Top Artificial Intelligence Jobs

The Staff Research Scientist will conduct AI research, focusing on embedding models and LLMs while collaborating with other scientists and engineers on practical deployments and innovations in information retrieval.

Lead and grow a national-security customer portfolio as primary liaison to senior government stakeholders. Shape strategic opportunities, drive capture and proposal efforts, coordinate internal teams, and align technical investments to mission priorities across cyber and intelligence domains.

Lead strategic digital workplace transformation programs focused on AI, automation, operational modernization, and employee experience. Manage program scope, timelines, budgets, risks, cross-functional teams, vendor relationships, executive reporting, change management, and adoption to deliver measurable business outcomes.

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Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead product strategy and execution for signals exploitation and tracking capabilities. Define roadmaps, shape backlogs with customers and product owners, support architecture and design reviews, and drive development and demonstration of advanced algorithms and software for DoD and Intelligence Community missions. Balance reuse, integrated system offerings, and component supply-chain opportunities while leading engineering teams through the Agile lifecycle and supporting technical marketing and business development.

Lead and grow Tempus partnerships with biopharma clients by identifying prospects, conducting executive outreach, developing global account strategies, supporting contract negotiations, aligning cross-functional teams, and delivering revenue and strategic objectives. Travel ~20% and provide client feedback to inform product portfolio.

Support traded-products counterparty credit risk analysis by monitoring exposures, sizing limits, and improving exposure methodologies and tooling. Partner with sales, trading, credit officers, quantitative research, technology, and operations to perform deep dives, report risks, form risk appetite views, and drive AI-enabled workflow improvements and firmwide initiatives.

Lead a software engineering team to design, build, and maintain secure, resilient Java-based applications. Develop and review production-quality code, drive adoption of AI-assisted engineering practices, automate remediation and SDLC tooling, evaluate vendor solutions, and coach engineers on secure and responsible AI use. Promote reuse, operational stability, and agile/CI-CD practices within financial services applications and cloud-native environments.

Develop and prepare multi-dimensional semiconductor layouts from schematics, lead major block developments, verify data integrity, debug physical verification issues, mentor juniors, improve automation and layout methodologies, and coordinate with global design, verification, and CAD teams.

Lead strategy and roadmap for Lowe's Media Network adtech systems and platforms. Translate business requirements into scalable technical specifications, oversee integrations (CRM, OMS, DSPs), drive automation/AI adoption, ensure data quality and reporting, liaise with Product/Engineering/Marketing, and manage a small cross-functional team to enable seamless campaign execution and growth.

Lead product development for digital assets and stablecoin solutions: identify trends, prototype proofs-of-concept, build business cases, coordinate cross-functional go-to-market plans, run pilots, mentor junior staff, and drive revenue-generating product launches.

Lead discovery, prototyping, and commercialization of digital asset and stablecoin products. Identify market opportunities, build business cases, run pilots, partner cross-functionally (Tech, Legal, Compliance, Finance, Marketing), and mentor junior team members to drive revenue and strategic differentiation.

Responsible for the full recruitment lifecycle in technology domains, managing 20-25 roles while promoting diversity and building pipelines of skilled candidates.

Lead payments control for FX operations, validating high-volume global fund transfers, resolving exceptions, liaising with banks and clients, and coaching teams. Drive process improvements, mitigate payment risk, and use data analysis and AI to optimize payment lifecycle and enhance customer experience.

Provide transactional legal support for commercial agreements across healthcare and life sciences, advising on AI, data privacy, IP, regulatory issues (HIPAA, Stark, Medicare/Medicaid), and general corporate matters while partnering with cross-functional teams to evaluate legal risk and enable business objectives.

The Counsel will ensure compliance with global privacy laws while supporting Mastercard's Security Solutions, focusing on privacy by design, legal guidelines, and data agreements.

Contribute to mechanical design and development for aerospace components. Perform CAD modeling and drawing, FEA simulation (static, fatigue, vibration), sizing, GD&T/tolerance studies, interpret customer requirements, and apply Python for root solving and systems analysis while supporting product development and cross-functional teams.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Serve as the Platforms & Services Segment IT leader advising executive leadership on IT strategy, digital transformation, cybersecurity, service delivery, portfolio and financial management, talent development, and demand prioritization to ensure aligned, secure, and outcome-driven IT and digital solutions.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Support process-based risk assessments across Enterprise Services, identify and mitigate process-level risks, advise stakeholders, research emerging regulatory and technology risks, draft deliverables, manage multiple projects and workstreams, and drive process and controls improvements to strengthen the company's risk posture.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.