Top Artificial Intelligence Jobs

Owns product strategy and lifecycle for AI- and automation-enabled portfolio management capabilities within BlackRock’s Aladdin platform. The role partners with portfolio managers, investment professionals, engineering, and product teams to identify workflow improvements, define requirements, deliver scalable solutions, drive adoption, and measure business impact. It requires investment management knowledge, product judgment, technical fluency in software and AI, analytical problem-solving, and strong stakeholder communication.

Own company-wide recruiting for engineering, go-to-market, and leadership roles after Series B. Responsibilities include personally sourcing and closing difficult candidates, building and coaching a lean recruiting team, partnering with founders and hiring managers on hiring plans and assessment processes, improving recruiting funnels, managing search partners and tools, and delivering a strong candidate experience. The role is hands-on, based in San Francisco, and requires working in the office five days per week.

Own the full sales cycle for SME and mid-market US customers, from outbound prospecting and pipeline generation through discovery, demos, negotiation, and closing. Manage revenue targets, forecasts, pipeline accuracy, and opportunity qualification in HubSpot. Collaborate with Business Development, Presales, Marketing, and Customer Success while helping establish osapiens’ US digital sales motion.

Experienced HR and People Operations professionals design realistic HR workflows, policies, payroll, workforce planning, and employee lifecycle scenarios for AI evaluation projects. They create structured assignments, supporting materials, objective evaluation criteria, and practical solutions while analyzing complex information and resolving ambiguities. This is a fully remote, project-based contractor role requiring hands-on HR operations expertise, strong communication, and independent work.

Leads the governed execution and scaling of AI proofs of concept and pilots across the marketing organization. Coordinates intake, prioritization, approvals, delivery tracking, success measurement, and graduation pathways while partnering with Technology, Data/Analytics, Legal, Privacy, Controls, and Risk. Produces executive-ready dashboards, decision memos, portfolio updates, and escalations to drive alignment and controlled innovation.

Own the implementation, hardening, and polish of game AI behaviors and systems for shipping. Collaborate with design, animation, and other disciplines to tune AI features and support the creative vision. Ensure reliable, stable enemy behaviors and enhance existing architecture. The role requires deep Unreal Engine and modern game AI experience, strong C++ skills, animation systems knowledge, and at least one shipped game title focused primarily on AI.

Leads technical integration between HBM customers and internal design, product engineering, process engineering, and manufacturing teams. Translates customer system requirements into internal actions, mentors teams on HBM architecture, signal integrity, thermal solutions, and packaging, and drives design reviews, root-cause analysis, failure resolution, and yield improvement. The role also leads development and deployment of AI-powered engineering capabilities for validation, debugging, characterization, and customer enablement.

Own the end-to-end enterprise AI training and adoption product lifecycle, including strategy, roadmap, training content, vendor coordination, product releases, and the AI Champion Network. Partner with technical teams, business leaders, vendors, and subject matter experts to drive safe AI adoption. Analyze usage, completion, and employee feedback data to prioritize improvements and measure outcomes across a distributed workforce.

Own customer deployments and growth accounts for an AI customer-support product. Lead implementation with forward-deployed engineers, improve and deploy product changes, teach customers to build and optimize Concierge, identify expansion opportunities, and communicate recurring customer problems to Product. The role combines customer success, product management, technical investigation, AI deployment, and account growth in a hybrid New York setting.

Design and implement AI agents for mission planning and orchestration across autonomous systems, focusing on LLM frameworks and edge computing.

Provides strategic technical leadership in industrial hygiene and safety engineering for a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, onsite industrial hygiene sampling, robotics and automation safety reviews, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel across the United States and potentially internationally.

Build and manage technical relationships with cloud and AI partners, developing joint solution integrations, reference architectures, technical content, demos, and enablement materials. Influence product roadmap priorities, support beta programs, assist co-sell and co-marketing opportunities, and represent Dynatrace through thought leadership. The role requires deep cloud-native, observability, AI, and solution architecture expertise, plus strong communication and presentation skills.

Own two enterprise customer pods through the full voice AI agent lifecycle, including design, build, evaluation, monitoring, optimization, and production launch. Manage customer relationships, timelines, and outcomes while partnering with forward-deployed engineers. Build scalable tooling for automated agent evaluation, call analytics, administration, and reliable agentic behavior. Convert customer learnings into platform roadmap improvements and repeatable productized solutions.

