Top Artificial Intelligence Jobs

Design and scale company-wide AI enablement initiatives, including conversational agents, workflow-embedded guidance, learning labs, tool walkthroughs, and AI champion networks. Lead People & Culture enablement, facilitate cross-functional workshops, promote responsible human-AI collaboration, and measure productivity, behavioral adoption, and business impact.

Build and maintain production LLM-based agents and automated digital customer success journeys. Analyze customer behavior, design playbooks and agent architectures, write Python integrations, create evaluation and regression tests, deploy and monitor production systems, and continuously improve performance. The role partners cross-functionally to increase product adoption, reduce churn risk, and improve retention and expansion across a high-volume B2B SaaS customer base.

Build and operate DigitalOcean’s managed agent runtime platform for secure, scalable AI coding agents and agentic workflows. Responsibilities include distributed services, agent framework integrations, control-plane APIs, execution orchestration, sandboxed environments, developer APIs, observability, reliability, and end-to-end feature ownership. The role requires extensive backend engineering experience, AI/LLM integration expertise, distributed systems knowledge, and experience with cloud infrastructure, orchestration, databases, and high-throughput APIs.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Own the strategy and operating model for self-optimizing paid marketing systems. The role connects paid-growth channels, audiences, creative, measurement, experimentation, automation, and AI agents to improve acquisition efficiency and user quality. Responsibilities include establishing experimentation workflows, interpreting geo and cohort signals, managing paid spend, improving measurement, guiding agentic infrastructure, and partnering cross-functionally with Growth, Marketing, BizOps, Strategy Finance, and Ecosystems.

Leads AI-enabled HR initiatives across recruiting, onboarding, talent management, and employee experience. Designs experiments, metrics, data pipelines, and feature sets for AI capabilities such as talent matching and case deflection. Monitors model performance, fairness, privacy, security, drift, and adoption while partnering with HR, Legal, IT, and vendors. Evaluates build-versus-buy opportunities and maintains documentation supporting transparency and reproducibility.

Commercial Counsel will own enterprise customer contracting, including MSAs, order forms, DPAs, and related addenda. The role also handles vendor and partnership agreements, builds contracting templates and workflows, advises on privacy and data protection, and partners with Product and Engineering on AI-related legal issues. The counsel will establish Edra’s commercial legal function, streamline negotiations through automation, and coordinate with outside counsel on specialized matters.

Design, develop, optimize, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, orchestration, governance, and observability. Lead cost-performance optimization across production AI platforms, establish engineering standards, contribute to technical roadmaps, lead design reviews, and mentor senior AI engineers. Collaborate with research, engineering, program management, and product teams to deliver scalable, responsible AI products.

Design, develop, deploy, and support scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for cost, latency, throughput, and hardware utilization. Own complex system architecture, define reliability objectives, lead technical reviews, ensure security and compliance, contribute to long-term AI platform strategy, and mentor engineering colleagues.

Leads strategic technical engagement with global and regional partners, combining pre-sales discovery, demonstrations, proof-of-concept leadership, solution architecture, AI adoption, and business development. Advises partner executives on practice growth, go-to-market strategy, scalable offerings, and industry workflows. Translates ServiceNow platform and AI capabilities into differentiated solutions, coordinates specialist teams, supports value-based executive conversations, and drives partner-led customer opportunities. Travel of up to 50% is required.

Provides quality engineering support for an aerospace manufacturing program, focusing on material review, nonconformance control, corrective actions, root-cause investigations, audits, inspections, statistical analysis, and continuous improvement. Partners with engineering and manufacturing to establish quality standards, interpret drawings and industry requirements, manage product compliance, develop control plans, and lead cross-functional problem resolution. Requires manufacturing or quality engineering experience, QMS expertise, Secret clearance eligibility, and U.S. citizenship.

Advance warehouse automation reliability and performance across AS/RS, packaging, receiving, picking, sortation, and material-flow systems. The role establishes standards, defines control and software behavior, analyzes faults and throughput, improves high-uptime operations, evaluates technical alternatives, and develops AI-enabled troubleshooting tools. Responsibilities also include managing multiple engineering projects, solving complex system issues, and collaborating across hardware, controls, software, process design, analytics, and operations.

