Top Artificial Intelligence Jobs

Lead global enterprise B2B account strategies and complex sales cycles for Logitech solutions. Manage executive relationships, quotas, pipelines, Salesforce forecasting, RFPs, pricing negotiations, deployments, presentations, and demonstrations. Coordinate regional teams, sales engineers, system integrators, VARs, alliance partners, channels, and marketing to expand strategic accounts and close large-scale deals. The role is based in or near Houston, Texas, with travel exceeding 50%.

Lead product and account strategy across strategic client portfolios, building executive relationships, overseeing complex digital transformation engagements, and aligning discovery, roadmaps, delivery, and business outcomes. Identify account expansion and pre-sales opportunities, guide proposals and executive presentations, mentor product managers, and collaborate across Product, Design, Engineering, Project Management, Sales, and Operations. The role requires significant client-facing consulting experience and hands-on leadership in ambiguous, complex stakeholder environments.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Manage Global System Integrator partnerships across the Americas, driving revenue growth, pipeline development, customer acquisition, account expansion, and joint go-to-market strategies. Build executive relationships, create business plans and bundled offers, coordinate co-marketing, support deal negotiation and closure, train partner sales teams, and align internal stakeholders. The role also requires understanding AI and emerging technologies and using AI-powered tools and analytics to improve partner engagement, forecasting, and operational efficiency.

Lead the strategy, development, deployment, and scaling of AI-powered health products across governments and public health systems in the Global South. Own product roadmaps, execution, stakeholder adoption, partnerships, grant development, and portfolio expansion. Collaborate with engineering, data science, government, donor, and implementation teams to embed sustainable, measurable AI solutions across Africa and Southeast Asia.

Lead STRS Ohio’s third-party risk management program by developing policies and procedures, managing vendor due diligence and questionnaires, reviewing contracts, facilitating risk assessments, and monitoring regulatory, cybersecurity, AI, supply-chain, geopolitical, sanctions, and operational-resilience risks. The role coordinates with vendors, internal stakeholders, sourcing, vendor management, and legal/compliance teams to strengthen oversight and reduce technology and business risk.

Leads the firm-wide AI governance and risk program, developing policies, standards, controls, evaluation processes, and vendor due diligence. The role manages AI risks across the lifecycle, including privacy, cybersecurity, compliance, ethics, and third-party risk. It monitors global AI regulations, advises partners and senior leadership, coordinates with legal, security, information governance, and technology teams, and drives responsible AI training, awareness, and adoption across the firm.

Leads enterprise architecture strategy, standards, governance, target-state designs, and modernization roadmaps across applications, data, AI, cloud, security, platforms, and integration. Advises executives and technology teams on material decisions, resolves cross-domain architecture issues, incorporates risk and resilience requirements, and guides federated execution. The role also mentors architects, supports architecture operating-model maturity, and may assist with major production incidents.

Owns architecture for institutional client technology platforms supporting onboarding, servicing, reporting, and relationship analytics. Translates business requirements into scalable solutions, establishes integration, data, security, and governance standards, and ensures alignment with enterprise controls. Partners with architects, engineers, data teams, and senior stakeholders through delivery and platform evolution. The role also supports data strategy, regulatory obligations, audit readiness, and client confidentiality while mentoring engineers and business analysts across globally distributed teams.

This 12-week engineering internship supports P&G technical centers and manufacturing sites. Interns contribute to automation and controls, mechanical design, packaging, manufacturing process development, instrumentation, robotics, and environmental or civil engineering projects. Responsibilities include technical analysis, prototyping, process optimization, equipment and control-system development, validation, supplier collaboration, and sustainability initiatives. Interns receive mentorship, training, hands-on project ownership, and exposure to advanced manufacturing and Industry 4.0 technologies.

Own the architecture, roadmap, and production operation of Podium’s AI agent platform. Lead engineers building orchestration, tool use, memory, reasoning, evaluation, safety, and reliability systems for customer-facing agents. Drive capabilities from prototype to scale, optimize latency, cost, and quality, and partner with Product, Infrastructure, and customer teams. Establish engineering practices for testing and responsible deployment while representing AI Agents engineering in leadership decisions.

Supports enterprise AI transformation through machine learning, generative AI, data science, retrieval-augmented generation, and workflow automation. Responsibilities include data preparation, feature engineering, model development and evaluation, monitoring, dashboard and documentation creation, and secure AI application development. The intern collaborates with IT, AI transformation teams, data stewards, and business stakeholders to deliver practical AI and analytics solutions while following security, privacy, and responsible AI requirements.

