Top Artificial Intelligence Jobs

Leads ExtraHop’s product marketing function, including team leadership, portfolio positioning, messaging, product launches, competitive analysis, sales enablement, content development, integrated campaigns, and executive-level customer and industry engagement. The role requires deep cybersecurity and enterprise technology expertise, strong storytelling and technical communication skills, and collaboration across product, sales, marketing, and partner teams.

Lead systems engineering for the Focalist medical-device platform, translating clinical and business needs into technical requirements and specifications. Responsibilities include cross-functional feature development, engineering studies, risk assessments, verification test methods, prototype integration and debugging, configuration management, FMEA and system hazard analysis, feature prioritization, and lifecycle KPI tracking. The role collaborates with product management and engineering teams to support commercialization.

Summer interns will contribute to software, data engineering, AI/ML, cybersecurity, laboratory knowledge, and visualization projects. Responsibilities may include building data pipelines and ML solutions, developing software in C# or C++, preparing datasets with Python and SQL, connecting laboratory data systems, and supporting cybersecurity monitoring and incident response. Interns will gain industry experience through mentorship, coaching, collaboration, and real-world project work.

Design and implement enterprise AI solution architectures addressing client business needs. Lead cloud architecture, platform engineering, and development teams; train LLMs; deploy scalable AWS applications; and apply Big Data and data migration expertise. Provide technical guidance, mentor team members, and ensure solutions meet organizational, security, compliance, and ethical requirements. The role requires advanced technical expertise, independent problem-solving, and TS/SCI clearance with polygraph.

Conduct AI research for molecular and biological design within GenBio AI’s Virtual Cell World Model. Develop, implement, and debug deep learning models using frameworks such as JAX, TensorFlow, or PyTorch, with potential applications in generative modeling, graph neural networks, protein structure prediction, molecular design, and distributed training. Collaborate across AI and biology while operating independently in an interdisciplinary startup environment.

Owns the strategy, backlog, discovery, delivery, and optimization of AI-powered agent and conversational experiences for students. Partners with engineering, UX, analytics, and business stakeholders to define requirements, prioritize roadmaps, launch software products, measure performance, and improve customer and business outcomes across web, mobile, messaging, and CRM channels.

Lead Humana’s enterprise AI Enablement organization and build an Agentic Development Lifecycle platform across multiple engineering workstreams. The role combines organizational leadership, Agile and DevOps transformation, platform delivery, AI governance, and hands-on technical contribution. Responsibilities include reviewing and writing architecture decisions, prototyping agent systems, evaluating agent behavior, integrating tools, contributing reference implementations, participating in code reviews, coaching teams, and communicating progress to senior leaders in a regulated healthcare environment.

Build, operate, and improve business automations, system integrations, and AI-powered workflows. Connect ERP, CRM, and enterprise platforms using APIs, webhooks, JSON, and automation tools. Develop Python scripts, manage prompts and LLM integrations, transform operational data, troubleshoot deployed workflows, and support enterprise adoption through training and documentation.

Build, operate, and improve business automations, system integrations, and AI-powered workflows. Connect ERP, CRM, and enterprise platforms through APIs, webhooks, connectors, and structured data. Develop Python scripts, manage prompts and AI integrations, monitor workflow performance, troubleshoot issues, transform operational data, and support organization-wide tool adoption through training and documentation.

Provide legal counsel on commercial transactions, including IT/SaaS, sponsorship, vendor, customer, licensing, and general contracts. Draft, review, and negotiate agreements; support due diligence and closing documents for investments and acquisitions; advise on AI-related transactions and legal-department AI implementation; and collaborate with compliance, technology, risk, operations, and business stakeholders.

Lead software engineering and developer advocacy initiatives across Barclays. Build production-grade applications, technical demonstrations, proof-of-concepts, workshops, and reference implementations while promoting cloud, automation, CI/CD, AI, and modern engineering practices. Engage engineering communities through hackathons, technical content, mentoring, and knowledge-sharing programs. Partner with platform owners and technology leaders to improve developer experience, drive adoption, influence technical strategy, and strengthen engineering quality, security, and productivity.

Own customer activation, onboarding, pilots, implementations, and training for an AI-driven pricing and deal platform. Partner with pricing, RevOps, Product, Finance, and GTM leaders to connect customer needs, data insights, and product capabilities. Identify repeatable deployment patterns, create playbooks, improve adoption and expansion, and influence product and go-to-market strategy through hands-on client work.

