Top Artificial Intelligence Jobs

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Build and ship shared AI infrastructure, agent frameworks, and tooling; partner with product teams to productionize LLM and agentic features; own GenAI best practices for architecture, safety, evaluation, and deployment; develop agentic systems and AI SRE tooling; engage with customers to shape roadmap and demos.

Build and maintain production AI/ML models and pipelines for an NDR platform; develop scalable, secure backend services; optimize detection algorithms and reduce false positives; integrate ML features into product architecture; mentor engineers; participate in code reviews, technical strategy, and documentation; operate cloud-native, containerized services and manage infrastructure as code.

As a Senior Platform Engineer, you'll manage the infrastructure for deploying AI applications in enterprise environments, collaborating with customer IT on security and compliance.

Own product roadmap and strategy for Databricks AI platform capabilities across training, serving, feature stores, vector search and LLM infrastructure. Partner with engineering, GTM, and customer teams to drive enterprise adoption, pricing, and commercialization of ML/AI platform features.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

As a Senior Forward Deployed Engineer, you will embed within customer environments to develop and deploy AI solutions, enhance performance through evaluations, and become a domain expert in specific verticals.

Lead and execute AI infrastructure and governance policy strategy for data centers: track federal and state developments, draft positions and advocacy materials, engage policymakers and regulators, monitor permitting and energy issues, represent the company in forums, and advise internal teams while leveraging AI tools to improve productivity.

As a Senior Software Engineer, you will enhance AI application interfaces for enterprise clients, ensuring high product quality and a seamless user experience through direct customer collaboration and rapid iteration.

Lead design, build, and production deployment of end-to-end AI/ML systems. Manage high-performing AI teams, implement MLOps, ensure reliability, scalability, and integration with full-stack and cloud platforms, and drive model experimentation, tuning and evaluation at scale.

Provide practical, production-focused mentorship to managers and executives in business-facing AI programs: guide project work, clarify generative and agentic AI concepts, discuss deployment trade-offs, and share strategies for evaluation, governance, and scaling AI in organizations.

The Technology & AI Solutions Partner leads technology infrastructure, governance, and AI deployment, collaborating with business leaders to leverage AI solutions for growth and efficiency.

Design, build, and operationalize scalable, secure Generative AI and LLM solutions across AWS and GCP. Lead architecture, implement RAG/vector search and agentic systems, optimize model lifecycle and compliance (HIPAA/Responsible AI), mentor engineers, and collaborate cross-functionally to deliver production-grade AI services.

As a Staff Computer Vision AI/ML Engineer, you will lead a team to develop and deploy AI/ML algorithms in remote sensing, including analyzing datasets and training deep learning models.

Lead design and deployment of AI-driven predictive maintenance solutions for facilities. Analyze workflows, build/train/deploy ML models, integrate sensor/IoT data, ensure security/compliance in a classified on-site environment, validate models, run stakeholder working sessions, and provide technical documentation and training.

PowerPay seeks a Software Engineer to manage development tasks from requirements to deployment, focusing on backend services and AWS infrastructure. Responsibilities include writing Python and SQL, utilizing AI tools, maintaining data pipelines, and ensuring communication with stakeholders.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

Lead strategy and execution for agentic AI product experiences across the DFIR portfolio. Define roadmaps, ship reliable and governed agentic features, drive adoption and growth, instrument metrics and experiments, run continuous discovery, and collaborate cross-functionally to ensure trustworthy, scalable AI-native products.

The AI Enablement Engineer will build and deploy AI agents, design intelligent workflows, and collaborate with teams to improve processes using AI technologies.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

The AI Workforce Enablement Lead will drive workforce enablement and change execution related to AI transformations, ensuring effective adoption and support among employees and managers.

Lead and manage 2-3 AI POD teams as a player-coach to drive pipeline, forecast accuracy, revenue, and margin. Run structured GTM cadence, enforce pipeline/CRM governance, engage in strategic executive customer pursuits, coordinate shared and OEM resources, integrate PODs with regional sales, and hire and develop high-performing AI sales specialists.

Join Arootah's advisor network to provide fractional Chief AI Officer / AI Strategy leadership to hedge funds, private equity firms, and family offices. Advise on AI initiatives, strategy, governance, vendor evaluation, workflow automation, change management, and implementation roadmaps. Engage on project-based assignments; client origination handled by Arootah.

Design, build, and operate end-to-end data and AI systems: scalable ETL pipelines, model development and deployment, backend services/APIs, cloud infrastructure, MLOps, data governance, and lead technical reviews while mentoring engineers and collaborating with stakeholders.