Senior AI Architect

View full description

Requirements:

• 5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
• Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
• Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
• Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
• Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
• Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
• Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
• Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
• Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
• Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
• Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

Responsibilities:

• Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
• Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
• Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
• Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
• Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
• Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
• Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
• Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
• Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
• Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
• Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
• Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions