• Ayudar a arquitectar soluciones inteligentes que combinan IA Generativa, automatización y datos para resolver desafíos comerciales reales en múltiples industrias • Trabajar junto a consultores, ingenieros y especialistas en IA experimentados • Obtener experiencia práctica diseñando prototipos, construyendo flujos de trabajo de IA, y explorando la próxima generación de sistemas inteligentes • Liderar un equipo de consultores junior de IA o pasantes en la ejecución de los proyectos priorizados en el backlog • Diseñar y desarrollar agentes de IA, asistentes, y flujos de trabajo inteligentes que aborden necesidades comerciales reales • Apoyar la automatización de procesos internos y del cliente utilizando tecnologías de IA generativa y plataformas de IA modernas • Colaborar con equipos de Datos, IA y negocios para traducir oportunidades en soluciones técnicas prácticas • Construir prototipos, pruebas de concepto (PoCs), y demostraciones que validen nuevos casos de uso de IA • Contribuir a documentar arquitecturas, aprendizajes, patrones de implementación, y mejores prácticas reutilizables • Analizar procesos de negocio e identificar oportunidades donde la IA puede mejorar la productividad y eficiencia operativa • Participar en iniciativas de innovación que evalúen nuevos modelos, herramientas, y capacidades de IA antes de que lleguen a producción • Desarrollar una mentalidad de consultoría combinando experimentación técnica con resultados comerciales medibles

Role Description Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. As a Forward Deployed AI Engineer at Provectus, you will: - Spend the first weeks of an engagement in the operator’s seat — as the underwriter, analyst, RCM specialist, or claims clinician. - Learn the constraints from the inside and rebuild the function from first principles. - Be part of the customer’s team and inside their process — not a vendor running a project alongside it. - Work on real tasks, not scoped deliverables, and own the method autonomously. - Start from industry blueprints that have already shipped for a customer in your industry. - Be measured on whether the Business Unit’s number moved — not on hours or scope delivered. Qualifications - 8+ years building software, with a substantial share of it writing production code. - Genuinely willing to spend weeks doing someone else’s job before writing code. - Demonstrated ability to become conversant in an unfamiliar business function quickly. - Shipped GenAI/LLM systems to production. - Built or owned an eval suite for a non-deterministic system. - Strong engineering fundamentals; proficient in Python and/or TypeScript. - Cloud-native delivery on AWS (GCP/Azure a plus). - Credible with senior stakeholders. - Comfort with ambiguity and ownership. - Solid AI/ML foundations. - Strong hands-on production experience with Claude Code/Cowork. - Fluent English, written and spoken. Requirements - Prior experience as a founder, CTO, or engineering leader. - Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management. - Consulting, professional services, or other embedded customer-facing delivery experience. - Data platform depth: data lakes, warehouses, streaming and real-time analytics. - MLOps and classical ML: PyTorch, SageMaker, MLflow. - Fine-tuning, distillation, or inference/serving optimization. - Graph databases (Neo4j, AWS Neptune). - IaC depth: AWS CDK, CloudFormation, Terraform. - Open-source contributions or public writing on applied AI. Benefits - Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. - The chance to shape how leading enterprises adopt AI, from strategy through first deployment. - A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers. - A growing AI delivery practice where you help build the tooling and frameworks. - Remote-friendly culture. Company Description Provectus is dedicated to reimagining how enterprises operate and compete, focusing on Financial Services & Insurance and Healthcare & Life Sciences.

• AI Implementation - Design, build, and maintain all of our AI systems across the company. Everything from internal marketing, sales, finance, and operations systems to local AI systems in our engineering workflows, and the Chamber itself. • AI Adoption - Educate, Train, Support, and Uplift everyone in the company with their AI adoption. Running office hours, making tutorials, providing resources, sourcing solutions, and more. • AI Infrastructure - Architect and operate a scalable set of infrastructure that allows non-technical, and technical teams to use AI in a secure and productive manner. • AI Systems & Agents - In conjunction with departments, design, build and maintain all AI systems and agents. This includes administering and managing our off the shelf AI systems like Claude, Viktor, Cursor, etc. It also includes our custom built Agents, Skills, Plugins, Tools, and more. • AI Security - You are responsible for creating, maintaining, and enforcing all data, privacy, and security policies across our AI systems and Agents. Organization, Department, and Role based permissions and settings across all our products. • Other Projects - As this is a technical role, you will also be asked to help build other internal systems like automations, micro apps, and more.

• AI Implementation - Design, build, and maintain all of our AI systems across the company. Everything from internal marketing, sales, finance, and operations systems to local AI systems in our engineering workflows, and the Chamber itself. • AI Adoption - Educate, Train, Support, and Uplift everyone in the company with their AI adoption. Running office hours, making tutorials, providing resources, sourcing solutions, and more. • AI Infrastructure - Architect and operate a scalable set of infrastructure that allows non-technical, and technical teams to use AI in a secure and productive manner. • AI Systems & Agents - In conjunction with departments, design, build and maintain all AI systems and agents. This includes administering and managing our off the shelf AI systems like Claude, Viktor, Cursor, etc. It also includes our custom built Agents, Skills, Plugins, Tools, and more. • AI Security - You are responsible for creating, maintaining, and enforcing all data, privacy, and security policies across our AI systems and Agents. Organization, Department, and Role based permissions and settings across all our products. • Other Projects - As this is a technical role, you will also be asked to help build other internal systems like automations, micro apps, and more.