Senior Technical Architect - AI

Fixtra is a consulting and delivery company specialized in enterprise technology and SAP ecosystems. We empower banks and insurers to move faster, think bigger, and innovate smarter. With SAP BTP, cloud-native solutions, and cutting‑edge AI, we help financial institutions break free from legacy constraints and lead in a world that never stops changing. We bring together bold ideas, deep SAP expertise, and a startup energy that never settles.

Whether it's automating core banking, migrating complex systems to the cloud, or building intelligent, customer‑first applications—we're already doing it, across Europe, the Americas, and Asia. Fixtra is growing fast—and so are our ambitions. We’re not just building technology. We’re building the future of financial services—secure, scalable, intelligent. Fixtra. Designed for bold thinkers. Built for fearless finance.

We’re looking for a Senior Technical Architect – AI to drive the end‑to‑end architecture and technical leadership for Fixtra’s innovative AI‑driven Wizard platform. This is a mission‑critical, AI‑native position within our Products team, ideal for a hands‑on architect who excels at combining deep engineering expertise, modern product thinking, and a relentless pursuit of quality. As the technical authority, you will shape Fixtra’s direction in AI integrations (LLMs, Vector DBs, automation), design secure cloud‑native systems, and lead a collaborative team through rapid prototyping and enterprise‑grade deployments.

Your role blends system architecture, leadership, hands‑on coding, and strategic influence, ensuring Fixtra’s platforms set a new standard for intelligent, scalable, and user‑obsessed SaaS solutions.

• Architect, design, and implement scalable, multi‑tenant cloud‑native systems using microservices and robust APIs.
• Lead technical decision‑making for AI/ML integration, including LLMs (OpenAI, Anthropic Claude) and orchestration frameworks (Lang Chain, Llama Index, Haystack).
• Develop and review code in Type Script/JavaScript (Node.js, React/Next.js) and Python for both web and AI‑driven backend services.
• Select and configure storage and retrieval solutions, including relational (Postgre
  
  SQL) and vector databases (Pinecone, Qdrant, FAISS).
• Champion CI/CD practices—design, automate, and optimize pipelines using Git Hub Actions, Docker, and Kubernetes for highly reliable deployments.
• Guide infrastructure decisions for AWS, GCP, or Azure, ensuring environments are secure, resilient, and cost‑efficient.
• Embed automation and integration best practices through tools such as n8n, Apache Airflow, and workflow orchestration.
• Mentor, lead, and inspire engineers—drive code quality, establish standards, and foster an environment of continuous learning and experimentation.
• Own technical roadmaps, align architecture with product vision, and translate business needs into sound engineering solutions.
• Work closely with product owners and AI engineers to deliver rapid iterations, MVPs, and user‑centered features.
• Integrate AI‑driven development aids (Git Hub Copilot, ChatGPT, AI QA tools) to accelerate delivery and boost productivity.
• Promote an AI‑first, automation‑minded approach, ensuring product security, scalability, and maintainability.

• 10+ years’ experience in software architecture and engineering, with at least 3 years delivering advanced AI/ML‑enabled SaaS platforms.
• Expert proficiency in Type Script/JavaScript (Node.js, React/Next.js), Python, and modern API development.
• Deep mastery of cloud infrastructure (AWS, GCP, Azure), containerization (Docker, Kubernetes), and infrastructure‑as‑code tools (e.g., Terraform).
• Hands‑on experience integrating and deploying LLM‑based services (OpenAI, Anthropic APIs), AI frameworks (Lang Chain, Llama Index), and workflow automation (n8n, Airflow).
• Proven track record architecting, building, and scaling multi‑tenant SaaS applications, including database design (Postgre
  
  SQL, Redis, vector DBs).
• Advanced knowledge of CI/CD (Git Hub Actions, Jenkins) and automated testing frameworks for web and AI/ML systems.
• Established leadership skills—mentoring/leading teams, conducting code…