Top Artificial Intelligence Jobs

Own the vision, strategy, roadmap, and outcomes for Augeo’s Incentives product domain. Partner with AI, data science, engineering, and business teams to build ML-driven incentive decisioning, experimentation, personalization, catalog configuration, and automation capabilities. Translate incentive economics and stakeholder needs into prioritized requirements, measure engagement and ROI, ensure privacy and governance compliance, and lead cross-functional planning and delivery.

Own the strategy and roadmap for fraud risk case resolution platforms, including AI-assisted review, automation, self-service, and case management. Partner with Risk Operations, Engineering, Data Science, Analytics, and Compliance to define scalable workflows, requirements, metrics, auditability, and decisioning processes. Use operational data to improve automation, workload reduction, decision quality, customer outcomes, and compliance across regulated markets.

Leads analytical platform science and characterization for targeted lipid nanoparticle genetic medicines. Establishes scientific strategy, develops advanced analytical technologies, drives mechanistic understanding, and translates characterization data into development decisions. Manages and mentors multidisciplinary scientists, builds capability roadmaps, leads cross-functional CMC collaboration, and develops relationships with academic partners, technology providers, CROs, and CDMOs.

Plan and lead humanoid robot deployment use cases, build and execute operational and testing plans, and drive product and feature improvements using field feedback. The role owns workflows, roadmaps, team strategy, and customer-facing deployment execution while coordinating high-pressure, hands-on technology development and testing.

Lead end-to-end deployment of Braze AI decisioning solutions, including use case design, operating model definition, technical configuration, integration architecture, workshops, and UAT. Manage customer stakeholders, deliverables, risks, and executive communication while improving deployment processes and playbooks. Contribute conceptual machine learning and architectural expertise and influence the product roadmap through customer insights.

Leads BHSI’s global data strategy and Data Office, establishing governance, improving data quality, modernizing the data ecosystem, enabling analytics and AI, and promoting data literacy. Partners with Technology and business leaders to deliver actionable insights, support underwriting, claims, actuarial, and functional teams, and make data a strategic business asset. Builds cross-functional accountability through data stewardship and drives enterprise-wide transformation.

Conduct open-ended AI research and prototyping for robotic-assisted surgery. Develop and evaluate solutions using computer vision, generative AI, robotics, autonomy, and agentic AI. Collaborate with researchers, engineers, and clinical experts, document findings, present results, and contribute to publications or patents.

Designs, tests, optimizes, and documents large language model prompts for scalable healthcare conversation scoring. Collaborates with engineering, product, implementation, and data-labeling teams to improve scoring accuracy, prompt workflows, tooling, and standardization. Maintains a reusable prompt library, evaluates prompts using labeled datasets, and identifies process inefficiencies. The role requires strong LLM, NLP, and prompt-engineering knowledge, with preferred experience in data labeling, LangChain, OpenAI or GPT APIs, vector databases, linguistics, HCI, and Python automation.

Manage complex corporate and commercial transactions, including acquisitions, investments, divestitures, restructurings, and joint ventures. Draft and negotiate commercial, finance, licensing, vendor, supply, and partnership agreements across global jurisdictions. Advise on corporate structuring, risk management, market expansion, technology products, AI, data privacy, IoT, and employment matters while supporting integrations and strategic initiatives.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Leads cross-functional technical programs across engineering, product, leadership, and stakeholders. Owns roadmaps, schedules, risks, dependencies, security, privacy, compliance, operational readiness, and release coordination. Drives scalable processes and efficiency for cloud-based advertising and e-commerce products, collaborates with senior leadership, and helps develop the technical program management function.

Designs current- and future-state workflows for AI agents across product verticals. The role facilitates discovery, translates business needs into agent-ready requirements and acceptance criteria, identifies human-in-the-loop decisions, establishes reusable workflow standards, partners with UX and engineering, and validates workflows using user feedback, evaluation results, and performance data.

Deploys and supports enterprise AI assistants such as Microsoft Copilot and Claude, performs identity, security, data, licensing, and governance readiness activities, and manages AI platform services. Builds AI agents, automations, prototypes, and lightweight applications using APIs, low-code tools, and AI-assisted development platforms. Leads client workshops, training, adoption, troubleshooting, and responsible AI initiatives while translating business needs into secure, scalable enterprise solutions.

