Top Artificial Intelligence Jobs

Three-month remote ML mentorship program for recent graduates with Python skills. Participants build production-grade generative AI projects involving agents, data engineering, search and retrieval, LLM training, summarization, fine-tuning, multimodal systems, and real-time inference. The program includes mentorship, GPU infrastructure, a research assistant capstone, demo day, and introductions to AI employers.

General application to match applicants with Launch Institute of Technology training programs in AI, clean energy, and advanced technology. Collects background, interests, and location to determine program eligibility and availability (remote/hybrid varies by state).

The Enterprise Account Executive drives 100% new-business growth across enterprise B2B accounts. Responsibilities include prospecting, developing territory and account plans, understanding client needs, presenting Conga’s SaaS solutions, managing opportunities through the sales cycle, building partner relationships, and closing high-value deals. The role collaborates with sales engineering, marketing, customer success, professional services, and other teams to achieve revenue and quota targets.

Lead design, development, and deployment of LLM-powered solutions and autonomous procurement agents on the GEP AI platform. Advise stakeholders, run workshops, configure platform ontologies and data pipelines, optimize models for procurement tasks, and oversee cross-functional implementation to drive automation and improved procurement decision-making.

Leads FP&A advisory engagements for private equity portfolio companies in the government contracting sector. Responsibilities include developing indirect and wrap rate structures, financial models, budgets, forecasts, pricing analyses, KPI reporting, cash flow forecasts, covenant analysis, and DCAA-aligned reporting. The role also manages client relationships, supports business development, mentors team members, and helps implement compliant AI-enabled solutions.

Architects complex embedded hardware and software systems for edge AI and audio technologies. Evaluates feasibility, develops simulations and prototypes, deploys machine learning models on edge devices, and designs reusable architectures, algorithms, frameworks, and IP. Builds AI-enabled engineering workflows to accelerate architecture exploration and verification while balancing power, memory, compute, latency, performance, and security. Provides principal-level technical leadership across internal teams, suppliers, and external partners.

Create high-performance trailers and teasers from long-form interviews and episodes. Own the editing process from narrative development and assembly through sound design, music, B-roll preparation, experimentation, and final export. Use YouTube and TikTok performance data to optimize retention, pacing, and engagement, while integrating AI tools into editing workflows. Collaborate with creative, social, growth, commercial, and trailer teams, and support junior editors with systems and templates.

Manages HPE’s Private Cloud AI channel partnerships, serving as a trusted adviser and driving partner-sourced revenue, profitability, pipeline, and quota attainment. Develops joint business and account plans, promotes HPE products and services, coordinates sales resources, recruits partners, and builds strategic relationships with partner decision-makers. Requires strong knowledge of the IT industry, channel ecosystem, competitive positioning, HPE offerings, pipeline management, and partner sales strategies.

Manages HPE’s Private Cloud AI partner channel, driving revenue, profitability, pipeline, quota attainment, and partner growth. Builds strategic relationships, develops joint business and account plans, promotes HPE solutions, coordinates sales resources, converts leads into joint opportunities, and ensures partner compliance. Requires strong knowledge of the IT industry, channel ecosystem, competitive positioning, HPE offerings, pipeline management, and partner sales enablement.

Identify and engage prospective automotive dealership customers through outbound outreach, research target accounts, schedule qualified meetings, handle objections, and maintain accurate Salesforce records. Collaborate with Sales and Marketing to improve messaging and outreach strategies while meeting activity and appointment-setting goals. This remote West Coast role requires strong communication, organization, persistence, customer focus, and the ability to work independently. Automotive dealership sales experience is required.

Own AIUC’s strategic finance, board reporting, financial planning, and financial controls while building the operational infrastructure needed for rapid growth. Responsibilities include centralizing vendor spend, insourcing core operations, supporting recruiting and people operations, identifying efficiency improvements, and creating durable systems and processes. The role requires a highly analytical generalist who can structure ambiguous problems, execute quickly, and improve organizational effectiveness.

Own Oracle Fusion Cloud security architecture, environment administration, role governance, and platform integrity. Manage environment refreshes, cloning, quarterly updates, security roles, least-privilege controls, segregation of duties, and Risk Management Cloud controls. Provide advanced troubleshooting and root-cause analysis while designing AI, MCP, Terraform, and automation solutions to improve security operations and governance across Oracle Cloud.

Build, deploy, monitor, and support production AI tools, agents, workflows, backend services, and interfaces. Integrate AI systems with Salesforce and Microsoft 365 while applying secure authentication, permissions, and audit practices. Develop retrieval and extraction pipelines, prompt and tool designs, validation logic, and documentation. Collaborate with stakeholders to turn ambiguous needs into usable solutions, support internal users, conduct enablement sessions, and continuously improve AI tooling under senior engineering guidance.

