Top Artificial Intelligence Jobs

Own end-to-end go-to-market strategy and execution for B2B and B2C clients, including customer research, positioning, messaging, content, paid and email campaigns, measurement, reporting, sales alignment, and campaign concepting. The role requires hands-on delivery, executive presentations, independent work across concurrent projects, and effective use of AI for research, testing, and content production.

Research and develop AI/ML methods for curating, labeling, typing, and fusing OPIR data. Build out-of-distribution detection pipelines, automated and human-in-the-loop labeling workflows, and data quality and provenance processes. Develop maintainable software, integrate components, test and debug systems, support HEARTH users, and collaborate with government and contractor teams.

Leads ARM Institute’s defense-sector growth strategy, business development, capture, proposal, and strategic contract pursuits. Builds relationships with government, military, defense-industry, consortium, and academic stakeholders; identifies and shapes opportunities; manages pipelines, partnerships, funding diversification, and bid/no-bid decisions. Oversees capture and business development teams, coordinates cross-functional proposal efforts, and ensures successful transition from contract award to delivery while advancing manufacturing modernization, robotics, AI adoption, workforce readiness, and national security objectives.

Leads ARM’s commercial growth strategy for robotics and AI adoption among U.S. manufacturers. Responsibilities include identifying priority markets, developing scalable offers, building sales pipelines, cultivating executive customer and partner relationships, leading complex proposals and negotiations, and commercializing Automation Assessments and follow-on services. The role also coordinates technical, workforce, marketing, consortium, and delivery resources while establishing repeatable revenue models and measuring growth, customer, and strategic outcomes.

The Information Security Tools Engineer implements, maintains, supports, tests, and deploys security systems in cloud and SaaS environments. The role coordinates with risk managers, application experts, technology and business teams, and vendors; troubleshoots production security systems; contributes to system design, process maturity, and documentation; and supports enterprise security programs.

Implements, maintains, supports, tests, and deploys information security systems and tools in cloud and SaaS environments. Coordinates with risk managers, application experts, security and technology teams, business stakeholders, and vendors. Provides troubleshooting expertise, supports production security systems, contributes to system design, and improves team processes and documentation. The role requires Azure security integrations, operational technology management, enterprise project delivery, risk management, VMware knowledge, and artificial intelligence control systems experience.

Leads technical integration efforts for the NCCT intelligence program, coordinating contractors, vendors, government stakeholders, and technology providers. Develops capability roadmaps, evaluates technical proposals, supports contract documentation, and advises on project budgets, schedules, and goals. Applies data engineering, event-streaming, API integration, containerization, orchestration, and modern software architecture expertise to solve complex system integration challenges. Requires operational intelligence experience, DoD standards knowledge, technical team leadership, and active or immediately obtainable TS/SCI clearance.

Researches funding opportunities and writes, reviews, and manages grant applications for nonprofit partners. The role requires translating complex program information into persuasive funder narratives, using AI tools thoughtfully, maintaining accuracy and deadlines, managing relationships with 25–30 partners, and improving scalable grant-support processes.

Data Scientist Intern supporting Syngenta’s Vegetables R&D team by processing large structured and unstructured datasets, developing and validating machine learning models for product placement predictions, integrating varied data types, and documenting findings and recommendations. The role involves collaborating with data scientists on research initiatives and applying AI/ML methods to genetic, phenotypic trial, and environmental agriculture data.

Own product marketing for the Platform and Data portfolio, including positioning, messaging, launches, enablement, migration tooling, website content, partner marketing, and competitive intelligence. Translate technical infrastructure and AI capabilities into compelling narratives for sales, prospects, analysts, and the US market. Partner with Product, Sales, and technology partners while shaping launch processes and using AI-assisted workflows.

Leads data governance and privacy compliance within banking, advising on PDPA, FSA, IFSA, BNM MCIPD, and RMiT requirements. Conducts privacy gap assessments, DPIAs, transfer impact assessments, AI/ML risk evaluations, and data breach impact assessments. Develops policies, notices, SOPs, regulatory notifications, and training programs while engaging business units, executives, regulators, and auditors.

Generate pipeline through cold calls, email, and LinkedIn; research target accounts; engage and qualify prospects; book meetings with decision-makers; conduct discovery conversations; handle objections; nurture accounts; maintain accurate CRM records; and collaborate with business development and marketing teams. The role emphasizes resilience, organization, commercial curiosity, strong communication, coachability, and a desire to build a sales career.

