Top Artificial Intelligence Jobs

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.

Leads analytics and AI strategy, delivery, governance, and platform ownership for internal auditing. Manages data scientists, develops Power BI and Snowflake solutions, oversees reporting and control monitoring, and drives automation and AI adoption. Partners with audit and business leaders to translate requirements into scalable insights, improve decision-making, and establish secure, reliable analytics practices. The role also manages stakeholder relationships, vendor partnerships, team development, and analytics transformation initiatives.

Drives business transformation and strategic change initiatives by developing transformation strategies, improving processes and organizational design, managing change adoption, engaging senior stakeholders, coordinating cross-functional projects, delivering training, and tracking benefits realization. The role manages transformation projects from planning through post-implementation review while ensuring alignment with business objectives, timely delivery, budget adherence, and successful organizational adoption.

Coordinates a small team of research scientists, balancing rapidly changing research priorities, strategic direction, external deadlines, deliverables, and stakeholder tradeoffs. The role requires high-stakes judgment, negotiation, communication, empathy, and execution under uncertainty. It partners closely with executive leadership to influence frontier AI research strategy and ensure ambitious work is delivered with quality and timeliness.

Provides hands-on technical leadership for enterprise Data Trust platforms. Designs and operates distributed systems supporting data contracts, metadata, lineage, quality, privacy, access controls, reliability, and semantic context for analytics and AI. Leads batch and streaming capabilities across Snowflake, AWS, and Kafka; establishes observability, SLOs, automated enforcement, and operational rigor. Drives cross-functional architecture and multi-quarter initiatives while mentoring engineers and building reusable platform standards.

Drives large, cross-organizational technical programs from strategy through delivery. Partners with engineering, product, security, design, customers, and executives to define roadmaps, manage risks, establish governance, and deliver measurable outcomes. Uses data, telemetry, AI, and automation to improve decision-making and program execution. Leads business cases, customer engagements, continuous improvement, responsible AI practices, and executive alignment while mentoring program managers and scaling repeatable practices.

Leads the agentic AI roadmap for Azure Supportability, aligning engineering, product, and support teams on goals, requirements, milestones, and stakeholder communications. Conducts customer and competitive research, measures AI adoption and impact, identifies technical challenges, and iterates solutions using data-driven insights. The role requires significant experience in technical program management, AI or ML solution development, and cloud platforms.

Lead a team of 4–8 AI engineers while remaining hands-on with architecture, code reviews, debugging, and technical decisions. Own delivery of production AI systems, including LLM applications, agentic workflows, document extraction, ETL pipelines, observability, evaluation, and monitoring. Partner with product, platform, data engineering, recruiting, and customers to build reliable, scalable AI features and grow engineering talent.

Leads Intuitive’s global indirect procurement function, setting its vision, operating model, talent strategy, and multi-year roadmap. Owns global category management, strategic sourcing, supplier relationships, negotiations, risk management, source-to-pay optimization, compliance, and procurement technology. Partners with executives and cross-functional leaders to deliver measurable value, improve stakeholder experience, increase spend under management, and manage global travel and event services.

Own the vision, strategy, and roadmap for role-based experiences and extensibility within ServiceNow’s AI/Super Intelligence Control Tower. Define persona-specific workflows, upgrade-safe customization, information architecture, accessibility, localization, and UI framework partnerships. Collaborate across product, design, engineering, and business units to deliver coherent enterprise experiences. The role requires extensive product management experience, enterprise SaaS expertise, platform extensibility knowledge, AI familiarity, and strong cross-functional influence.

Own and build an entire product category or department while working directly with the CEO. Responsibilities span strategy, operations, sourcing, growth, finance, forecasting, unit economics, and AI-enabled automation. The role requires turning ambiguous business problems into structured decisions and execution, building internal systems and workflows, coordinating suppliers, and improving fulfillment and customer experience. This onsite position is intended for an ambitious operator with at least three years of experience and strong analytical, commercial, and technical fluency.