Lead IT R&D (Agentic AI Platform)

About BioClarity AI BioClarity AI is an AI-first biotech company pioneering early drug discovery in radioconjugate therapeutics. We don't operate wet labs or manage instrument pipelines. Instead, our R&D is 100% computational: generative bioinformatics, data-centric AI, modeling, and AI-assisted scientific reasoning. We are a GCP-native organization building the future of autonomous scientific discovery, and we need a world-class platform to power it. The Role We are looking for a Lead IT R&D Engineer to build and own our production-grade R&D technology foundation on Google Cloud Platform. This is not your traditional Research IT role. You will be building the GCP-backed infrastructure that enables our AI agents to reason, act, and execute multi-step scientific workflows autonomously, safely, and reproducibly. Your mission: Enable accelerated discovery by providing a secure, scalable, agentic R&D platform that turns our computational workflows into highly reliable, governed services and tools. What You Will Own: • Core Compute & Orchestration (GCP): Manage Google Kubernetes Engine (GKE) and Google Cloud Batch for microservices and massive computational workloads. Own our GPU provisioning and workload isolation strategy on GCP. • The Agentic Runtime Layer: Build standard, sandboxed execution environments for AI agents leveraging GCP's AI and compute primitives (e.g., Vertex AI). Manage multi-step workflow orchestration, state, retries, and Google Cloud Secret Manager integrations. • The Tool Registry & Google Suite Integration: Turn internal pipelines, retrieval models, and simulations into well-defined, callable tools. Securely integrate Google Workspace APIs and internal GCP services into agentic workflows with strict contracts, schemas, rate limits, and IAM audit trails. • Reproducibility & Observability: Ensure complete provenance (versioning code, data, models, and prompts) using Google Cloud Storage and Artifact Registry. Implement deep observability (Cloud Logging, Cloud Trace) for compute, services, and multi-step agent behaviors. • AI Quality Gates: Build evaluation harnesses, regression suites, and safety checks (e.g., prompt injection resilience) for agentic workflows before they hit production. What You WON'T Do: • You will not be training ML models, designing algorithms, or doing bioinformatics. • You will not be managing wet lab informatics (LIMS, ELN) or standard corporate helpdesk IT. Who You Are: • GCP Infrastructure Expert: You have deep operational experience with Google Cloud Platform, specifically GKE, VPC networking, Cloud Storage, and robust IAM/least-privilege design. • Agentic Google Tech Fluent: You understand Google's agentic concepts and AI ecosystem (e.g., Vertex AI Agents, Gemini API integrations, Function Calling) and know how to bridge them with enterprise APIs (Google Workspace). • Insatiably Curious: The intersection of Agentic AI, cloud infrastructure, and computational R&D is evolving daily. You have a relentless drive to explore bleeding-edge frameworks, the latest GCP releases, and new industry paradigms to ensure our platform never falls behind. • GPU & Compute Savvy: You know how to provision, manage, and optimize GPU workloads within cloud environments. • Security & Reliability Minded: You default to secure SDLC, robust sandboxing, and comprehensive observability for complex, multi-step workflows. • Developer Experience Advocate: You enjoy building developer platforms, APIs, registries, and templates that make it easy for scientists and ML engineers to deploy tools. If you want to build the Google Cloud infrastructure that helps AI discover life-saving therapeutics, we want to talk to you. Location: Remote Job Type: Contract