Leads AI safety technical strategies and customer projects focused on safely integrating AI into software development and software systems. Responsibilities include project planning, resource coordination, risk and milestone management, quality assurance, customer liaison activities, technical requirements translation, executive reporting, strategic planning, and representing the AI safety portfolio. The role requires collaboration with researchers, engineers, customers, and support teams, plus the ability to obtain and maintain a Department of War security clearance.

Leads AI engineering initiatives for tax technology, designing and deploying machine learning solutions using Python, deep learning, and NLP. Builds data pipelines, validates models, guides experimentation, and translates tax business needs into scalable production systems. Oversees complex workstreams, directs cross-functional teams, presents technical recommendations, coaches team members, and ensures solutions meet technical, client-service, policy, and responsible AI standards.

Own Slingshot AI’s public communications as its first in-house Comms Lead and editor-in-chief. Identify compelling stories from research, clinical trials, safety work, and user experiences; translate technical information into accessible content; and publish consistently across blogs, LinkedIn, press releases, videos, and media channels. Manage reporter relationships, shape core messages, support executives and experts with communications, and oversee external freelancers or agencies when needed.

Conduct vulnerability research across Microsoft products, cloud services, and open-source ecosystems. Develop scalable automation and AI-driven systems for vulnerability discovery, exploit validation, triage, and remediation. Perform offensive security assessments, analyze emerging attack techniques, collaborate with engineering and security teams, and publish technical findings or influence open-source projects.

Own customer-facing technical and business relationships for AI Business Process solutions. Advise customers on Dynamics 365, Power Platform, and Copilot Studio architecture, implementation, governance, performance, cost efficiency, and operational health. Lead architecture sessions, proof-of-concept development, legacy modernization, technical issue resolution, and partner collaboration to accelerate adoption and customer outcomes.

Leads consultative AI business process sales engagements with senior customer executives. Identifies high-value AI scenarios, delivers solution demonstrations, drives platform adoption, resolves technical blockers, develops pipeline, and manages complex sales processes through close. Coaches sales teams on deal strategy, coordinates cross-functional resources, communicates Microsoft's competitive value, and builds repeatable solution-selling practices and assets.

Supports Alice & Bob’s US go-to-market strategy by developing partnerships across high-performance computing, AI, and cybersecurity. Responsibilities include researching and qualifying partners, preparing value propositions, supporting key meetings, maintaining the sales playbook, and building AI-based workflows for account research and follow-up. The role requires strong business acumen, communication skills, organization, autonomy, and an interest in quantum computing. This is a six-month internship beginning in February 2027.

Defines the technology vision and enterprise architecture strategy for Citi’s Trade Finance platforms. The role designs high-volume processing solutions, guides cloud, PaaS, and AI-native modernization, evaluates vendors, influences product roadmaps, and partners with senior stakeholders. It also strengthens cybersecurity controls for digital assets, manages architecture-related risk, and drives future-state technology strategies across business, product, operations, and technology teams.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Develop and enhance vehicle energy and performance simulation tools supporting propulsion systems, including electric and internal combustion engines. Improve model fidelity, correlation, usability, data analysis, and tool capabilities. Train users, provide technical support, analyze test data, and collaborate across thermal analysis, vehicle dynamics, controls, and electrification teams. Focus areas include co-simulation, machine learning, user experience, variation analysis, modular systems, and fidelity levels.

Lead a globally distributed team building Zscaler’s enterprise data and AI platform. Own Snowflake, dbt, Matillion, data pipelines, knowledge graphs, vector stores, RAG systems, agentic operations, and production AI infrastructure. Translate platform strategy into roadmaps, operate the platform as an internal product, establish quality and observability standards, and provide hands-on technical and people leadership across architecture, engineering execution, hiring, mentoring, and delivery.

Owns the architecture of Caterpillar’s reinforcement learning systems for physical AI and autonomous construction equipment. Designs simulation-based training, imitation learning, foundation-model post-training, sim-to-real transfer, policy evaluation, safety, and deployment methodologies. Establishes standards for reproducibility, experimentation, benchmarks, and field performance while guiding cross-functional teams and translating research into reliable, production-ready learning systems.