.

Lead design and delivery of AI-driven P&C insurance operations solutions: analyze client needs, architect and implement AI/software solutions, manage projects and budgets, coach teams, train clients, ensure adoption, and maintain standards, governance, and evaluation practices to drive operational efficiency and innovation.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Leads and mentors an SDET team while remaining hands-on with test frameworks, automation, tooling, debugging, and code reviews. Owns functional, performance, contract, and chaos testing strategy for large-scale distributed AI security services. Establishes CI/CD quality gates, improves observability and resilience, partners with engineering and product teams, manages planning and delivery, and recruits and develops engineering talent. The role also uses AI-powered tools to improve testing efficiency.

Designs, develops, tests, deploys, documents, maintains, and debugs scalable production software. Serves as technical owner for complex services, collaborates with product and platform teams, translates business requirements into technical solutions, and mentors engineers while balancing quality, performance, and risk.

Lead the development of AI-driven test automation frameworks for cloud-native systems, focusing on quality engineering and mentoring.

Lead enterprise strategy and architecture to make data AI- and agent-ready. Define standards for metadata, semantic layers, governance, RAG/vector retrieval, agent orchestration, APIs, and DevSecOps to embed Agentic AI across data engineering and platforms while influencing stakeholders and driving adoption.

Build secure, scalable platforms and automation for cybersecurity operations, including threat hunting, incident response, PSIRT, product security, vulnerability management, and analyst workflows. Develop LLM-powered agents, integrate SIEM, SOAR, cloud, endpoint, ticketing, and scanning systems, and process high-volume security telemetry. Partner with security teams to automate investigations, enrich alerts, prioritize risks, track remediation, and deliver reliable production services.

Build and productionize agentic AI systems—agent orchestration, sandboxed execution, latency optimization, agent memory, LLM self-reflection, and multimodal I/O. Collaborate with ML, security, product, and UX teams, mentor peers, and deliver production-grade, scalable code to improve the Moveworks AI Assistant platform.

Build and productionize reliable agentic AI systems: orchestration, sandboxed execution, latency optimization, agent memory, LLM self-reflection, simulated execution environments, and multimodal I/O. Collaborate across ML, security, product, and UX teams, mentor engineers, and ship production-grade code at scale.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

The Sr Product Manager, AI Lead to Cash is responsible for AI strategy, product development, and cross-functional collaboration to enhance revenue processes.

Build and productionize applied AI/ML systems (predictive ordering and agentic copilots) end-to-end, drive measurable business KPI impact, collaborate with product/engineering, implement model-ops, observability, HITL workflows, and mentor peers.

Own end-to-end delivery of core product features, build AI/ML pipelines for construction document and drawing analysis, and shape scalable frontend, backend, and ML architecture. Collaborate with co-founders and construction users, translate workflow needs into product improvements, establish engineering practices, and help grow the team. The role spans computer vision, LLM systems, frontend, backend, and production infrastructure in a fast-moving startup environment.

Principal Engineer responsible for driving the technical direction of ServiceNow’s conversational analytics products. The role builds cloud-based AI/ML solutions, develops prototypes, owns software delivery, and collaborates with engineering, product, and leadership. Responsibilities include designing agentic analytics capabilities, integrating semantic layers and knowledge graphs, improving accuracy through evaluation frameworks, and coaching engineers. Strong communication, customer focus, and expertise in large-scale software systems, AI-native development, analytics platforms, and natural-language querying are required.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.