Top Artificial Intelligence Jobs

Lead enterprise-wide continuous improvement strategy across multiple sites, driving Lean and Six Sigma initiatives, AI-enabled analytics, automation, and standardization. Oversee CI projects, KPI alignment, capability building, and cross-functional collaboration to improve quality, productivity, cost, and service.

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.

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.

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 client-facing data science efforts: design and develop algorithms and models, build and monitor operational data pipelines, leverage SQL/NoSQL and cloud architectures, query and migrate data via APIs, program in Python/JavaScript/Java, guide teammates, and translate complex data into actionable insights for decision-making.

Lead technology due diligence assessments for M&A transactions, provide strategic client advisory, manage technology risks, and mentor junior team members.

Designs, implements, and maintains automation workflows and IaC/RPA solutions; applies AIOps and ML-driven analytics to detect, correlate, and resolve infrastructure issues; optimizes capacity, performance, patching, backups, and reporting; collaborates with cross-functional teams.

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

Lead hunting and close net-new enterprise accounts for AI and transformation solutions. Own full revenue cycle: prospecting, executive outreach, deal strategy, negotiation, and closing high-value AI, automation, and SaaS engagements while partnering with engineers and architects.

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.

Lead and execute equities-focused internal audits: plan, scope, perform control design assessments and testing, report findings to senior management, follow up on remediation, and improve audit methodology.

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

Design and apply statistical, mathematical, and computational methods to extract value from large, messy datasets. Build, evaluate, and communicate analytic and ML models, translate mission needs into technical requirements, and recommend solutions while explaining results to non-technical stakeholders.

The Young Investigator in Robotics will focus on developing and applying AI methods in robotics, including manipulation, skill learning, and sim-to-real transfer while individually pursuing independent research.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

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

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Own the operating framework for insurance claims across multiple business lines, including processes, performance metrics, product feedback, feature adoption, and client operations. The role partners closely with claims, product, and clients to scale processes, improve efficiency, and enhance customer outcomes. Candidates may be hired at junior, mid, or senior levels.

Lead treasury, banking, cash flow, capital markets, and investment oversight; manage two staff; drive long-term financial planning, cash forecasting, and scenario analysis; ensure controls and compliance; oversee bond financing and investment partner relationships; prepare Board and audit materials; advise senior leadership and implement process and technology improvements.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Founding TPM & systems-integrity lead who designs and owns AI-native execution and validation. Orchestrates teams, defines KPIs, translates system gaps into tickets, and builds agent-driven QA to simulate multi-user flows, reproduce issues, validate fixes, and automate correctness at scale.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Build and optimize AI-powered tools, agentic workflows, automations, and integrations across company functions. Identify repetitive work, collaborate with team leads, maintain internal systems, evaluate emerging AI platforms, document solutions, train users, and measure impact through time savings, error reduction, and eliminated manual work.