Top Artificial Intelligence Jobs

Lead product lifecycle and roadmap for enterprise analytics platform; gather client and internal requirements, prioritize features, drive cross-functional delivery, support sales and services, and enable global teams to deploy high-throughput, streaming and batch software solutions.

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.

The Consulting Engineer will drive optical product sales, collaborate with sales teams, develop technical strategies, present solutions, and influence key customer decisions in a pre-sales role.

As a Software Engineering Co-op, you'll execute projects independently, engage with AI technologies, and collaborate on innovative ICT solutions to develop your engineering skills.

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.

Lead the design, development, and deployment of scalable digital platforms and AI-enabled solutions. Mentor engineers and collaborate with cross-functional teams on technical architecture and engineering vision.

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 architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.

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.

Lead and design emerging-technology projects from concept to prototype, evaluate technologies and business models, run user research and validation, build scorecards, pitch opportunities, present findings, and maintain cross-functional and external partnerships to scale business impact.

Lead product strategy and delivery for Kai, Airwallex's AI assistant. Partner with engineering, design, and cross-functional teams to build scalable LLM-powered features, validate new agentic use cases, balance model quality and cost, and drive product performance using user feedback and production conversation data.

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.

The Director of AI/ML Engineering will drive AI transformations, manage a large engineering team, ensure project delivery, and influence business strategies in healthcare.

Lead enterprise AI strategy and execution to design, pilot, deploy, and scale generative AI, conversational assistants, agentic automation, and AI-enabled workflows across clinical, product, and enterprise systems in a regulated healthcare environment. Align cross-functional teams, define success metrics, and ensure compliance, auditability, and continuous improvement of production AI capabilities.

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.