Top Artificial Intelligence Jobs

Own product direction for AI-native capital-markets operations. Translate operator and issuer needs into technical requirements, build self-serve workflows, extend the platform into new transfer-agent processes, and add real-time visibility, controls, approvals, and audit trails. Deploy human-in-the-loop AI to reduce manual effort while maintaining correctness in regulated workflows. Collaborate with engineering and multiple market participants without direct people management.

Leads engineering for an AI-native security operations product suite. Responsibilities include guiding architecture, setting engineering and product strategy, developing talent, engaging customers, and applying emerging AI innovations. The role requires leading high-velocity teams, shaping product roadmaps, coding with AI agents, building cloud software across AWS, GCP, and Azure, and collaborating with globally distributed teams.

Build and own a space-based AI marketplace from MVP to scale, including the storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires end-to-end full-stack development, cloud-native infrastructure, testing, CI/CD, monitoring, secure multi-tenant authorization, and collaboration with engineering teams. The founding developer will ship weekly on a small team and use AI-assisted development workflows.

Build and own a space-based AI marketplace from MVP to scale, including its storefront, partner portal, admin tools, APIs, onboarding, entitlements, metering, integrations, deployment workflows, and third-party connectors. The role requires full-stack development, cloud-native infrastructure, multi-tenant authorization, testing, CI/CD, monitoring, and close collaboration with engineering teams.

Provide professional personal-finance expertise to help design and train autonomous AI agents. Experts must serve individual clients in areas such as personal tax, investments and retirement, comprehensive financial planning, estate planning, debt and life events, or equity compensation. Work includes producing real deliverables such as financial plans, Excel models, and completed tax filings. The schedule is flexible, but task volume is not guaranteed.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Leads operational support for production AI solutions, including monitoring, incident management, defect remediation, enhancements, deployments, governance, and performance evaluation. Coordinates internal teams and third-party AI engineers, maintains support processes and documentation, and monitors reliability, accuracy, drift, bias, fairness, cost, and business value. Partners with data, technology, governance, and business stakeholders to ensure AI solutions remain stable, compliant, effective, and aligned with evolving needs.

Lead technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.

Design and implement agentic AI systems and workflows; lead experiments and evaluations for prompts, agents, and model variants; finetune and optimize small-to-medium foundation models; deliver end-to-end ML solutions into production; mentor junior scientists and influence technical roadmap.

Lead design and governance of AI-enabled development platforms and agent frameworks for citizen and associate developers. Define reference architectures, reusable patterns, guardrails, and embedded controls for security, compliance, explainability, and resiliency. Partner with engineering, security, and platform teams to validate solutions, drive adoption, and enable reuse through templates, components, and training.

Lead strategic roadmap for yield smart manufacturing solutions, manage global projects, and apply AI technologies to optimize yield processes.

Lead ML Engineer for Finance Tech to design, build, deploy, and maintain AI/ML systems (including LLMs and RAG). Partner cross-functionally to create production data pipelines, model evaluation, governance, observability, and responsible AI practices while contributing technical vision and scaling AI infrastructure.

Leads the architecture, strategy, and implementation of applied and agentic AI capabilities for HPE private and hybrid cloud offerings. Designs production-grade AI architectures, multi-agent systems, LLMOps, AI security, governance, observability, and knowledge layers. Builds reusable AI components, optimizes large-scale AI systems, guides technology selection, and converts proofs of concept into reliable services. Influences customers and internal teams through technical workshops, reference architectures, publications, and presentations while mentoring engineers and architects.

Designs, trains, evaluates, and deploys ML and AI models; implements MLOps for production, monitors model performance, collaborates with data scientists and stakeholders, and optimizes scalability and reliability.

Lead enterprise customer engagement across Customer Experience, Service Operations, Voice of the Customer, and Hospitality. Develop strategy, metrics, and investment roadmaps to improve retention, lifetime value, service excellence, and digital transformation. Oversee budgets, workforce planning, talent development, and cross-functional alignment to drive sustainable, profitable growth.

Provide advanced accounting, fiscal, and administrative support for a grant-funded child welfare training program. Monitor and reconcile grant expenditures, process purchase orders and reimbursements, prepare financial reports and forecasts, maintain documentation for audits, and serve as office manager coordinating meetings and administrative tasks.

Lead the Agentic AI Lab’s full-cycle research agenda, including model and training design, data, evaluation, benchmarking, deployment, and publication. Train specialized enterprise models, define rigorous evaluation gates, move research from public benchmarks to customer shadow deployments, and build a small multidisciplinary team. The role partners closely with founders and platform engineers while establishing research direction, documenting technical decisions, and mentoring engineers into researchers.

The Senior Cybersecurity Researcher leads complex security research projects, developing techniques for vulnerability assessment and providing solutions against cyber threats to critical infrastructure.

Tenure-track Assistant Professor in Pharmacy Administration to teach professional and graduate courses (including basic statistics, quality measurement, and data management), initiate and participate in collaborative research in pharmacoepidemiology, pharmacoeconomics, outcomes research, and related areas, and engage with campus research centers and institutes.

Teach undergraduate industrial engineering courses, develop curriculum and instructional materials, assess student performance, advise students, supervise student employees, and contribute to programmatic and scholarly work in engineering education. Preference for candidates able to teach AI applications, engineering management, supply chain/logistics, and to design experiential, project-based learning.

Lead overall management and execution of the AFTAS Pro contract for SAF/AQ. Act as primary government interface, oversee multidisciplinary teams, ensure program performance (cost, schedule, quality), manage staffing and subcontractors, maintain compliance with FAR/DFARS and Air Force policies, develop program plans and briefings, run PMRs, manage risk, and support transitions and surge mission priorities.

Lead federal civilian business development for Data Analytics and AI programs. Build pipelines, engage customers, shape procurements, lead capture and proposal efforts for large single-award pursuits ($50M–$1B), develop partnerships, run capture strategy sessions, and win new prime contracts.

Sell Cognex vision and ID systems within an assigned territory: meet sales quotas, prospect for new customers, demo products onsite, provide technical solutions, update CRM, support events, and generate leads for complex applications.

The Data Engineer/ETL Engineer will support cloud-based and on-prem application development, focusing on data management and analytics for defense and intelligence.

Develop and validate AI-enabled workflows for automotive design, including AI agents, 3D and geometry automation, packaging intelligence, knowledge retrieval, and rapid prototypes. Interns will build two to three working prototypes, measure workflow impact, collaborate with designers and engineering partners, and present recommendations to Design leadership.