Top Artificial Intelligence Jobs

Build enterprise AI-agent applications using React and TypeScript, owning features from frontend architecture through backend integration, testing, deployment, and production support. Develop interfaces for agent progress, approvals, human review, results, errors, and multi-step workflows. Integrate agent orchestration, APIs, tools, retrieval, and enterprise systems while contributing to backend services. Participate in architecture and code reviews and apply strong reliability, testing, debugging, and performance practices.

Serves as Danaher’s lead legal advisor on artificial intelligence, advising on AI regulations, privacy, healthcare, technology, intellectual property, contracting, data governance, and compliance. Partners with technical and business teams to embed legal requirements into AI development and deployment. Supports AI risk assessments, executive approvals, vendor agreements, privacy impact assessments, cross-border data transfers, and responsible AI governance.

Leads HubSpot CRM implementation, governance, optimization, integrations, data migration, and user adoption. Develops business intelligence strategies, dashboards, reports, and actionable insights for sales, marketing, and executives. Drives sales enablement through training, documentation, change management, and performance reporting. Partners with marketing on campaigns, segmentation, event tracking, and ROI measurement while identifying automation, AI, and process-improvement opportunities.

Lead the architecture and delivery of scalable, secure enterprise AI and generative AI solutions. Design systems using LLMs, RAG, AI agents, embeddings, vector databases, and cloud AI platforms. Establish architecture standards, governance, security, and responsible AI practices; evaluate models and platforms; integrate solutions with enterprise applications; lead technical reviews and proof-of-concepts; and guide implementations from concept through production. Mentor engineering teams and communicate AI strategies to technical and business stakeholders.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Build and operate bare-metal AI and Kubernetes platforms, deploy and optimize large language models, and transition provisioning to Terraform- and Ansible-managed infrastructure. Responsibilities include OpenShift administration, platform observability, DNS and core services, cybersecurity compliance, feasibility assessments, documentation, and OCONUS hardware bootstrap support. The role requires strong Linux administration, AI model deployment, infrastructure-as-code, container platform, and DoD environment experience.

Leads cyber and AI systems architecture for complex federal pursuits supporting the Department of War and Intelligence Community. Develops agentic-AI-enabled cyber solutions, evolves offerings, partners with technology providers and research teams, and designs solutions for SOC modernization, threat hunting, and automated cyber defense. Manages and mentors solution architects, establishes scalable solutioning standards, and translates complex technical and mission concepts into compelling proposals and delivery plans.

Develop and maintain AI-powered applications, agents, automations, and integrations for legal and operational workflows. Build LLM tools, RAG systems, APIs, and workflow automations using Python and/or JavaScript/TypeScript. Manage projects from prototype through deployment, evaluate AI performance, maintain secure integrations, and collaborate with attorneys, leadership, and technical teams to improve internal processes.

Support AI and data transformation initiatives for investment research. Collaborate with portfolio managers, research analysts, and data teams to identify use cases, define requirements, prototype AI-native tools, build data pipelines and evaluation harnesses, iterate on agents and prompts, analyze investment data, and translate investment workflows into product specifications.

Design, deploy, and operationalize enterprise AI systems integrating LLMs with legacy architectures. Responsibilities include architecting scalable infrastructure, configuring distributed compute clusters, developing low-latency data pipelines, optimizing networks, implementing secure APIs and data governance, establishing MLOps practices, and mentoring engineers. The role supports mission-driven government and commercial client solutions and requires collaboration with data scientists, systems engineers, and stakeholders.

Design and implement AI architectures and solutions for client business needs. Develop innovative solutions using generative and agentic AI, deep learning, computer vision, NLP, and related technologies. Apply software engineering expertise, work independently, mentor team members, and potentially lead Agile teams. The role requires a bachelor’s degree, Secret clearance eligibility, and at least two years of relevant experience.

Develop and enhance LangSmith frontend features using React and TypeScript. Build reusable components, translate designs into high-quality interfaces, optimize performance across browsers and devices, and collaborate with backend, full-stack, and UX/UI teams to improve usability and product quality.

