Top Artificial Intelligence Jobs

Leads and develops a mechanical engineering team designing electromechanical infusion systems from concept through commercialization and sustaining support. Oversees mechanical engineering execution, design quality, risk management, verification, design transfer, manufacturing readiness, production scale-up, supplier coordination, and reliability. Partners across R&D, Quality, Regulatory, Manufacturing, Supply Chain, and external organizations while building engineering capabilities and integrating responsible AI-enabled workflows.

Leads technical diligence and investment strategy for emerging AI and machine learning technologies supporting Intelligence Community and Department of Defense partners. Identifies AI/ML investment areas, evaluates startups and mission applications, negotiates Statements of Work, oversees technology development efforts, assesses deliverables, and guides AI architecture and adoption strategies. Presents technical recommendations to technical and non-technical stakeholders while addressing AI security, production deployment, and long-term mission readiness.

Build AI-driven pipelines and automated validation frameworks for radar, RF, sensor, software, firmware, and FPGA systems. Develop anomaly detection, root cause analysis, LLM-powered telemetry interpretation, monitoring dashboards, and CI/CD-integrated testing workflows. Collaborate with hardware and systems engineers to improve defense and sensing products. The role requires production-grade Python, sensor-data expertise, hardware-in-the-loop experience, and on-site work in El Segundo, California.

Analyze, validate, curate, harmonize, and transform large life sciences datasets using databases, ontologies, statistical methods, scripting, and AI/LLM approaches. Identify data-quality issues, perform corrections, integrate biological data sources, define quality metrics, and create reports and visualizations. Collaborate with scientists, data stewards, and technical teams to improve workflows, document standards, and develop scalable data solutions.

Leads enterprise data analytics, automation, AI, and machine learning initiatives across federal mission areas. Responsibilities include roadmap and governance development, multidisciplinary team leadership, analytics product oversight, AI/ML pilots, responsible-AI controls, authorization and cybersecurity integration, data protection, executive briefings, and benefits measurement. Requires active TS/SCI clearance, extensive regulated-environment experience, and the ability to guide initiatives from use-case definition through deployment and monitoring.

Leads the firm-wide operating framework for deploying and governing AI systems. Owns AI lifecycle operations, production readiness, evaluation, monitoring, security, documentation, governance, and risk controls. Partners with engineering, data science, security, business, and control teams to scale responsible AI capabilities, address threats such as prompt injection and data exposure, and report operational health to senior management.

Own major areas of DISCO’s AI-powered unified litigation platform from discovery through launch and iteration. Work with litigators to understand complex workflows, define product priorities, establish success metrics, and guide Engineering, AI, Design, and go-to-market teams. Drive integrations, collaboration, speed, auditability, drafting, case strategy, and trial-preparation capabilities. Use customer feedback, usage data, and quality metrics to make prioritization decisions and communicate progress, risks, tradeoffs, and dependencies to stakeholders.

Leads production planning, budgeting, forecasting, performance management, competitive intelligence, and executive reporting. Establishes production targets, analyzes variances and marketing economics, identifies risks and opportunities, and provides actionable insights to senior leadership. Partners cross-functionally with Finance, Marketing, Credit, and Operations while modernizing reporting and decision-making through AI-enabled tools, automation, advanced analytics, and improved monitoring capabilities.

Own and grow enterprise accounts across Southern California, driving revenue and gross profit through strategic technology sales. Develop account plans, identify and close complex opportunities, build executive relationships, and coordinate engineering, consulting, services, and technology partners. The role requires consultative selling across cloud, cybersecurity, AI, data, infrastructure, and managed services, along with pipeline discipline, accurate forecasting, and consistent achievement of growth objectives.

Leads global sales operations by managing forecasting, pipeline oversight, sales performance measurement, revenue reporting, KPI frameworks, and continuous improvement. Partners with Sales, Finance, Product Management, and Customer Service leaders to improve commercial processes, revenue growth, forecast accuracy, and operational efficiency. Uses CRM platforms, analytics, and artificial intelligence to enhance sales campaign effectiveness and facilitate global business reviews.

Lead commercial structuring and field pricing execution for large, complex enterprise deals. Partner with sales, pricing strategy, and value management to design repeatable programs, drive pricing execution, analyze deal profitability, and coach account teams to scale high-growth outcomes.

Provides broad legal counsel to the company and affiliates, focusing on commercial contracts, regulatory compliance, employment matters, corporate governance, risk management, claims, and litigation support. Drafts and negotiates agreements, manages contract systems, coordinates outside counsel, advises business units and HR, conducts legal research and investigations, develops policies and training, and maintains corporate and legal records.

Leads enterprise security architecture for cloud, AI, LLM, and emerging technology initiatives. Establishes security standards and guardrails, conducts architecture reviews, secures AI governance and delivery pipelines, configures detection and observability capabilities, and advances DevSecOps and software supply-chain security. Evaluates security findings, monitors threats and regulations, and presents risk assessments to leadership. Requires extensive security architecture experience, AWS expertise, AI security knowledge, and strong communication skills.

