Top Artificial Intelligence Jobs

The Market Development Specialist will drive the adoption of EDGE AI, develop strategic partnerships, manage the business development lifecycle, and ensure successful contract pursuits.

The AI Build Engineer Manager will lead the development of reusable AI solutions, oversee technical governance, and ensure enterprise architecture standards while integrating advanced AI technologies and cloud services.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Manage a team of data analysts and scientists to develop predictive analytics for business decisions. Oversee project management and statistical consultation.

Lead COE efforts to identify and deliver AI and automation solutions across business units. Conduct process mining, define use cases, produce discovery and design documents, and design secure, compliant architectures integrating platforms like Salesforce, Automation Anywhere, n8n, and Oracle ERP. Drive adoption, measure performance, prioritize initiatives, and pilot emerging technologies to improve efficiency and ROI.

The intern will identify AI opportunities, document workflows, translate needs into requirements, and support solution delivery while collaborating with stakeholders.

As an AI Solutions Architect Intern, you'll design AI solutions, create architecture diagrams, build proof-of-concepts, and document best practices, while collaborating with stakeholders and teams to align on technical plans.

Design, develop, and deploy enterprise-grade AI solutions; build integrations (AI Gateway, orchestration, MuleSoft); apply DevSecOps; evaluate models, data quality, and bias; collaborate with architects, engineers, and stakeholders to operationalize and improve the AI platform.

Support data engineering teams by benchmarking Matillion's AI Assistant (Maia) against manual ETL/ELT workflows. Measure productivity, speed, accuracy, quality, and maintainability; produce reports, documented workflows, and demos; and recommend best practices for integrating AI-assisted tools into cloud data pipelines.

Lead and mature enterprise AI governance by developing policies, controls, risk assessments, vendor oversight, metrics, and integration into ML lifecycles. Partner with Legal, Security, Compliance, and business teams to ensure responsible, compliant, and secure AI deployment and support audits and incident responses.

Support technical execution of enterprise AI solutions across the delivery lifecycle. Translate stakeholder needs into secure, maintainable implementations (APIs, orchestration, prompts, retrieval, evaluation), apply responsible AI and security standards, coordinate with vendors, maintain runbooks/monitoring, and implement evaluation and feedback loops.

Lead discovery, design, and delivery of Multi‑Agent System PoCs to production. Own product artifacts, backlog, and cross‑functional execution; ensure data quality, security, responsible AI, UAT, adoption, and measurable impact.

The Staff Research Scientist will develop AI algorithms, software simulations, and lead hardware prototyping in a collaborative research team setting.

Develop innovative AI algorithms, create software simulations, lead hardware prototyping, and collaborate on advanced solutions in AI applications.

The Execution Engineer will build AI-enabled delivery workflows and applications, using traditional coding and low-code platforms while ensuring strong engineering discipline and collaboration.

Develop and optimize vision-language-action models, integrating LLM-based reasoning with control policies, ensuring real-time robot interactions, and optimizing training and evaluation frameworks.

Design and optimize reinforcement learning algorithms for robot control, integrate policies into robot platforms, and collaborate across teams for hardware-software integration.

The Physician AI Researcher role focuses on enhancing medical documentation and coding through AI technologies, collaborating with clinical and technical teams to improve accuracy and user experience. Key responsibilities include prototyping AI models, designing experiments, and curating datasets.

Design AI-driven user interfaces for GeminiApp, collaborating with engineers and product managers. Responsibilities include crafting intuitive experiences and innovative designs for complex software applications.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

The Senior Manager, Engineering - AI Agents leads engineering for AI Agent software development, managing a team to implement scalable, production-ready systems that enhance customer experience through automation.

The Strategic Sales Executive will identify business opportunities in healthcare, build relationships with decision makers, and drive sales of ClinicalKey AI solutions, while collaborating with internal teams and managing account data.

The Senior Applied AI Engineer will drive AI innovation, design pilots, enhance AI patterns, develop architectures in AWS, and communicate results effectively.

Lead the delivery of AI/GenAI solutions, focusing on technology product management in data analytics and insights for pharma operations.

The role involves managing AI and GenAI product development, leading technical teams, and delivering impactful analytics solutions in healthcare, emphasizing project management and collaboration with diverse teams.