Lead mechanical architecture and manufacturing strategy for autonomous robotic pharmacy systems. Design high-precision electromechanical mechanisms, guide products from concept through production, establish DFM and supplier strategies, create build-to-print documentation, and integrate robotics, computer vision, AI, and controls. Own design verification, validation, reliability testing, FMEA, regulatory considerations, and continuous improvement for systems deployed at scale.

Supports IT and manufacturing technology initiatives involving asset management, documentation, process improvement, automation, data quality, IT/OT systems, ERP, cybersecurity, and approved AI projects. The intern researches technology solutions, documents requirements and processes, identifies self-service and workflow improvements, and collaborates with IT, Engineering, Operations, and other teams on defined projects.

The Chief Revenue Officer will lead BARBRI’s global commercial strategy across sales, marketing, and go-to-market operations. Responsibilities include driving revenue growth, customer acquisition, digital conversion, retention, cross-sell, strategic account expansion, forecasting, AI adoption, and channel integration. The CRO will build high-performing commercial teams, strengthen institutional and enterprise relationships, oversee direct and digital revenue channels, and engage executive stakeholders across global markets.

Build and lead Precision Neuroscience’s partnership function across the life sciences and healthcare ecosystem. The role owns strategic partnership pipelines, structures and negotiates complex technology and scientific collaboration agreements, advises leadership on deal strategy, translates technical work into commercial narratives, and establishes partnership processes for an early-stage neurotechnology company.

Drive enterprise revenue growth across South Florida by acquiring new accounts, expanding the install base, managing the full sales cycle, developing territory plans, forecasting, building partner channels, and closing complex networking and security solutions. The role requires executive-level selling, quota attainment, technical business-value communication, pipeline development, and use of AI tools for prospecting, account planning, forecasting, and customer engagement.

Leads AI/ML architecture and enterprise application development for AHRQ. Establishes implementation standards, designs interfaces, reviews solutions, coordinates developers and DBAs, and supports Agile delivery. Develops scalable reusable code, CI/CD pipelines, security and data protection measures, and performance optimization. Guides AI/ML prototyping, evaluation, deployment, monitoring, and responsible AI practices. Mentors developers, collaborates with stakeholders, documents technical processes, and supports cloud-native systems and product roadmaps.

Leads AI/ML-focused DevOps, application development, and infrastructure initiatives. Builds CI pipelines, automates deployment and operational processes, manages cloud and server environments, troubleshoots systems, monitors performance, and implements security measures. Collaborates with architects, developers, DBAs, stakeholders, and users to deliver reliable applications and AI/ML capabilities. Participates in Agile ceremonies, code reviews, documentation, incident management, mentoring, and technical planning.

Leads AI and software application development for AHRQ, coordinating developers and DBAs, implementing AI strategy, and supporting Agile delivery. Designs reusable, scalable code; integrates and deploys AI/ML capabilities; develops and evaluates generative AI and LLM solutions; maintains CI pipelines; optimizes performance; implements security and data protections; conducts code reviews; documents technical processes; and mentors development staff.

Develop machine learning applications and AI technologies for industrial asset performance monitoring. Collaborate with data scientists, engineers, customers, and product managers; evaluate emerging technologies; create scalable data-driven models; and contribute research, innovation strategies, and technical thought leadership for AspenTech software platforms.

Leads organizational change and adoption for AI initiatives, Planisware enhancements, workflow automation, and reporting modernization across drug development. Develops stakeholder engagement, communications, training, readiness, and reinforcement strategies; builds change champion networks; tracks adoption and value-realization metrics; supports responsible AI use; and coordinates user acceptance testing, go-live readiness, and post-implementation monitoring.

Designs and integrates AI/ML models, agents, and workflows for secure, enterprise-scale mission capabilities. Responsibilities include developing agent orchestration, RAG pipelines, vector database integrations, MCP tool brokers, model routing, evaluation and benchmarking pipelines, observability, governance guardrails, and production AI services. Partners with data scientists and mission analysts to operationalize prototypes and researches emerging AI tooling.

Designs and integrates production AI/ML systems for a secure enterprise AI platform supporting cyber and national mission operations. Responsibilities include building LLM agent workflows, RAG pipelines, vector database integrations, model routing, MCP tool brokers, evaluation frameworks, observability, and governance guardrails. The role partners with data scientists and mission analysts to productionize prototypes and research while evaluating emerging AI technologies.

Lead MEDvidi’s product and engineering organization across product management, engineering, design, data, and product marketing. Define and execute an AI-first product strategy, oversee multiple product tracks, drive company-level OKRs, improve execution and culture, and partner with the CEO on strategic initiatives. The role requires hands-on AI product expertise, executive communication, behavioral design, data-driven decision-making, and leadership of large cross-functional teams.