Top Artificial Intelligence Jobs in Seville

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

The Business Excellence Senior Manager enhances commercial performance, collaborates with leaders, and implements insights and tools across markets while managing enterprise-wide initiatives.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Lead enterprise-wide applied AI strategy, system-level architecture, and operating-model design. Direct mixed teams (engineers, contractors, vendors), set governance/standards, and stay hands-on for architecture and code review. Ensure AI investments deliver measurable business outcomes, reusable capabilities, and coherent, secure solutions at scale.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead on-site AI transformation for mid-market CEOs: own executive relationships, drive fixed-scope first wins on real data, translate problems into build-ready specs, manage rollout to finance-verified outcomes, and codify methods to scale deployments.

Own and prioritise the central AI platform roadmap (agent runtime, evaluation, pipelines, observability). Run experiments, ship v1s or enable product teams, and collaborate with Engineering, Data Science, and leadership to improve AI product speed, quality, and production robustness.

Design, build, and deploy AI tooling, onboarding systems, and internal applications using LLMs and agents; integrate third-party AI tools; ensure scalable deployment, observability, and cross-functional adoption to improve productivity.

Provide hands-on stabilization of multiple early-stage, often AI-generated codebases: assess, fix bugs, refactor, add missing core functionality (auth, payments), improve performance, implement lightweight testing, and collaborate across teams on fractional hourly engagements.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

Lead design and build a greenfield, AWS-based agentic software delivery platform. Integrate LLMs and agentic coding tools, implement tool orchestration and function calling, deliver end-to-end full‑stack features, evaluate trade-offs between off‑the‑shelf and custom solutions, and drive autonomous engineering capabilities.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

Lead QA automation for AI/LLM systems: define validation criteria for non-deterministic models, build automated and performance tests, validate RAG systems, perform API and integration testing, ensure release readiness and trace defects to data/models/requirements.

Lead a cross-functional squad to architect and ship AI-native workflows, integrations, and experimentation infrastructure that scale growth. Build data frameworks, attribution and analytics stacks, run rigorous A/B programs, package repeatable AI enablement toolkits, and collaborate with Engineering to deploy agentic product surfaces.

Lead a global consulting practice to design and deliver supply chain analytics and sustainability strategies for multinational clients; provide strategic leadership, operational excellence, client engagement, and drive business growth.

Design and build systems that integrate language models into a real-time, collaborative Rust-based editor. Work on context systems for evolving codebases, connect LMs to editor tooling, improve reliability/latency/cost of AI features, and design evaluation frameworks for AI-assisted development while collaborating closely with editor and infrastructure engineers.