Top Artificial Intelligence Jobs in Seville

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Drive partner-led growth across South EMEA by recruiting and scaling strategic partners, leading co-sell and commercial deals, enabling partners to sell AI-enabled Zendesk solutions, and delivering partner-sourced revenue. The role manages pipeline health, forecasting, partner performance, onboarding, GTM motions, and cross-functional collaboration with Sales, Marketing, Product, and Customer Success.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Own post-deployment value, adoption, and expansion for strategic Private Cloud AI customers. Advise customers on enterprise AI, GenAI, agentic AI architectures, roadmaps, use cases, and platform scaling. Lead value reviews, workshops, and onsite engagements; identify expansion opportunities; build technical and commercial value cases; and collaborate with Sales, Product, Engineering, and Support. Develop reusable global playbooks, governance, metrics, and customer engagement processes.

Design and hands-on build an agentic identity platform covering verifiable agent identity, instance integrity, authorization, attestation, and continuous runtime trust. Set technical direction, make build-versus-buy decisions, integrate enterprise identity standards, mentor engineers, engage security communities, and use LLMs for rigorous research and delivery. The role requires deep identity, authorization, applied cryptography, distributed systems, and security infrastructure expertise.

Build and operate AI-powered tools and workflow automations for business teams across Support, Finance, Sales Ops, HR, IT, and Legal. Analyze workflows, prioritize high-impact opportunities, develop reliable integrations, measure outcomes, protect sensitive data, evaluate vendors, and establish AI governance, documentation, training, and deployment processes.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluations, telemetry, safe rollouts, and production quality. Build backend services and AI-driven products using TypeScript or Python, design experiments and observability for agent traces and retrieval, and partner with data scientists, engineers, product, and UX. Mentor engineers, review technical work, and shape the roadmap for agentic systems, APIs, memory, and knowledge representation.

Build and deploy production generative AI systems, including RAG pipelines, agentic workflows, document understanding, document generation, and conversational interfaces. Own AI architecture, implementation, evaluation, testing, observability, and deployment while collaborating with product, design, and engineering teams to deliver reliable user-facing functionality for legal technology products.

Leads a 10+ person AI-native R&D engineering team while remaining hands-on with coding, architecture, prototypes, distributed systems, and production readiness. Owns initiatives from ambiguous requirements through implementation, evaluation, validation, documentation, and handoff. Establishes responsible AI-assisted development practices, mentors engineers, maintains high standards for security, testing, reliability, and code quality, and partners with Product, Architecture, Security, and Engineering stakeholders.

Own the direction and execution of AI products across RemotePass’s payroll, compliance, payments, and operations platform. Identify high-value automation opportunities, determine appropriate human oversight, translate customer problems into product decisions, and balance speed, accuracy, and trust. Partner closely with engineering, executives, and operators to define strategy, write specifications, run experiments, ship features, and scale successful AI capabilities from early concepts into production.

Develop R automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and automation leads while ensuring compliance with clinical development standards, including testing, traceability, audit trails, version control, and regulated delivery expectations.

Build and operate production AI products, including sales acceleration systems, recommendation engines, and agentic operating systems. Own solutions end to end by gathering user needs, designing, coding, deploying, monitoring, and maintaining them. Evaluate agent decisions, detect performance drift, enable non-engineers to create automations, and contribute to shared AI infrastructure. Work across TypeScript, Rust, Ruby, Google Cloud, Kubernetes, and infrastructure as code while collaborating across advisory, sales, operations, and engineering.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Provides L2 monitoring, triage, investigation, and escalation for AI and cloud security detections. Analyzes telemetry using KQL or SQL, maintains dashboards, and produces operational, compliance, and risk reporting. Investigates AI threats including prompt injection, jailbreaks, data leakage, agent hijacking, and unauthorized tool activity. Monitors Azure, AWS, and GCP posture, supports vulnerability and compliance remediation, documents cases, and partners with SOC, cloud, incident response, and engineering teams.

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic systems. Designs secure end-to-end architectures, integrates Claude and other models with ServiceNow, APIs, databases, cloud platforms, and workflows, and leads discovery, proofs of concept, and client delivery. Develops ML and NLP solutions, data pipelines, dashboards, evaluation frameworks, observability, governance, and responsible AI controls. Collaborates with stakeholders, engineers, consultants, and clients to operationalize reliable AI applications.

Build and operate production AI platform services, including gateways, model routing, plugin and MCP review pipelines, observability, evaluations, cost attribution, agent identity, secrets, and security controls. Develop developer tooling and enablement resources, collaborate with Security teams, manage incidents, and participate in on-call support. The role requires strong software, platform, DevOps, or SRE experience with LLM APIs, cloud infrastructure, CI/CD, Kubernetes, Terraform, and observability systems.