Top Artificial Intelligence Jobs

Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.

Lead product vision and roadmap for the Hivemind AI Platform to enable training, evaluation, governance, and safe edge deployment of foundation and domain models. Drive MLOps, data/simulation pipelines, synthetic data generation, model governance, and integration with edge hardware. Partner cross-functionally to productionize research, ensure accreditation and safety, and support continuous learning and sovereign AI factory capabilities for mission-critical autonomy.

Lead Martech technology strategy and execution for marketing and loyalty domains. Define AI/ML-driven roadmaps, architect marketing data and activation systems, modernize content and loyalty platforms, manage vendor relationships, and drive operational excellence while coaching and growing technical teams to deliver omnichannel personalization and growth.

Lead and mentor a small trade credit analytics team, oversee day-to-day trade credit operations, drive process improvements and controls, produce reports and insights, collaborate cross-functionally, and support team development and project execution to meet KPIs and SLAs.

Lead enterprise-level strategy and delivery for building design, engineering, data readiness, and AI adoption. Define customer success plans, run workshops, shape consulting offerings, mentor staff, drive change management, and ensure high-quality project delivery and measurable customer value.

The Systems Engineer will design, develop, and deliver products for intelligence missions, collaborating on system integration, data analysis, and providing technical support.

Lead product vision, strategy, and roadmap for Citian's transportation SaaS. Collaborate with engineering, design, data science, and GTM to build AI-driven features, validate solutions with clients, define success metrics, and drive adoption.

Manage and expand enterprise accounts by driving renewals, upsells, and strategic negotiations. Serve as trusted advisor to executives, design tailored account strategies, lead cross-functional initiatives, and mentor peers to maximize customer value and retention.

Lead the Warehouse Management System product strategy and roadmap, manage WMS subject-matter team, prioritize backlog, drive integrations and releases, engage stakeholders and clients, conduct user and market research, remove delivery roadblocks, and support sales with WMS capabilities to improve warehouse efficiency and scalability.

As a Senior Systems Engineer, lead technical solutions for R&D Automation and Middleware, ensuring product development and collaboration with internal teams.

Designs and conducts statistical analyses for observational and interventional health research, contributes to grant proposals and publications, consults with clinicians, develops analysis plans, and builds an independent externally funded research program while collaborating across multidisciplinary teams.

Lead technical vision and architecture for ML-driven trajectory generation in autonomous vehicles. Build and deploy scalable training pipelines, integrate models into real-time safety-critical onboard systems, mentor senior engineers, drive cross-functional initiatives, and move solutions from research to production using simulation and large-scale datasets.

Rapidly prototype and validate AI solutions for advisor workflows: integrate models, signals, and UX into experiments, test feasibility and performance, iterate with user feedback, document technical learnings, and hand off prototypes for productionization.

Lead the design and delivery of AI-driven marketing systems to automate repetitive workflows, build agentic content and reporting pipelines, create a centralized AI-queryable knowledge foundation, and partner cross-functionally to connect data and systems that drive pipeline and revenue outcomes.

Design, build, and deploy production-grade AI applications using LLMs, RAG, and agent architectures. Implement vector-database-backed retrieval solutions, create scalable REST APIs and cloud-native backends, and collaborate with cross-functional teams to translate business requirements into robust AI solutions following engineering best practices.

Ship full‑stack features end-to-end using AI coding agents, drive architecture and technical direction, collaborate with Product and Design, write scalable maintainable code, mentor engineers, document work, and translate industrial automation customer problems into engineering tasks.

As a Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.

The Director of AI Customer Success will advise enterprise clients, ensuring successful delivery and adoption of AI solutions while driving retention and value realization. Responsibilities include customer strategy, developing success metrics, managing relationships, and collaborating with internal teams.

Lead enterprise deployment, governance, and operations for Microsoft Copilot and Power Platform across M365. Manage tenant controls, licensing/credit governance, AI risk/compliance, Microsoft vendor relationships, SharePoint/OneDrive content readiness, and analytics/reporting. Partner with architects, Security, Legal, Procurement, and business stakeholders to ensure secure, compliant, and adopted AI platform operations.

Lead design and delivery of enterprise BI for Finance: architect Power BI solutions, build data models and dashboards, develop complex SQL transformations, ensure performance and governance, align stakeholders, and mentor teammates.

Lead design and delivery of a scalable AI platform for Aladdin: build Kubernetes-based model deployment, cloud-native infrastructure, CI/CD for ML, ensure security/compliance, troubleshoot platform reliability, translate business needs into robust technical designs, and collaborate across global teams.

As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.

Design, build, and deploy transformer-based ML and LLM systems to automate risk investigations and decisioning. Own end-to-end pipelines (data ingestion, prompt tuning, orchestration, productionization, monitoring) and collaborate with product, engineering, and operations to deliver copilot/autopilot workflows that improve analyst productivity and eliminate manual reviews.

The Applied AI Engineer will build and maintain AI agents, manage integrations and monitor performance, ensuring quality and continuous improvement of AI tools at Zello.

The AI Operations Lead will identify operational bottlenecks, build AI automations and workflows, and drive cross-team collaboration to enhance efficiency and establish internal AI foundations.