Top Artificial Intelligence Jobs in Seville

Lead research and advisory on application security for enterprise applications (ERP/CRM). Produce thought leadership, client-facing insights, presentations, market analysis, and support sales. Mentor analysts, drive research agenda, improve processes, and advise CIOs on security strategy, vendor evaluation, metrics, and vulnerability testing across major vendors (SAP, Salesforce, Workday, Oracle).

Lead design, development, and maintenance of automated test frameworks using Selenium, C#/.NET and CI/CD. Build UI, API, regression, smoke, and end-to-end suites; leverage AI tools (Copilot, Playwright AI) to create and validate tests; integrate tests into pipelines; analyze results, produce reports, and drive QA transformation and mentoring across teams.

As a Lead Full Stack Engineer, you will drive the technical strategy and development of our SaaS insurance platform while mentoring engineers and overseeing AI integration.

Owns an AI-focused financial product vertical end to end, including strategy, roadmap, metrics, backlog, technical design, money-movement correctness, reliability, security, regulatory requirements, and AI evaluation. Partners with engineering, design, compliance, operations, treasury, and finance to ship safely across external partner and regulatory gates. The role requires strong technical product leadership, regulated-domain experience, system-design fluency, hands-on LLM product experience, and sound judgment around AI risks and human oversight.

Lead product direction and execution for major areas of KIRA’s AI stockbroking app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guide product managers, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations. The role also involves mentoring product leaders and simplifying complex financial products into usable customer journeys.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Translate regulatory and business constraints into product decisions, ensure launch quality, drive post-launch learning, and promote fast, user-focused, data-informed product development.

Lead product direction and execution for major areas of an AI-powered neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide PMs, product owners, designers, and engineers while balancing UX, data, engineering, regulatory, operational, and business considerations.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Build and deploy production-grade LLM capabilities for the Kayzen Console. Responsibilities include developing AI-backed APIs and full-stack features, implementing RAG, embeddings, agents, and tool calling, and establishing evaluation, monitoring, observability, and feedback systems. The role optimizes quality, latency, reliability, and cost; troubleshoots production issues; collaborates with Product, ML, and Engineering; and turns prototypes into maintainable AI products.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define customer problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; use research, feedback, metrics, and production issues to improve decisions; launch features, monitor performance, and drive iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Build and maintain production-grade agentic AI systems for an internal AI platform. Design AWS infrastructure, knowledge graph solutions using Neptune or Neo4j, and LLM-based reasoning and retrieval workflows. Troubleshoot integrated systems, collaborate across teams, influence technical direction, and support engineering best practices. The contract is expected to last 4–6 months, with possible extension, and requires strong Python, AWS platform engineering, and agentic AI expertise.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own AI Investing product areas from user problem discovery through roadmap, launch, measurement, and iteration. Define product scope, success metrics, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial journeys, use research and metrics to guide decisions, and balance speed, customer experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Stockbroking and broader financial services products. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, research, feedback, and production issues to drive iterations and improvements.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production issues to guide decisions, launch features, monitor performance, and drive ongoing improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to deliver simple customer journeys. Use data, feedback, research, experiments, and production issues to guide decisions, monitor performance, and continuously improve products while balancing speed, experience, business impact, compliance, and operational complexity.

Own product areas across financial services including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch and monitor features; and iterate using data, research, feedback, and production insights. The role requires strong product judgment, prioritization, writing, stakeholder management, and independent execution.

Own product areas for AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use metrics, research, feedback, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial journeys; and use data, feedback, experiments, and production insights to improve products after release.

Own product areas within BJAK’s AI Investing and broader financial services portfolio. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and metrics to guide decisions, launch features, monitor performance, and iterate. The role requires strong ownership, prioritization, communication, product judgment, and the ability to execute with limited guidance.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, compliance, operations, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial journeys, launch features, monitor performance, and iterate using data, feedback, research, and production insights.