Own the AI product roadmap, prioritization, accuracy metrics, model and vendor requirements, release planning, and correction feedback loop. Partner with engineering, product, tax, QA, UX, and client success to improve document extraction coverage, accuracy, cost, latency, and filing readiness across K1x products.

Build and operate Kubernetes-based AI/ML infrastructure, including GPU scheduling, multi-tenant isolation, platform services, infrastructure as code, GitOps, CI/CD, observability, and reliability practices. Deploy reproducible platforms in cloud, restricted, and disconnected environments. Develop runbooks, support incident response, contribute to open-source infrastructure projects, and collaborate with security engineers and government stakeholders. The role requires production infrastructure experience, cloud expertise, programming skills, and eligibility for a U.S. security clearance.

Leads the vision, strategy, organizational development, and business performance of DEUNA’s agentic AI product organization. Oversees Product Managers, defines scalable AI agent orchestration capabilities, partners with engineering on platform architecture, and drives automation, evaluation, monitoring, safety, compliance, and enterprise adoption. The role also aligns product initiatives with growth, revenue, merchant needs, and market expansion.

Ten-week graduate internship supporting consumer deposit and payment product initiatives through strategic analysis, research, reporting, process improvement, and cross-functional project leadership. The intern will develop recommendations, present insights to senior management, support product and policy improvements, manage multiple initiatives, and collaborate with internal stakeholders and external advisors. The program emphasizes leadership development, customer-centric innovation, risk management, digital transformation, and preparation for a two-year development program.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

The Senior Product Manager will lead the lifecycle of secure payment products, translating customer needs into requirements, driving cross-functional collaboration, and innovating through AI and ML.

Digital Innovation Intern supporting R&D by developing predictive formulation tools and AI-enabled scientific workflows. Responsibilities include literature review, automated data capture and quality assessment, feature extraction, predictive modeling, virtual experimentation, image analysis, computational chemistry, LLM and agentic workflow development, documentation, and technical presentations. The role collaborates with formulation scientists and digital innovation leaders to improve scientific data analysis and formulation research.

Conduct research on mechanistic interpretability and deep-learning model representations, publish findings, engineer infrastructure for studying model internals at scale, collaborate across teams, and guide research toward useful and scalable AI alignment and safety outcomes.

Develop and maintain Retrieval-Augmented Generation pipelines, LLM integrations, REST APIs, and self-hosted LLM deployments. Conduct LLM alignment red teaming, independently research emerging AI/ML methods, and develop advanced AI applications. The role requires strong Python and AI/ML framework expertise, with preferred experience in model evaluation, fine-tuning, inference optimization, vector databases, AWS, Docker, and scalable data architectures.

Lead go-to-market planning and execution for product and feature launches. Align product, sales, marketing, and customer success; craft messaging and positioning; build sales enablement; drive feature adoption with content and campaigns; act as product subject matter expert (including AI capabilities); and develop thought leadership and competitive content.

Director-level role focused on global operations, data, and artificial intelligence at Callaway Golf Company. The provided description includes company background, diversity information, and compensation, but does not specify detailed responsibilities or qualifications.

Corporate Controller leads accounting operations, GAAP financial reporting, monthly close, consolidations, technical accounting, treasury, tax coordination, internal controls, audits, and M&A integration. The role builds and develops a distributed accounting organization, improves close timelines through automation and process optimization, oversees compliance with U.S. GAAP and complex transactions, supports executive reporting and forecasting, and partners cross-functionally on scalable finance systems and processes.

Lead product marketing and go-to-market strategy for TripleLift’s AI-powered advertising products across CTV, video, native, retail media, and emerging formats. Own positioning, messaging, launches, packaging, buyer personas, sales enablement, competitive intelligence, and thought leadership. Translate machine learning, predictive modeling, automation, and measurement capabilities into business value for enterprise brands, agencies, and publishers while partnering across Product, Engineering, Sales, ABM, Demand Generation, and Marketing Operations to drive pipeline and revenue.