Top Remote Jobs in Seville

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.

Own the architecture and technical direction of the company’s AI platform, including model gateways, routing, agent orchestration, MCP, identity and governance, evaluation, observability, security, and FinOps. Build and operate production services, establish engineering standards and golden paths, partner with Security and Legal, mentor engineers, influence cross-functional decisions, and participate in on-call and incident response.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Own and expand a portfolio of strategic accounts across the Nordics and Benelux. Responsibilities include developing account plans, managing the full sales cycle, acquiring new customers, converting warm leads, maintaining CRM records, achieving sales targets, and serving as a trusted advisor to senior stakeholders. The role also supports process improvements and mentors junior account managers. It is remote with occasional international travel.

Manage and grow strategic accounts across the Nordics and Benelux, focusing on industries including robotics, machine building, and automotive electronics. Responsibilities include developing account plans, managing the full sales cycle, acquiring new accounts, converting warm leads, maintaining CRM records, and driving repeat revenue. The role is remote with occasional international travel and includes a base salary plus uncapped sales commission.

Build and operate production AI products using generative AI, LLMs, RAG, vector search, and agentic systems. Develop scalable machine learning services, pipelines, APIs, infrastructure, and automated evaluation systems. Improve AI quality, reliability, security, performance, and cost while establishing engineering standards. Collaborate with Product, Engineering, Data Science, Data Engineering, and Analytics teams to deliver dependable customer experiences.

Assess the existing data landscape, identify risks and dependencies, and define a scalable target-state data architecture supporting business expansion. Design data platforms, warehouses, governance, quality standards, models, and REST API integrations across cloud, on-premises, and hybrid environments. Collaborate with technical and business stakeholders and support implementation and testing activities throughout the three-month project.

Own product marketing across banking, fintech, government, and KYC/IDV verticals. Responsibilities include positioning and messaging, marketing roadmap and KPI ownership, go-to-market launches, sales enablement, technical content, thought leadership, and competitive intelligence. The role requires translating biometric and identity-verification technology into credible buyer-facing materials, partnering with Product, Sales, and executives, and independently directing agencies or freelancers as needed.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Lead enterprise Agentforce architecture and hands-on agentic AI engineering for European clients. Design agent workflows, configure Salesforce agents, integrate deterministic Apex and Flow logic, implement LLM orchestration, RAG, APIs, MuleSoft pipelines, security guardrails, and automated testing. Conduct technical discovery, advise enterprise stakeholders, and guide engineering teams through production deployments. This is a fractional, project-based advisory role requiring deep Salesforce architecture and advanced LLM engineering expertise.