Top Artificial Intelligence Jobs

Design, build, deploy, and maintain production AI/ML systems, including models, data pipelines, training workflows, agentic systems, and RAG pipelines. Monitor and optimize reliability, scalability, performance, and costs while contributing to architecture decisions. Collaborate with product, engineering, and data teams, communicate technical tradeoffs, support junior engineers, and apply responsible AI, security, observability, and containerization practices.

Lead end-to-end design strategy for StackAdapt’s AI experience, including generative interfaces, trust-building interactions, AI evaluation, and complex data-rich workflows. Collaborate with Product, Engineering, Research, Revenue, Client Services, and Leadership to deliver scalable experiences, establish design frameworks, connect decisions to business outcomes, and mentor designers. The role requires strong interaction design, prototyping, information architecture, AI product experience, strategic thinking, and cross-functional communication.

Leads enterprise sales messaging strategy and operations across a complex, matrixed organization. Manages messaging programs, priorities, stakeholders, governance, capacity, and outcomes while coaching associates and resolving competing priorities. Develops activation plans, uses field feedback and engagement data to improve adoption, and applies technology and AI to streamline intake, drafting, reporting, and publishing. Partners with Sales, Product, Investment Groups, Marketing, and Learning and Development to deliver coordinated, actionable communications.

Leads USC Advancement’s enterprise transformation strategy across people, processes, data, technology, and organizational design. The role develops transformation roadmaps, modernizes operating models, advances AI and analytics capabilities, strengthens CRM and digital architecture, establishes governance and KPIs, manages change, and measures organizational value. As a senior executive advisor, the AVP leads complex cross-functional initiatives, oversees the transformation team, aligns resources with institutional priorities, and improves fundraising, alumni engagement, operational efficiency, and decision-making.

Build and ship software across Python backend services, React and Next.js applications, and AWS infrastructure. Apply language models such as Claude and Gemini to healthcare workflows and automation, improve production reliability, troubleshoot bugs, and collaborate on defining valuable solutions. The role is designed for a recent graduate who learns quickly, communicates clearly, and grows from smaller changes into owning features end to end.

Support a government customer as an expert AI/ML Engineer by developing advanced AI/ML architectures, responsible AI implementations, enterprise deployment strategies, and roadmaps advancing technologies from research to operational deployment. The role requires expertise in neural networks, reinforcement learning, model interpretability, MLOps pipelines, productionizing data science research, and deploying GPU-enabled deep learning applications.

Leads the AI Governance Program for a regulated mortgage lending division. Establishes governance structures, policies, risk-tiering methods, controls, use-case lifecycle processes, third-party AI oversight, and audit-ready documentation. Coordinates reviews across legal, compliance, security, privacy, data governance, model risk, vendor management, and enterprise risk teams. Reports AI governance KPIs and KRIs to senior leadership while providing independent challenge and ensuring AI systems meet regulatory and organizational requirements.

Develop advanced machine learning, data mining techniques, predictive models, and analytical frameworks to identify and mitigate cybersecurity threats. Integrate cybersecurity data sources and sensor technologies, collaborate with cross-functional stakeholders, and deliver actionable insights supporting client and mission objectives. The role requires substantial cybersecurity and data science experience, leadership capability, strong communication skills, a Top Secret clearance, and relevant education or certifications.

Owns strategic enterprise accounts across materials, chemicals, energy, and semiconductors. Responsibilities include developing multi-year account strategies, managing executive relationships, leading complex technical sales pursuits, negotiating large agreements, forecasting revenue, responding to technical RFIs and DDQs, and shaping commercial strategy. The role translates AI and autonomous laboratory capabilities into scientific and commercial value while partnering with product, science, software, robotics, legal, finance, and procurement teams.

Own a portfolio of top pharmaceutical accounts and drive revenue through multi-year account strategies, executive relationship development, complex enterprise pursuits, negotiations, renewals, and expansions. Partner with product, science, software, robotics, legal, finance, and procurement teams to close large agreements and scope high-value engagements. Maintain forecasts, lead technical RFI and DDQ responses, shape pricing and commercial strategy, and translate AI and autonomous-lab capabilities into credible scientific and business narratives.

Design and modernize enterprise network platforms across data center, campus, WAN, cloud, and edge environments. Build reusable automation services, APIs, data pipelines, observability integrations, cloud-native platforms, and AI-enabled workflows for NetOps and NOC operations. Advise clients on network architecture, automation, AIOps, responsible AI, resilience, and operational transformation while creating reusable frameworks, code components, reference architectures, and delivery accelerators.

Own federal customer programs from initial discovery and proposal through deployment, adoption, expansion, and renewal. Responsibilities include shaping requirements, writing proposal and contract language, pricing work, developing deployment plans, configuring the platform, training government users, documenting mission outcomes, and partnering with engineering on product improvements. The role requires deep federal acquisition expertise, customer-facing government sales experience, technical fluency with APIs and integrations, and frequent customer-site travel.

