Top Artificial Intelligence Jobs

Develops data analytics and machine learning solutions for vehicle diagnostics, prognostics, preventive maintenance, and intelligent controls. Processes high-volume engineering and service data using Hadoop, cloud systems, and modeling tools; identifies patterns, anomalies, and trends; supports validation, product improvement, research proposals, and analytics strategy. Collaborates with data engineering, software, engineering, suppliers, and business teams while guiding complex projects and technical roadmaps.

Define Horizon3’s long-term AI/LLM offensive security strategy and lead development of scalable autonomous attack capabilities in NodeZero. Direct research and productization for prompt injection, tool exploitation, data exfiltration, privilege escalation, model and supply-chain attacks, and agentic systems. Establish architectures, threat models, safety and reliability standards, and evaluation practices for LLM-powered offensive applications. Influence company-wide technical decisions, mentor senior engineers, and represent the company through research and industry leadership.

Design and build enterprise AI platform infrastructure, including LLM gateways, MCP registries, abstraction APIs, AI agents, automation, governance, observability, and compliance tooling. Evaluate AI models and emerging frameworks while balancing cost, safety, and performance. Lead technical design for cross-functional projects and support engineers through office hours, Slack, and adoption programs. Build and operate production backend services using Python or TypeScript, cloud platforms, containers, APIs, and enterprise security patterns.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Leads enterprise AI activation for Commercial AI and future transformation programs. Integrates leadership activation, organizational readiness, capability development, communications, adoption measurement, workflow redesign, and value realization. Partners with senior leaders and cross-functional teams to embed AI-enabled ways of working, establish champion networks, manage adoption risks, report progress, and develop scalable activation playbooks and methodologies.

Conduct a focused research project on agentic AI systems for applications such as robotics, vehicle design, factory logistics, or numerical optimization. Define project scope with a mentor, develop and evaluate AI methods, and work toward publication at a relevant research venue. The role requires foundation-model fine-tuning with reinforcement learning and use of agentic workflows to accelerate research experiments.

Own technical sales engagements for AI-powered customer experience assurance solutions, from discovery through technical win. Lead CX and AI stack discovery, solution design, tailored demos, workshops, proofs of concept, and executive business cases. Partner with Sales, Product, and Implementation teams on RFPs and handoffs, while creating enablement materials and mentoring teammates on agentic AI and prompt engineering.

Develop and optimize compiler tools targeting Intel CPUs, GPUs, and accelerators. Responsibilities include adding compiler features, integrating processor capabilities, maintaining LLVM, Clang, SYCL, and Fortran frameworks, debugging, performance analysis, vectorization, parallelization, benchmarking, and open-source collaboration. The role supports AI and high-performance computing applications and involves cross-functional work with hardware, validation, and global engineering teams.

Designs, builds, and operates AWS-based data lakes and GenAI platforms for safety and mission assurance. Develops heterogeneous data pipelines, RAG and agentic workflows, APIs and MCP servers, identity integrations, evaluation and observability systems, and governance controls. Integrates AI capabilities with enterprise applications and Microsoft 365 while ensuring security, traceability, responsible AI, and regulatory compliance. Requires collaboration with technical and mission stakeholders and residence in the Greater Cleveland Area.

Develop and apply physics-based and machine-learning models for plasma etching, deposition, and surface modification processes. Use quantum chemistry, molecular dynamics, kinetic Monte Carlo, and large-scale HPC simulations to study plasma-surface interactions. Collaborate with experimental teams, integrate simulation and experimental data, maintain modeling software, validate predictive tools, and communicate findings to scientists, engineers, and customers in the semiconductor equipment industry.

Develop visual reasoning, 3D spatial understanding, and embodied intelligence capabilities for robotics foundation models. Design scalable robotics data pipelines covering collection, teleoperation, annotation, quality assessment, and evaluation. Research multimodal foundation model approaches for robotic planning, reasoning, and decision-making, including VLA architectures. Collaborate with foundation model researchers and robotics partners to evaluate capabilities and address real-world deployment challenges.

Owns the development and execution of AI products across GE Vernova. Responsibilities include building product roadmaps, coordinating business, engineering, research, data science, IT, designers, and suppliers, measuring product performance, managing user experience, assessing third-party solutions, and improving products post-launch. The role requires strong AI expertise, business acumen, leadership, communication, and data-driven decision-making.

