Top Artificial Intelligence Jobs

The AI Strategist will manage high-value client relationships, drive commercial growth, and translate complex business needs into AI solutions for Hebbia's financial clients.

The AI Strategist will drive AI deployment and value creation across financial institutions, optimizing workflows and enhancing customer experience while building partnerships and expertise in the banking sector.

As an AI Strategist at Hebbia, you will drive strategic deployment of AI solutions in finance, build customer relationships, and enhance workflows for value creation.

Lead an AI engineering team to design, build, deploy, and optimize large-scale generative AI systems. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and make strategic build-vs-buy decisions. Drive technical vision, roadmap, and talent development while ensuring scalable, cost-efficient, and responsible AI production systems.

Lead design, develop, deploy, and support foundational AI systems (LLM training/inference, similarity search, guardrails, observability). Partner cross-functionally to optimize scalability, cost, latency, and throughput, apply state-of-the-art research to production, and shape long-term AI platform roadmap.

Lead product strategy and lifecycle for Physical IP and CPU products targeting Edge AI. Define roadmaps, translate market and customer insights into engineering requirements, drive competitive positioning, and engage Tier 1 customers to secure design wins. Collaborate cross-functionally with engineering, sales, marketing, and executives to influence CPU roadmap, deliver commercial cases, and ensure customer success.

Design and implement scalable platform services, runtimes, and developer tooling for deploying and managing AI workloads on Arm-based edge devices. Build abstractions, observability, and performance optimizations across heterogeneous hardware while collaborating with architects and AI engineers to produce robust, maintainable systems and SDKs for on-device AI.

Design, build, and operate scalable, secure multi-cloud infrastructure and AI-focused platforms. Lead IaC automation (Terraform/Ansible/CloudFormation), enable MLOps workflows for model training and inference, apply AI-assisted engineering to reduce toil, drive platform strategy, deliver large-scale projects, and mentor engineers.

Lead design and delivery of agentic, LLM-powered backend and platform AI systems. Build and operate Java and Python microservices, implement orchestration, RAG, prompt management, observability, and cost telemetry. Drive architecture, integration with platform and vendor components, enforce engineering standards, and ensure Responsible AI, security, and production reliability at enterprise scale.

Design, develop, and deploy agentic AI workflows and LLM-based automations for clinical and business use. Build scalable RAG solutions, vector DB integrations, and production-grade Python services. Implement AI orchestration frameworks, ensure MLOps/LLMOps, monitor observability, and collaborate with product, clinical, security, and engineering teams to deliver secure, compliant healthcare AI capabilities.

Design, build, and operate scalable AWS cloud infrastructure and CI/CD for AI/ML platforms. Implement IaC (Terraform/CloudFormation), container orchestration (Docker, Kubernetes/EKS), monitoring, security, and observability while collaborating with AI and data teams to enable model deployment and MLOps workflows.

The Data Management and Automation Analyst manages data repositories, conducts analytics, implements system enhancements, and leverages AI to streamline processes while ensuring compliance and data governance.

Lead administrative, academic, and operational management of a new grant-funded Master of Science in Applied Computing: coordinate curriculum, faculty, research, admissions, budgeting, grant compliance, student support, and external partnerships to grow and sustain the program.

The role involves teaching and advising at undergraduate and graduate levels while producing peer-reviewed research in Information Systems. Candidates should have strong experience in teaching and a solid research agenda.

Lead US TMT business development with an AI focus: identify revenue opportunities from AI regulation, M&A, governance and data trends; develop client strategies, communications and targeted outreach; support pitches and major US TMT projects; coach and manage MBD colleagues; collaborate with partners and international teams to drive client relationships and revenue growth.

The Senior Business Development Manager will identify new business opportunities, manage partnerships, and contribute to revenue expansion in the diagnostics sector.

Seeking a Senior Business Development Manager to identify business opportunities, manage partnerships, and support revenue expansion in the diagnostic sector.

Manage a portfolio of high-net-worth clients, delivering financial insights and tailored solutions, while collaborating with internal teams for seamless service and support.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

The Head of Data Governance will establish frameworks for data integrity and compliance, oversee patient data anonymization, and lead governance initiatives. This role requires collaboration with senior leaders to ensure data strategy aligns with regulatory requirements and business goals.

The Engineer leads complex engineering projects, focusing on safety, project management, and collaboration while ensuring timely delivery of high-quality engineering solutions.

Join SEP's AI practice to build software components utilizing AI technologies. Mentor team members and advise clients on AI applications.

Lead policy strategy on blockchain, digital assets, and emerging technologies; advise cross-functional teams on regulatory, risk, and policy implications; engage regulators and industry groups; translate complex technical concepts for senior leaders and stakeholders to inform decision-making.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.