Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. You will work in a small, senior pod alongside an FDX; Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. Design and ship production GenAI systems into the customer's environment (cloud-native data, LLM-based, and agentic AI solutions). Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Shape what we commit to before we commit to it. B2+ English, comfortable collaborating across distributed,



multicultural teams Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. ~ Python and/or TypeScript proficiency; Hands‐on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus ~ Cloud‐native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines ~ Model and agent monitoring, drift detection ~ Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs ~ Spec‐driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus ~ MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward‐deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers Remote‐friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays If you would like more information about how your data is processed, please contact us. #

📌 FDE AI/ Solutions Architect (Comunidad de Madrid)
🏢 Provectus
📍 Comunidad de Madrid