Develop machine learning and AI tools for Formula 1 engineering performance analysis. Responsibilities include analyzing imagery and simulation data, detecting trends and anomalies, building embeddings and similarity models, applying LLMs and retrieval-augmented systems, and creating internal engineering tools. The placement involves collaborating with domain experts and deploying prototype systems using modern software frameworks.

Own the monthly close, reconciliations, lease and revenue accounting, audit coordination, compliance filings, and consolidation. Build AI-assisted accounting workflows, improve controls and policies, and oversee a two-person international accounting team. The role requires strong US GAAP knowledge, ASC 606 and ASC 842 experience, NetSuite expertise, and multi-entity consolidation experience in a SaaS or public accounting environment.

Design and optimize AI conversation systems, including specialized subagents, routing and delegation workflows, prompt strategies, context management, and structured agent contracts. Diagnose conversational issues through transcript analysis, build prototypes using APIs and light coding, develop RAG and fine-tuning workflows, and create multimodal prompting strategies. Train colleagues and AI agents while documenting practices and leading initiatives in conversational AI.

A 12-week Salesforce AI Labs internship for emerging technical talent. Interns contribute to AI solutions in product engineering, product management, customer delivery, or enterprise transformation; collaborate across disciplines on a capstone project; use AI-native tools and agents; own projects from experimentation through delivery; and present results at Demo Day. The role provides mentorship and exposure to enterprise-scale AI development, with potential consideration for Salesforce’s AI Labs rotational fellowship.

Manages a portfolio of 500–750 mid-level donors, building relationships through personalized communications, solicitation, stewardship, and events. Tracks retention, revenue, contacts, and prospect qualification in Virtuous CRM; researches donor interests, develops fundraising strategies, and transitions qualified donors into major gift portfolios. Collaborates with development staff, volunteers, direct mail, and digital fundraising teams while preparing reports and supporting donor cultivation activities. Requires 20–30% local travel and occasional evening or weekend availability.

Leads Harvey’s global integrated campaign strategy from audience segmentation and positioning through execution, measurement, and optimization. Partners with Product, Sales, communications, events, alliances, and field marketing to create coordinated programs that build awareness, engagement, pipeline, and revenue. Develops evidence-based messaging, manages campaign investments, establishes measurement rigor, and builds AI-enabled marketing processes across research, creative development, personalization, localization, and performance analysis.

Tenure-track faculty member conducting independent computational linguistics research, publishing scholarly work, pursuing external grants, and teaching language technology, NLP, computational speech processing, foundational linguistics, and related AI or cognitive science courses. The role includes mentoring undergraduate and graduate students, supervising research, contributing to interdisciplinary AI and cognitive science programs, and collaborating across the university.

Manage a strategic enterprise CPG account for Databricks, building executive relationships, expanding platform adoption, driving value-based growth, exceeding pipeline and revenue targets, forecasting in Salesforce, and leading solution-based sales involving big data, cloud, SaaS, analytics, and AI.

Analyze operational, financial, HR, and job-management data; build dashboards, predictive models, and business forecasts; identify and implement AI and automation opportunities; integrate AI tools through APIs and automation platforms; measure productivity and KPI improvements; support tool adoption and training; and ensure responsible data and AI practices.

Leads enterprise AI strategy, roadmaps, and project portfolios from ideation through deployment. Manages AI scientists and engineers, partners with executives and stakeholders, translates business needs into technical requirements, and drives AI adoption, governance, education, and measurable business impact. Oversees solutions using analytics, machine learning, generative AI, data engineering, and related technologies while establishing success metrics and ensuring timely, budget-conscious delivery.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Design and implement backend orchestration for agent workflows and runtime in microservices. Build scalable LLM-powered systems (RAG, tool-use, multi-step reasoning), integrate LLM/TTS/ASR, develop agents with frameworks like LangChain/Dify/OpenAI SDK, optimize prompts, run integration tests, and collaborate with research and product teams to deploy agentic AI across verticals.

Leads multiple complex construction and heavy industrial projects from planning through closeout. Manages scope, schedules, budgets, resources, risks, contracts, quality, safety, documentation, and stakeholder communications. Coordinates internal teams, designers, suppliers, contractors, manufacturers, and clients while monitoring project performance and corrective actions. Develops project plans, KPIs, forecasts, reports, and mitigation strategies, authorizes expenditures, and promotes accountability and continuous improvement at an on-site manufacturing facility.