Build and own AI team systems spanning data ingestion, labeling, training and evaluation infrastructure, model deployment, perception integration, and customer-facing applications and APIs. Drive high-impact technical projects, make hands-on architectural decisions, mentor engineers, and support a broad AI software stack. The role is approximately 70% backend and 30% frontend, with focus areas including ML Ops, data pipelines, or computer vision.

Leads enterprise SEO and AI visibility strategy across technical, content, local, GEO, and AEO programs. Develops AI-enabled content workflows, measurement frameworks, and visibility strategies for search engines, answer engines, social platforms, maps, and reviews. Partners with cross-functional teams, presents recommendations to clients, manages SEO practitioners, and mentors team members while driving innovation and new business opportunities.

Build and scale backend services and CI/CD for globalization workflows, integrate LLM/AI solutions (RAG, embeddings, semantic retrieval), work with SQL/NoSQL/graph databases, containerized deployments on cloud, and collaborate with product and localization teams to improve translation and localization quality.

Leads global AI hardware after-market supply chain operations, including logistics, spare parts, RMA, repairs, replacements, reverse logistics, inventory strategy, supplier performance, systems, analytics, and lifecycle disposition. Builds scalable operating models, establishes service-level standards and governance, manages distributed teams and providers, and partners cross-functionally to maximize hardware availability, minimize downtime, optimize costs, and support expanding data center infrastructure.

Manages operational relationships with AI hardware OEMs and strategic suppliers, translating forecasts and sourcing strategies into production commitments and reliable supply. Oversees procurement of GPUs, servers, networking, storage, and data center infrastructure; mitigates capacity, allocation, lead-time, and component risks; coordinates logistics and deployment schedules; and develops supplier performance metrics, governance, and regional procurement processes across EMEA and APAC.

Develops production-ready AI, data automation, integration, and workflow solutions for engineering processes in an aerospace and defense environment. Responsibilities include programming, API and database integration, engineering toolchain integration, CI/CD, testing, documentation, workflow analysis, roadmap development, training, and user support. The role collaborates with systems engineers and customer teams and may deploy tools in classified environments.

Designs and maintains automation across AWS GovCloud, Azure Government, and on-premises infrastructure. Automates patching, STIG hardening, configuration validation, compliance workflows, and drift remediation using Python and Terraform. Develops GitHub-based CI/CD pipelines, integrates enterprise platforms through APIs, and converts manual infrastructure and runbook processes into auditable, testable automation. Collaborates with engineering, cybersecurity, operations, and program stakeholders within an Agile/Scrum environment.

Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.

Own the strategy, development, launch, and performance of a new AI wedding product from zero to one. Responsibilities include defining the roadmap, market positioning, trustworthy AI behaviors, rapid prototyping, user testing, measurement, unit economics, and use of proprietary marketplace and behavioral data. The role also partners with executive, engineering, design, marketing, and data science leaders to shape company-wide AI direction.

Develops predictive models and data-driven solutions by analyzing complex datasets and applying advanced statistical and machine learning techniques. The role communicates insights to stakeholders, collaborates with cross-functional teams, and integrates analytics into business strategy. It requires extensive data analysis experience, an active TS/SCI clearance with polygraph, and U.S. citizenship. The position is onsite in Herndon, Virginia, with less than 10% travel.

Produces daily 60–90 second AI-generated micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include developing striking visuals, consistent characters, natural voices, audio, purposeful editing, and story-driven visual styles. The role requires prompt engineering, strong editing fundamentals, independent execution, fast delivery, and familiarity with vertical video. Experience in traditional video production, dramaturgy, end-to-end AI video creation, and short-form drama is advantageous.

Deploys and operationalizes agentic AI coding tools for financial-services clients. The role combines software engineering, client advisory, AI workflow development, CI/CD and cloud integration, security and governance compliance, pilot measurement, production rollout, and developer training. Engineers configure Devin or Claude Code, build custom agent workflows and integrations, validate generated code, and modernize legacy systems while working with technical and executive stakeholders.

Lead RTL development and microarchitecture for an AI-enabled RISC-V CPU core, including vector and matrix engines. Own functional features, performance, power, area, timing, and physical design considerations. Develop specifications, optimize RTL, support verification, and collaborate on CPU modeling, design verification, and SoC integration. The role requires deep expertise in high-performance CPU architecture, cache and memory subsystems, SystemVerilog or related HDL technologies, and advanced processor design.