Build and operate AI agent systems that learn from demonstrations, combine reasoning with deterministic workflows, recover from failures, and verify outcomes. Develop backend services with persistent state, concurrency, retries, secure customer access, evaluations, and diagnostics. Collaborate directly with customers to prototype and improve automation, influence product roadmaps, make technical decisions, mentor engineers, and support hiring. The role requires hands-on LLM system development, production ownership, and proficiency in Python, Go, Java, or JavaScript/TypeScript.

Lead design and build of a global AI/ML deployment platform: architect control plane, multi-region deployments, APIs, autoscaling, and integrations. Own technical direction, engage clients, drive governance of AI-assisted development, and ensure resilient, secure production-grade infrastructure.

Lead AI value measurement for Consumer & Community Banking by defining frameworks, aligning metrics and methodologies, ensuring data quality, and producing executive-ready reporting. Coordinate cross-functional stakeholders, translate analyses into clear recommendations, support business cases and performance measurement, and drive process improvements to increase transparency and accountability for AI investments.

Owns end-to-end recruiting for engineering and research roles, partnering with hiring managers and founders to define profiles, source passive candidates, manage technical screening, close offers, oversee agencies, and track funnel performance. The role focuses on building talent pipelines for AI evaluation, security, infrastructure, and forward-deployed engineering positions while helping strengthen AIUC’s employer brand.

Leads hands-on architecture, development, and production deployment of scalable AI, machine learning, and LLM solutions for asset and wealth management. Designs data-processing pipelines, model inference services, and cloud-based platforms; experiments with and productionizes ML models; and partners with technical, product, and business teams. The role also requires leadership in AI innovation, solution design, data management, scalability, security, and communication with senior stakeholders.

Build and own DeployCo’s global travel and expense program, including policies, supplier relationships, traveler support, booking workflows, corporate cards, expense operations, reporting, and controls. Support frequent client travel and disruptions, especially for EMEA-origin travel. Partner with Finance, Accounting, providers, and business leaders to improve service, manage costs, allocate expenses by client or project, and scale the program through data, automation, and AI.

Leads end-to-end strategy and operational roadmaps for complex HPC/AI products or portfolios. Defines value propositions, customer segments, business cases, market requirements, lifecycle strategies, and cross-functional alignment. Partners with engineering, supply chain, marketing, and other stakeholders to optimize product configuration, margins, pricing, market share, and go-to-market execution. Provides technical leadership, mentors teams, and drives innovation across ambiguous, high-impact initiatives.

Designs and leads testing solutions for AI systems, equipment, and devices. Develops test plans, schedules, requirements, tooling, fixtures, scripts, automation, and testing apparatuses. Coordinates internal and outsourced testing partners, analyzes results, resolves issues, and leads moderately complex projects. Provides technical guidance and mentoring while applying expertise in thermal, power, cooling, hardware, and electrical component testing. Requires occasional supplier travel of 5–10%.

Own the strategy, roadmap, and delivery of Achieve’s enterprise data and agentic AI platforms. Lead data migrations, semantic-layer development, governance, enterprise data products, agent orchestration, evaluation, monitoring, and AI-enabled workflows. Partner with engineering, security, risk, compliance, and business teams to establish scalable controls, manage infrastructure and model costs, and enable customer-facing AI experiences. Initially an individual contributor, the role is expected to grow into team leadership.

Designs and implements AI tools, agent services, developer infrastructure, and workflows using locally hosted models. Integrates AI with code repositories, documentation, build systems, and issue trackers; develops datasets, fine-tuning workflows, evaluation practices, and model governance. Optimizes inference performance and reliability, collaborates with infrastructure and security teams, documents best practices, and mentors software teams on responsible AI adoption.

Own end-to-end architecture for an enterprise GenAI platform and shared AI services. Design scalable, secure, resilient architectures covering model integration, orchestration, APIs, data flows, RAG, model serving, agentic workflows, and cloud infrastructure. Define architecture standards, integration contracts, and non-functional requirements; conduct design reviews and proof-of-concept evaluations; and ensure responsible AI, governance, compliance, observability, production readiness, and operational controls.

Develops strategic relationships with AI platform, semiconductor, compute, and infrastructure organizations. Builds account plans, maps executive and technical stakeholders, aligns Bloom power architectures with AI infrastructure roadmaps, supports reference designs and validated configurations, and creates joint go-to-market opportunities. Translates technical requirements involving compute, power, cooling, networking, and facilities into business value while generating qualified pipeline and informing product development priorities.