Top Artificial Intelligence Jobs

Build and debug LLM agents, integrations, and AI workflows using Python and APIs. Provide technical office hours, mentoring, code reviews, and debugging support to colleagues. Develop reusable agent frameworks, starter kits, evaluations, documentation, and learning resources. Partner with internal teams on AI platform adoption, identify skill gaps, track learning outcomes, and escalate complex data, security, or production issues.

Build and debug LLM agents, integrations, and AI workflows using Python and APIs. Provide technical office hours, mentoring, code reviews, and debugging support; develop reusable agent frameworks, starter kits, evaluations, documentation, and learning resources. Partner with internal teams to identify skill gaps, deliver hands-on training, troubleshoot AI issues, and escalate complex data, security, and production problems while promoting safe, maintainable AI adoption.

Build and debug LLM agents, integrations, and AI workflows using Python, APIs, and LLM SDKs. Provide technical office hours, mentor colleagues, troubleshoot prompts and tool calls, develop reusable starter kits and documentation, and lead hands-on AI training. Partner with internal teams on escalations, data safeguards, evaluations, and platform improvements while helping employees independently adopt and maintain AI solutions.

Lead development of agentic AI systems that autonomously plan, execute, analyze, and optimize laboratory experiments. Build integrations with robotic platforms and analytical instruments, implement closed-loop learning, deploy reliable containerized services, and ensure experiment data supports downstream model training. Own the platform roadmap, reliability, adoption, and technical direction while managing and mentoring a team of scientist-engineers. Collaborate with chemists, biologists, automation engineers, NVIDIA, vendors, and senior R&D leadership.

Own product positioning, messaging, go-to-market strategy, launches, adoption, campaigns, sales enablement, clinical evidence translation, compliance coordination, forecasting, and cross-functional alignment for Heartflow’s AI-driven cardiac care solutions. The role partners with Product, Clinical, Sales, Medical Affairs, and Marketing Communications to drive physician and health-system adoption.

Leads customer engagement, technical business development, and strategic partnerships with a major cloud service provider. Advises AI model builders on NVIDIA’s accelerated computing platform, integrates GPU architectures, networking, CUDA-X, NeMo, and inference technologies into training and inference pipelines, and connects customer needs with product roadmaps. Drives platform adoption, alliance development, executive relationships, and revenue growth while leading cross-functional technical and commercial initiatives.

Lead strategic client relationships, translate customer data into actionable growth recommendations, communicate insights to stakeholders, identify client needs, and sell appropriate solutions. The role partners closely with solutions and media teams to deliver impactful projects, build trust with clients, and support business growth through consultative engagement.

Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.

Designs, builds, deploys, and maintains scalable data platforms and ETL/ELT pipelines. Processes structured, unstructured, batch, streaming, and event-based data while optimizing data lake architecture and cloud performance. Collaborates with analysts, engineers, developers, and data consumers on mission-driven projects. Responsibilities include data modeling, governance, cataloging, lifecycle management, automation, platform tuning, and developing data solutions for applications such as fraud detection, cancer research, and national intelligence.

Build and ship reliable AI agent systems from prototype to production. Responsibilities include developing Python backend services and APIs, integrating large language models and tools, managing prompts and context, implementing evaluations, guardrails, monitoring, audit trails, and error handling, and establishing foundational systems for a growing AI team. The role requires independent ownership of AI projects and collaboration across backend, cloud infrastructure, and user-facing interfaces.

Leads enterprise performance marketing strategy across multiple consumer brands and digital channels. Owns profitable customer acquisition, retention, revenue growth, marketing efficiency, budget allocation, measurement, forecasting, attribution, experimentation, and executive reporting. Partners cross-functionally with e-commerce, CRM, brand, product, creative, merchandising, finance, and analytics teams while managing agencies, vendors, and channel leaders. Builds integrated full-funnel programs and develops high-performing marketing teams.

Leads AF Group’s AI and emerging technology strategy, translating business priorities into prioritized use cases, business cases, roadmaps, and measurable outcomes. Directs cross-functional delivery from experimentation through production adoption, coordinating security, platform, application, data, and Center of Excellence partners. Evaluates generative AI, machine learning, and automation technologies; manages budgets, resources, change management, operational readiness, adoption, and value realization. Supervises employees and develops organizational AI capabilities.

Design, develop, optimize, and maintain scalable C++ game software and systems across PC, console, and mobile platforms. Integrate graphics, audio, physics, AI, and advanced peripherals such as VR/AR headsets and motion controllers. Collaborate with designers and developers, troubleshoot system issues, participate in code reviews, and contribute throughout the game development lifecycle from prototyping through release.