Conduct fungal genome annotation and bioinformatic analyses focused on genotype-phenotype relationships. Develop AI platforms, software, data schemas, web services, and workflows supporting fungal genomics research and education. Support student-led projects, create instructional materials, publish findings, present research, and collaborate with scientists and faculty. The role requires a PhD in bioinformatics or a related field, coding experience, AI tool development experience, and scientific communication skills.

Sanofi offers a 12-week summer internship in Swiftwater, Pennsylvania, across pharmaceutical manufacturing, process engineering, automation, analytical sciences, medical affairs, pharmacovigilance, supply chain, project management, and related disciplines. Interns contribute to real biopharmaceutical projects while receiving mentorship and professional development. Candidates must be enrolled in an eligible degree program, graduate by the end of 2028, be permanently authorized to work in the United States without sponsorship, relocate to the site, and work 40 hours weekly.

Sanofi seeks 2027 summer interns for 10–12-week, onsite roles in Cambridge, Massachusetts. Opportunities span translational research, drug product development, biostatistics, medicinal chemistry, machine learning and AI, product launch strategy, UX design, medical evidence generation, biology, data science, and data engineering. Interns will contribute to healthcare and biopharmaceutical research while working full time with mentors and collaborative teams.

Summer co-op opportunities at Sanofi for students across neuroscience, analytical development, chemistry, immunology, molecular biology, biostatistics, AI and machine learning, drug product development, medical affairs, and related disciplines. Co-ops last 4–6 months beginning June 2027 and require full-time onsite work in Cambridge, Massachusetts. Candidates contribute to pharmaceutical R&D, scientific research, healthcare initiatives, or corporate functions while receiving mentorship and professional development.

Own commercial strategy, enterprise sales, pricing, partnerships, and deal execution for an automated biomanufacturing platform. Lead complex pharmaceutical agreements, strategic technology partnerships, executive customer relationships, forecasting, and commercial operations. Partner with Product, Engineering, Finance, Marketing, and Legal to structure scalable deals and shape the product roadmap. Build and manage the commercial pipeline, processes, and customer-facing team while representing the company with biopharma customers and industry partners.

Leads omnichannel marketing strategy and execution for HCP, patient, and caregiver audiences in oncology and cell therapy. Owns audience planning, digital and media campaigns, agency partnerships, budgets, measurement, optimization, compliant promotional review, and cross-functional delivery. Guides paid media, CRM, email, websites, and emerging digital capabilities while translating customer insights into coordinated engagement journeys and investment recommendations.

Lead complex enterprise implementations of Butterfly’s healthcare software across large hospital systems and strategic accounts. Manage timelines, risks, issues, stakeholder communications, customer relationships, technical and clinical presentations, and cross-functional integration efforts. Mentor project teams and improve project management standards, methodologies, and tools. The role requires extensive hospital IT, medical imaging operations, healthcare technology project management experience, and PMP certification.

Own the roadmap for Lyft’s rider-facing ML and AI products across the Rider Application. Define model objectives, product metrics, experiments, rider value strategies, and personalization capabilities. Partner with machine learning engineers, data scientists, and stakeholder teams to drive adoption, financial outcomes, and model performance. Lead product requirements, planning, executive presentations, and cross-functional delivery for technically complex products.

Researches and tests AI applications for HR processes, including communications, documentation, knowledge management, employee support, data insights, and workflow automation. Maps current and future-state processes, develops reusable prompts and tools, documents pilot results, and helps establish responsible AI practices addressing privacy, security, bias, accuracy, and human oversight. Partners with HR, IT, Legal, Privacy, and other stakeholders while educating HR teams on practical AI use.

Leads the end-to-end development of an autonomous electric ATV from prototype through production. Defines program strategy, product priorities, technical roadmaps, requirements, performance targets, and manufacturing readiness. Coordinates mechanical, electrical, software, AI, operations, suppliers, and leadership while managing tradeoffs among cost, performance, schedule, risk, and manufacturability. Drives resource allocation, validation, reliability growth, build-versus-buy decisions, and organizational improvements.

Creates and coordinates client-facing communications about the firm's AI capabilities, including responses to inquiries, RFPs, website content, presentations, and thought leadership. Maintains approved messaging libraries, manages review processes, tracks AI client projects, and partners with marketing, legal, security, risk, and technical teams. Independently manages multiple time-sensitive projects and uses analytics and feedback to improve digital content and client engagement.

Leads AI-enabled targeting and intelligence analysis as the principal SME. Applies machine learning, advanced analytics, data exploitation, and intelligence collection methods to identify threats, analyze complex datasets, develop targeting packages, and brief senior stakeholders. Oversees analytic modernization, cross-domain integration, AI governance, data architecture, ETL pipelines, secure infrastructure, and application development across air-gapped and hybrid environments.