Design and implement reusable MLOps/AIOps components for experiment tracking, model registry, workflow orchestration, deployment, monitoring, feedback and retraining
Define and maintain the enterprise AI platform architecture, technology roadmap and reference architecture for the Central AI Kitchen (CAK) or equivalent AI platforms.
Own the architecture, technical design and roadmap for assigned AI platform domain(s) or capability areas, ensuring alignment with the enterprise AI platform strategy.
We're hiring multiple Forward Deployed Engineers for a category leading AI company that deploys agents and automates extremely complex workflows inside large enterprise customers. This is a hands-on IC role. You'll be embedded directly with customers, working alongside a client-facing deployment partner, translating messy real-world operational problems into working AI systems, and staying accountable for the outcome long after the first deployment ships.
Design, develop and maintain AI-powered software tools that support engineers in their daily development workflows, from coding and code analysis to testing, documentation and technical problem solving
Perform daily AP duties, including invoice verification, authorisation, posting and payment processing, ensuring timely and accurate payments to staff and suppliers.
Build small working demos, proofs of concept and prototypes for client presentations, using n8n,Make or smiliar similar LLM APIs, RAG pipelines and web tools.
Build reusable data foundations for protein engineering. Define data structures, metadata standards, variant lineage, assay context, controls, replicate handling, uncertainty, and negative data capture across high- and mid-throughput screening workflows.
Lead and assist in coordinating technical activities throughout the sales opportunity lifecycle, including technical discovery, product presentations, demonstrations, and evaluations.