Leads Elastic’s Mid-Market General Business sales organization, managing account executives and driving new and existing customer growth. Responsibilities include exceeding bookings and quotas, developing scalable sales strategies, creating compensation and segmentation plans, implementing sales processes, fostering team performance, collaborating with partners and the Open Source community, and supporting deal creation and closure through regular travel.

Own product positioning, messaging, launches, growth experiments, activation, onboarding, and conversion initiatives. Partner with Product, Engineering, Sales, and Growth to align narratives, enable launches, and improve adoption. Conduct customer and market research, track competitors, create marketing assets, and test distribution channels. The role requires strong writing, product intuition, strategic thinking, and hands-on execution in a high-growth B2B SaaS or AI environment.

Conducts financial, operational, compliance, and information security audits across bank departments. Plans and leads risk-based audits, evaluates internal controls, analyzes findings, prepares workpapers and reports, recommends process improvements, tracks remediation, and communicates results to management and audit leadership. Builds relationships with business units, manages multiple priorities, and uses data analytics and artificial intelligence to improve audit effectiveness.

Lead growth initiatives for fast-growing vertical AI companies, focusing on acquiring and expanding B2B customers among mid-market and enterprise buyers. The role is part of a portfolio hiring process, with placement based on fit across multiple companies.

Serves as the technical authority for evaluating and integrating emerging technologies, including AI, machine learning, cloud, and advanced analytics. Develops technology roadmaps, governance frameworks, adoption strategies, and executive recommendations while ensuring enterprise architecture alignment, zero-trust security, secure integration, and cross-enclave interoperability. Collaborates with government, industry, academic, and research organizations to improve mission effectiveness and operational readiness in national security and other highly regulated environments.

Lead technical architecture for Google Cloud CX and Gemini-powered contact center solutions. Design conversational AI agents, Agent Assist, Conversational Insights, CCaaS implementations, CRM and telephony integrations, and network architectures. Serve as a technical advisor to customers and Google partners, lead discovery workshops and sales pursuits, oversee implementation scalability and security, and align solutions with enterprise goals.

Lead architecture and technical strategy for enterprise AI solutions using Gemini Enterprise and Vertex AI. Drive consultative sales support, design agentic and multi-agent RAG systems, oversee prompt engineering and model tuning, define MLOps and data governance on GCP, and ensure technical quality control during delivery.

Leads HR process re-engineering and operational improvement initiatives by analyzing current-state workflows, identifying root causes, designing simplified future-state processes, and strengthening controls. Facilitates stakeholder workshops, applies Lean methodologies, documents process requirements, measures benefits, and evaluates AI or automation opportunities. Partners with Technology, AI, Risk, Controls, process owners, and project managers through implementation and benefit realization.

Supports and optimizes enterprise AI and data platforms for reliable, scalable, and secure operations. Designs and maintains data pipelines, platform automation, AI workflows, and production processes for machine learning and generative AI solutions. Monitors platform health, data quality, deployments, and performance while collaborating with data scientists, AI engineers, developers, and business stakeholders to operationalize AI capabilities and drive continuous improvement.

Build foundational AI-enabled applications, prototypes, prompts, tests, documentation, and agentic workflow automations. Translate requirements into software components, scripts, integrations, and configurations while learning software development, security, privacy, and responsible AI practices. Support prompt engineering, retrieval-assisted use cases, API integrations, testing, troubleshooting, documentation, code reviews, and team collaboration. The role is designed for early-career candidates with coursework, projects, internships, research, open-source work, or portfolios demonstrating programming, AI, automation, data, or problem-solving skills.

Build foundational AI-enabled applications, prototypes, prompts, tests, documentation, and agentic workflow automations. Translate requirements into software components, scripts, integrations, and configurations; support prompt engineering, retrieval-assisted use cases, and API integrations. Perform testing and troubleshooting, participate in code reviews and demos, and follow security, privacy, compliance, and responsible AI practices while developing software engineering skills under senior-team guidance.

Designs and owns production-grade AI infrastructure across Azure, Oracle Cloud, GCP, and AWS. Responsibilities include Kubernetes and Terraform deployments, portable multi-cloud infrastructure, CI/CD and GitOps systems, observability, security, reliability, and automation frameworks. The role builds self-service tooling, automates provisioning and operational runbooks, integrates compliance checks, and partners with product and platform engineering teams. It requires deep cloud infrastructure, networking, production operations, and DevOps expertise.