Manage a portfolio of corporate accounts, focusing on retention, renewals, product adoption, and expansion revenue. Build relationships with users and executive stakeholders, identify churn risks and growth opportunities, forecast retention, conduct business reviews, and collaborate with Account Executives. Serve as a client advocate, gather product feedback and customer success stories, and communicate insights internally to support product, marketing, and sales strategies.

Supports NGA modernization by designing and implementing AI integration strategies for intelligence production. Evaluates GOTS and COTS AI capabilities, develops adoption roadmaps, translates analyst needs into requirements, and embeds with intelligence teams to improve GEOINT workflows. Provides training, demonstrations, leadership briefings, technology investment guidance, and commercial AI assessments while ensuring security, compliance, and operational effectiveness in classified environments.

Build secure, customer-facing cloud and web applications while modernizing legacy products and embedding valuable AI capabilities. Translate customer and business needs into scalable software solutions, lead projects from concept to delivery, and establish repeatable engineering practices. Responsibilities include architecture and implementation, testing, troubleshooting, stakeholder collaboration, mentoring junior developers, code reviews, and staying current with software development trends.

Leads the firm’s brand strategy, positioning, storytelling, reputation, and integrated internal and external communications. Advises leadership, drives brand adoption across the organization, oversees digital and executive communications, modernizes workflows through technology and AI, and manages communications teams, agencies, budgets, governance, and performance measurement.

Tenure-track Professor and anticipated Computer Science Department Chair responsible for academic and strategic leadership, cybersecurity program development, accreditation, curriculum planning, teaching, advising, scholarship, faculty collaboration, and external partnerships. The role requires maintaining ABET accreditation, expanding cybersecurity education and research, supporting student success, managing departmental operations, and teaching undergraduate and graduate courses in multiple modalities.

Leads software architecture modernization and enterprise platform transformation initiatives. Establishes microservices standards, governance frameworks, modernization roadmaps, and AI-enabled service architectures. Conducts architecture reviews, drives technical decisions, develops AI integration standards, and mentors architects and development teams. Requires extensive solution architecture experience, enterprise modernization leadership, cloud-native and DevSecOps expertise, and an active Top Secret clearance with SCI eligibility.

Owns digital experience strategy and execution across web, email, and digital platforms to drive lead generation, engagement, conversion, and pipeline growth. Develops audience segmentation, personalization, customer journeys, testing programs, and funnel optimization strategies. Partners with marketing, sales, analytics, UX/UI, and operations teams to deliver high-volume campaigns, performance dashboards, and data-driven improvements for retail and institutional audiences.

Own the end-to-end design of Derin v2, an AI-powered healthcare research platform. Design intuitive workflows, dashboards, data visualizations, reporting views, and prototypes that help clients interpret complex behavioral insights. Build a scalable design system, ensure accessibility and accuracy, and partner with product, engineering, data science, behavioral science, and clients to ship iterative product improvements.

Build and deploy generative AI, agentic systems, and intelligent automation for enterprise business opportunities. Partner with business, product, engineering, risk, and platform teams to discover use cases, develop proofs of value, scale solutions into production, and establish reusable AI capabilities. Evaluate quality, reliability, security, privacy, cost, and responsible AI controls while influencing stakeholders and supporting adoption.

Leads Middle & Large Business modernization across underwriting, product, operations, technology, and data. Owns a portfolio of initiatives from business case through benefit realization, develops modernization roadmaps, simplifies processes, enables automation and AI use cases, and drives measurable improvements in productivity, cycle time, adoption, and customer experience. The AVP advises senior executives, manages cross-functional dependencies and investments, and leads product owners and product managers through organizational change and capability delivery.

Conduct AI-enabled penetration testing across web applications, APIs, networks, cloud, mobile, and AI/LLM systems. Perform reconnaissance, vulnerability assessment, controlled exploitation, security analysis, and reporting using manual and automated tools. Identify risks including prompt injection and sensitive data exposure, collaborate on remediation, support secure development, and assess compliance with security standards.

Supports the Production Control Tower by reviewing KYC and process-break reports, escalating issues, coordinating remediation, and identifying emerging risks. Assists with risk and control self-assessments, control testing, internal audits, monitoring enhancements, reporting, and control-process initiatives. The role requires applying risk taxonomies and control-design concepts, managing workstreams, resolving obstacles, and collaborating with stakeholders and external reviewers.

Defines and maintains security architecture for AI/ML systems across Azure, Databricks, and enterprise platforms. Leads AI threat modeling, model and agent security, prompt-injection mitigation, tool and integration security, MLSecOps, and security observability. Creates reusable architecture patterns, requirements, and implementation guidance while validating controls through testing. Advises technology, governance, privacy, compliance, and business teams on secure AI adoption and evolving risks.