Top Artificial Intelligence Jobs

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

Build LanceDB’s revenue marketing function and enterprise demand engine from the ground up. Own account-based marketing strategy, segmentation, campaigns, content, account planning, martech implementation, pipeline reporting, and partner co-marketing. Identify high-intent accounts through open-source and product-usage signals, create tailored omnichannel programs, and collaborate closely with founders, Sales, RevOps, and Partners to source and influence enterprise pipeline.

Direct IT audit leadership covering cybersecurity, artificial intelligence, cloud infrastructure, resiliency, governance, and operating systems. Own audit planning, risk assessment, testing, reporting, and project oversight while coaching auditors and advising business partners. Develop perspectives on emerging technology risks and apply data analytics, automation, visualization, and AI to audit execution. The role requires deep technical expertise, strong communication, project management, critical thinking, and experience auditing AI-related risks.

Own the end-to-end strategy, roadmap, requirements, delivery, launch, and measurement of AI-powered security operations products. Partner closely with engineering, sales, customer success, and enterprise security customers to prioritize work, build trust through transparency and control, and define how autonomous agents transform SOC workflows.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.

Own Baba’s payer partnership strategy, pipeline, negotiations, executive relationships, and expansion with national and regional health plans, especially Medicare Advantage and dual-eligible populations. Structure value-based and risk-aligned agreements, scale pilots into contracts, communicate payer needs internally, and build a partnerships and account management team. The role reports to the CEO, collaborates cross-functionally, and requires travel for business development meetings and conferences.

Leads advanced Revenue Growth Management analytics, complex business problem solving, next-generation capability development, AI use-case implementation, strategic projects, and organizational training. Partners with Advanced Analytics and Data Science teams to build scalable tools, translate RGM methodologies into solutions, and generate actionable insights across brand, trade, pricing, and commercial initiatives. Manages three direct reports and supports enterprise-wide analytical capability building.

Freelance AI Project Reviewer evaluates learner submissions against detailed rubrics, makes consistent pass/fail judgments, and provides constructive written feedback. The reviewer collaborates with product and learning design teams to refine assessment criteria, compares human and AI evaluations for calibration, and documents reasoning to support consistency. This temporary role averages approximately 20 hours per week and requires independent work, strong written communication, and at least five years of assessment or educational feedback experience.

Leads global consolidated financial reporting, forecasting, budgeting, P&L analysis, and executive financial storytelling across multiple entities and currencies. Owns SAP Analytics Cloud FP&A models, dashboards, planning workflows, and financial master data governance. Analyzes FX impacts, variance drivers, and business performance while partnering with Accounting, Treasury, IT, sales, and operations. Drives FP&A transformation through automation, AI-enabled analysis, improved forecasting, anomaly detection, and scalable reporting controls.

Provides human resources support for Actuarial colleagues across multiple U.S. offices. Responsibilities include policy and program administration, onboarding and orientation, payroll and benefits assistance, employee transactions, employee relations, investigations, performance improvement plans, communications, and confidential employee support. The role also coordinates regional HR operations, supports immigration processes, and increasingly serves as a business partner to employees and leaders. It requires hybrid attendance in the Atlanta office three days per week.

Drive go-to-market execution across Nabla’s product portfolio, including positioning, messaging, sales enablement, competitive intelligence, demand-generation partnerships, customer adoption content, and event support. Progress into owning go-to-market strategy for specific products from early definition through launch and adoption, partnering with Product and Engineering and tracking launch success metrics.

Lead enterprise AI integration across Product Development and Product Excellence. Build unified data infrastructure, deploy AI tools, reform program management, scale AI-powered quality and consumer insights, and lead an embedded AI Fellows team to drive adoption, measurable outcomes, and organizational change across hardware and consumer product lifecycles.

The Principal Edge AI Firmware Engineer will develop and optimize embedded software for AI applications, focusing on performance and energy efficiency. Responsibilities include enhancing AI runtimes, profiling tools, and ensuring customer integration across embedded environments.

Lead a team of data scientists to develop AI/ML solutions, leveraging advanced technologies for customer interactions and product innovations. Build and implement NLP models for large-scale applications while collaborating with cross-functional teams.

The Director of AI Customer Success oversees enterprise client relationships, ensuring success metrics and driving AI adoption, retention, and value realization through strategic consulting and collaboration with internal teams.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

The Director of Data & AI Partnerships is responsible for developing account strategies, cultivating partnerships with pharma/biotech clients, and driving revenue goals while ensuring delivery on strategic objectives.

The Conversational AI Operations Specialist will manage and optimize the AI chatbot Sidekick, focusing on quality assurance and content operations.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.

Lead design and delivery of production-grade AI capabilities to improve developer productivity across engineering tools, CI/CD, and embedded software workflows. Define technical vision, integrate AI into toolchains, drive productionization, establish responsible AI standards, mentor engineers, and influence cross-functional roadmaps and implementations.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.