Top Artificial Intelligence Jobs

Lead global marketing for Caris AI Insights, defining positioning, messaging, GTM, and commercialization. Drive product launches, sales enablement, thought leadership, customer evidence, competitive analysis, and cross-functional alignment to accelerate adoption of AI-driven oncology intelligence across healthcare, pharma, and research customers.

Lead discovery and modernization of expert-driven manual processes using LLMs, AI agents, and automation. Embed with domain experts to extract tacit knowledge, produce formal process models, design multi-step agent workflows with HITL escalation, replace legacy tools, and build evaluation and audit frameworks to ensure safe, verifiable production deployment.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

Produce digital marketing, web, and presentation assets using Figma and Adobe tools, integrate generative AI image workflows, retouch and composite images, maintain asset libraries, and collaborate with product, marketing, and development teams for timely design handoffs.

Work with internal teams to design and implement LLM-powered solutions: build prototypes, advise on system architecture and safe deployment, support end-to-end implementation, and keep current on LLM techniques and tools.

Partner with internal teams to design and implement LLM-powered applications and architectures. Build prototypes and proofs-of-concept, advise on system-on-system design, support end-to-end deployment, and keep teams current on evolving LLM techniques and best practices while prioritizing safe, responsible deployment.

Support internal teams to design, prototype, and deploy LLM-powered applications. Act as the technical lead across Sales, Product, and Engineering, advising on system architecture, testing approaches, and responsible LLM integration while keeping current with evolving LLM techniques and tools.

Partner with internal teams to design and implement LLM-powered applications. Build prototypes, advise on system architectures, support end-to-end integration, and promote safe, responsible LLM deployment.

Act as a technical partner to internal teams to design and implement LLM-powered applications. Build prototypes and proofs-of-concept, advise on system-of-system architecture, support end-to-end deployment, and keep teams current on LLM techniques, safety, and best practices while coordinating cross-functional stakeholders.

Act as a technical partner to internal teams to design and implement LLM-powered solutions. Build prototypes and POCs, advise on system architectures, support end-to-end deployment, and keep teams current on LLM best practices and tools while prioritizing safety and responsible use.

Partner with internal teams to design and implement LLM-powered applications. Build prototypes and system architectures, advise on prompt design, retrieval and agent systems, and support end-to-end deployment while prioritizing safety, testing, and responsible use of AI technologies.

Design and own agentic systems that produce client-ready financial deliverables end-to-end. Build retrieval, evaluation, and verification systems; transform proprietary data into evidence-backed insight; and advance orchestration, function-calling, and reliability for LLM-powered pipelines.

Tenure-track, open-rank faculty position in Learning Sciences integrating artificial intelligence. Responsibilities include establishing a visible research program, publishing, securing extramural funding, mentoring graduate students, teaching graduate/undergraduate courses, and contributing to departmental, school, and university service. Research may focus on generative AI, LLMs, multimodal models, human-AI interaction, CSCL, and ethical implications of AI in education.

The AI Systems Engineer will design AI architectures, build training pipelines, optimize models for edge inference, and manage model lifecycles.

Lead the development of real-time, safety-critical onboard software for embedded GPU platforms, focusing on AI perception and optimization.

Lead design and implementation of cloud-native, microservices backend systems that power AI-enabled features (LLM assistants, RAG pipelines, recommendations). Build scalable REST and event-driven APIs, establish MLOps practices, ensure reliability/security/observability, mentor engineers, and collaborate with product, scientific, and infrastructure teams to productionize AI services in regulated scientific environments.

Lead and scale engineering and product development for a cyber, compliance, and GRC platform. Embed AI across products, own platform architecture, drive agile high-velocity delivery, ensure security and data integrity, translate regulatory frameworks into workflows, and build a high-performing engineering team aligned with business leaders.

Lead the transition from teleoperation to autonomy in robots by developing Vision-Language-Action models and deploying ML systems. Collaborate on data processing and model integration for robotics applications.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

The Senior Product Manager will define the product strategy and roadmap for AI and data products, lead product initiatives, and collaborate with engineering and data science teams. The role requires transforming complex problems into actionable products that enhance healthcare decision-making.

Evaluate AI-generated energy forecasts based on accuracy and quality, leveraging analytical and quantitative skills to assess forecast responses.

Evaluate AI-generated web traffic and cloud infrastructure forecasts, assess accuracy and quality using a rubric. Require analytical skills and experience in web ops.

Seeking Finance Professionals with 2-3 years experience to translate finance concepts into AI formats. Role involves analytical skills, fluency in English, and familiarity with various financial tools.

Lightly AG seeks experienced Sales Subject Matter Experts to improve AI tools in sales workflows. Candidates should start soon with a commitment of 15 hours/week.

As a Research Scientist at Cogent, you will conduct high-impact research in AI-driven code analysis and automated reasoning, publish findings, and collaborate with product teams.