Own Daptic’s revenue operations function, including CRM and GTM systems, data quality, quote-to-cash processes, billing, procurement portals, reporting, forecasting, planning, territory and quota models, and commission administration. Partner closely with Sales, Growth, Finance, and leadership to improve pipeline visibility, revenue processes, and operational efficiency while building the function from the ground up.

Leads compliance testing and regulatory reviews across institutional securities businesses, including equities, fixed income, commodities, investment banking, research, and operations. Responsibilities include scoping reviews, conducting walkthroughs and substantive testing, evaluating controls, preparing workpapers and reports, discussing findings with management, and tracking remediation. The role also applies data analytics, artificial intelligence, and technology tools to compliance testing.

Architects the data and AI foundation for marketing, sales, and analytics. Responsibilities include building Databricks pipelines, Gold Layer tables, semantic models, documentation, AI-enabled data products, and production LLM or agent systems. The role leads cross-functional initiatives, translates ambiguous business needs into scalable solutions, ensures data quality and reliability, mentors engineers, automates workflows, and partners with BI, data science, marketing, sales, and R&D teams.

Teaches undergraduate and graduate artificial intelligence courses in a hybrid format. Develops syllabi, lesson plans, course materials, assessments, and student feedback while using online technologies. Integrates responsible AI practices into instruction and evaluates student use of AI tools. Requires advanced AI-related education, applied industry experience, teaching experience, strong communication skills, and knowledge of ethical, secure, and responsible AI deployment.

Leads design, development, testing, deployment, and production support for secure Java microservices and REST or event-driven APIs. Owns DevOps execution, CI/CD pipelines, automated quality gates, resilience, observability, and comprehensive testing. Promotes responsible AI-assisted engineering practices, evaluates technology vendors, and guides teams on scalable AWS or private-cloud solutions using Cassandra and Kafka.

Designs, develops, and deploys enterprise-grade autonomous AI services and multi-agent workflows. Integrates MCP and A2A protocols, architectures hybrid control flows, secures tool execution, and builds scalable microservices. Applies SRE practices such as fallbacks, circuit breakers, audit trails, and observability. Requires advanced Python, cloud foundation model platforms, containerization, CI/CD, distributed systems, and production LLM deployment experience.

Structures and optimizes knowledge base content for generative AI retrieval and agent desktop systems. Analyzes more than 100,000 weekly GPT prompts to diagnose inaccurate responses, performs root-cause analysis, and implements content fixes. Translates frontline feedback into structured updates, develops AI content standards, creates HTML/CSS support materials, and collaborates with subject matter experts, business partners, and developers to improve knowledge accuracy and operational efficiency.

Design and lead AI architecture for FP&A planning, forecasting, reporting, and analysis. Build ML-assisted forecasting systems and agentic workflows for variance commentary, scenario modeling, board narratives, and financial queries. Establish governed finance data foundations, auditability, human-in-the-loop controls, and AI evaluations. Evaluate planning and AI tools, partner with Finance, Data, and Engineering, mentor teams, and measure improvements in forecast accuracy, cycle time, analyst capacity, and decision speed.

Lead Weave’s brand narrative, positioning, communications, media relations, product launches, content pipeline, and creative production for home robotics. Partner with founders and cross-functional teams to translate sophisticated technical work into compelling messaging, support recruiting efforts, and build a communications function. The role requires strong strategic writing, technical fluency, launch leadership, and experience marketing at a high-growth technology company or startup.

Leads complex AI and cloud-native incubation projects, designing and implementing scalable services across public cloud, datacenter, and edge environments. Develops Generative AI, microservices, and distributed-system solutions; evaluates emerging technologies through prototypes and research spikes; guides architecture, security, reliability, testing, CI/CD, and observability. Leads small multidisciplinary engineering teams, collaborates with stakeholders, mentors engineers, and advances innovative capabilities across multiple parallel projects.

Leads the strategy, growth, programming, production, distribution, and performance of a multi-platform sports media portfolio. Oversees podcasts, audio, digital video, social content, talent-led franchises, partnerships, budgets, operating standards, and senior multidisciplinary teams. Develops original intellectual property, manages talent and rights relationships, uses audience and performance data to guide investments, and collaborates with sales teams on marketable, brand-safe content opportunities.

Own end-to-end enterprise platform deployments, from scoping customer workflows through production launches and iteration. Configure AI agent behavior, integrations, retrieval, prompts, workflows, operating procedures, and safety guardrails within complex SAP environments. Create technical artifacts, evaluation plans, and customer documentation; apply AI tools to development, testing, data, and support. Partner with the Platform team to develop repeatable deployment abstractions while working directly with enterprise stakeholders.