Own end-to-end enterprise AI sales for Cloudera’s supported OEM Mistral offering and Anywhere Cloud. Manage pipeline, outbound prospecting, account planning, proofs of concept, negotiations, contract closure, renewals, and expansion. Coordinate customer engineering, product, legal, implementation, partner, and executive stakeholders while maintaining commercial ownership. Sell technical AI and data platform solutions across on-premises, public cloud, and hybrid environments, engaging senior decision-makers and translating technical value into strategic, multi-year agreements.

Leads enterprise AI/ML engineering strategy and governance, partnering with executive stakeholders, AI platform leaders, product owners, Legal, InfoSec, and Responsible AI teams. Directs Principal AI Engineers and Scientists, oversees production ML reliability and scalable data science code, and makes deployment decisions using governance frameworks, evaluation architectures, dashboards, and AI registration systems. Manages team planning and ensures compliance with corporate policies, AI safety standards, and risk frameworks.

Lead the design, development, deployment, and optimization of agentic AI, LLM, machine learning, and propensity-modeling solutions. Build models predicting customer behavior, churn, and lifecycle triggers; consolidate models; manage feature engineering, production pipelines, monitoring, and continuous improvement. Provide technical mentorship, communicate model insights and performance to leadership, and partner with marketers and business teams to deliver personalized customer experiences.

Leads enterprise technology and innovation strategy across AEC delivery, BIM, CAD, AI, automation, data, digital workflows, IT operations, cybersecurity, and federal compliance. Builds technology roadmaps, evaluates investments, manages vendors and budgets, drives adoption and training, and oversees BIM, CAD, and IT Operations leaders. Ensures technology initiatives improve productivity, quality, collaboration, client outcomes, and organizational capacity while meeting CMMC, CUI, and NIST requirements.

Own customer onboarding, rollout, adoption, retention, renewals, and expansion for dealership accounts. Lead trainings, QBRs, operating cadences, escalations, and KPI tracking while building trusted relationships with dealership leaders. Coordinate with product and engineering on integrations, troubleshooting, and customer feedback. The role also contributes to improving customer success playbooks and processes in an early-stage B2B SaaS environment.

Supports EUV lithography and semiconductor manufacturing research through experiment design, cleanroom process coordination, metrology and process-data analysis, lithography performance evaluation, and process optimization. Projects may address photoresist performance, critical dimensions, registration, line width roughness, and patterning improvements. The intern communicates technical findings through reports and presentations, collaborates with multidisciplinary engineering teams, and applies AI-assisted tools to research and engineering workflows.

Provide product-focused IP counsel across the product lifecycle for AI/ML systems, advising on IP strategy, data and open-source licensing, patent and trademark management, commercial agreements, risk mitigation, and cross-functional training. Partner closely with Research, Product, Engineering, and business teams to embed IP protection and ensure compliance while supporting patent prosecution and enforcement globally.

Build and deploy production-grade full-stack AI applications for semiconductor manufacturing and autonomous operations. Responsibilities include data pipelines, model training and inference, APIs, web interfaces, digital twin integrations, robotics and sensor integrations, LLM and agentic AI capabilities, and cloud or edge deployments. The role also covers containerization, Kubernetes, CI/CD, GPU optimization, simulation, monitoring, and responsible AI practices.

Develop and deploy AI models using Python and Azure, advance Agentic AI applications, optimize data workflows, and validate model reliability and scalability. Collaborate with Agile teams to deliver project solutions, provide technical expertise, and stay current with AI and cloud technology advancements.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Leads performance and growth marketing strategy across SEM, paid social, SEO/AEO, and emerging channels. Owns channel expansion, measurement frameworks, personal loan acquisition strategy, AI-first workflow transformation, and team structure. Acts as a player-coach for Growth Marketing Managers, balancing strategic leadership with hands-on campaign execution, testing, and analysis. Partners cross-functionally with product, analytics, data science, and compliance in a regulated fintech environment.

Supports enterprise data modeling, integration, quality improvement, and machine-learning projects in a manufacturing environment. Responsibilities include product-family classification using BOM data, feature development, model testing, validation, MLOps and AI research, agentic workflow mapping, controlled AI testing, documentation, and communicating findings to technical and business stakeholders. The intern collaborates across departments while gaining practical experience in data engineering, machine learning, and AI-enabled process improvement.