Designs and supports secure, scalable cloud and hybrid technology solutions for a mission-critical enterprise. Responsibilities include creating AI capabilities, shaping long-term architecture strategies, ensuring reliable operation across multiple platforms, mentoring technical teams, optimizing processes, and collaborating across teams using secure development practices.

Leads complex, cross-functional initiatives from strategy through execution, setting direction, sequencing work, resolving ambiguity, and making tradeoffs. Builds repeatable operating models, improves program management methods, coaches stakeholders, drives AI and automation adoption, and partners with Business Operations leadership on initiative health, reporting, and planning.

Lead community-centered marketing strategy for Best Friends Animal Society’s NYC Pet Adoption Center. Manage campaigns, social media, content, digital advertising, influencer partnerships, events, marketing systems, and performance analytics to drive adoptions, fostering, volunteering, and donations. Mentor a direct report and volunteers while collaborating across PR, creative, fundraising, and community teams. The role requires inclusive, culturally relevant marketing, hands-on execution, local NYC relationships, and up to 25% travel.

Build developer tooling, reusable frameworks, AI agent workflows, MCP integrations, and cloud-native services that improve engineering productivity. Evaluate and roll out AI development technologies, establish standards and guardrails, support authentication platform evolution, and improve AWS service and job creation paths. The role also involves documentation, collaboration with engineering and product teams, and improving system reliability and performance.

Serve as a fractional Chief AI Transformation Officer for enterprise clients. Win executive engagements, advise CEOs on high-value AI opportunities, shape actionable transformation strategies, mobilize product and engineering teams to deliver results, and expand long-term client relationships. The role combines executive advisory, applied AI expertise, commercial ownership, relationship management, and delivery leadership.

Build and operate production platforms for LLM-powered agents and AI features. Responsibilities include developing reusable services, evaluating and testing LLM systems, implementing observability, applying security and governance controls, and improving AI-assisted engineering practices. The role partners with product, engineering, data, security, and compliance teams to deliver scalable solutions, with preferred experience in orchestration frameworks, RAG, vector databases, Docker, Kubernetes, AWS, and Databricks.

Supports business process improvement through data analysis, automation, and Microsoft Power Platform solutions. Builds Power BI dashboards and reports, prepares and transforms data, tests automated workflows, documents solutions, and collaborates with stakeholders to identify business needs and present analytical findings. The internship provides hands-on exposure to Power Apps, Power Automate, Power BI, AI, and low-code/no-code technologies.

Provide practical employment law advice for a fast-growing AI company, covering US and international employment matters, workplace policies, employee relations, M&A employment issues, AI in the workplace, disputes, and employment agreements. Build scalable legal processes, counsel stakeholders, translate legal developments into training and guidance, and collaborate with internal teams and external counsel.

Supports Public Storage’s investor relations program through financial analysis, modeling, investor presentations, earnings communications, peer and sell-side analysis, shareholder outreach, and strategic initiatives. Partners with executives, investors, analysts, and cross-functional teams on corporate strategy, capital markets, acquisitions, ESG, and performance analysis.

Leads complex engineering product projects focused on powertrain systems. Responsibilities include managing schedules, budgets, technical content, risks, change requests, quality gates, project performance, and cross-functional coordination. The role facilitates design and status reviews, collaborates with engineering and external powertrain suppliers, and ensures projects meet requirements, timelines, and budgets. Candidates need engineering or business expertise, project management experience, vehicle systems knowledge, strong leadership skills, and basic AI proficiency.

Leads the Data Engineering and BI team supporting Advertising Sales. Defines technical strategy, architects scalable data platforms and context layers, modernizes workflows, enables AI and agentic applications, and establishes standards for governance, reliability, security, and cost optimization. Partners with product, engineering, analytics, and business stakeholders while recruiting, mentoring, and developing engineering talent.

Build Tungsten’s sales motion from the ground up by generating pipeline, managing complex B2B software deals through close, expanding existing accounts, and developing repeatable ICP, messaging, pricing, qualification, and sales processes. The role partners closely with founders and engineering, translates customer needs into product opportunities, and navigates enterprise procurement, legal, security, and stakeholder alignment.

Oversee financial reporting, accounting operations, month-end close, consolidated statements, technical accounting, internal controls, audits, international tax compliance, transfer pricing, and regulatory reporting across U.S. and international entities. The role also coordinates EPR and beverage recycling compliance, supports treasury and insurance accounting, and applies AI tools to improve finance processes.