Lead the 0-to-1 product strategy, ecosystem integrations, and secure deployment architecture of F5’s next-generation AI security portfolio.
Compensation
The annual base pay for this position is: $248,600.00 - $373,000.00
Responsibilities
Lead technical product partnerships with major foundation model providers to co-develop secure-by-design API standards, secure context passing, and zero-trust data boundaries.
Drive alignment on emerging security frameworks, ensuring our runtime guardrails, prompt shields, and firewall systems are natively integrated or optimized for top-tier frontier models.
Define technical requirements and prototype for advanced AI features integrating with AI Gateway and Model Context Protocol (MCP) Gateway, securing the data-plane between agents, client applications, and external LLM tools.
Act as the primary technical point of contact for elite Design Partner enterprise customers during their early-stage, high-complexity rollouts.
Collaborate daily with Forward Deployed Engineers to architect, install, and troubleshoot complex production-grade AI applications.
Lead the design, development, and deployment of cutting-edge AI solutions and agentic AI frameworks for the banking sector.
Compensation
$176,720.00 - $265,080.00
Responsibilities
Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments
Design and implement rigorous metrics for AI system and performance
Proactively explore, prototype, and integrate the latest advancements in AI, particularly agent-based systems, autonomous AI, and generative technologies
Buscamos incorporar un/a Consultor/a IA Freelance para participar en proyectos innovadores relacionados con el diseño, desarrollo e implementación de sistemas avanzados basados en agentes de inteligencia artificial.
Responsibilities
Diseñar flujos de trabajo modulares y orientados a objetivos que permitan a los agentes autónomos planificar tareas, colaborar con otros agentes e interactuar con herramientas externas.
Diseñar y desarrollar sistemas de IA basados en agentes utilizando frameworks especializados o herramientas de orquestación personalizadas.
Implementar integraciones robustas con herramientas corporativas y APIs, garantizando fiabilidad operativa y escalabilidad.
Aplicar protocolos y estándares de contexto como MCP, A2A u otros equivalentes para la comunicación e interoperabilidad entre agentes.
Integrar modelos de lenguaje de gran tamaño (LLM) con entornos de ejecución y herramientas de automatización de navegadores.
Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.
Responsibilities
Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments
Engineer responsible for testing AI models and software in automotive applications, developing ground truth data, reference materials, and robust testing frameworks.
Compensation
Salary: $95,000 - $145,000, annual salary
Responsibilities
Generate ground truth data and annotated datasets
Develop reference materials and testing frameworks
Engage with internal customers to identify challenges
Collaborate with universities and external partners
Provide technical evaluation of technologies
Requirements
Bachelor's or higher degree in Engineering including Computer Science, Electrical, Aerospace, and Robotics
Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Consultor/a IA (freelance)Newknowmad mood · Remote, LATAM