About Us At BGBx , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle.

The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. Agentic Platform Architect / Systems Administrator Position Overview The Agentic Platform Architect / Systems Administrator owns the technical environment that enables BGB to move from isolated AI experimentation to a secure, governed, and scalable AI operating model.

This role designs, implements, secures, and maintains the infrastructure for LLM orchestration, agentic workflows, Cortex-style memory, Claims Library services, knowledge repositories, data pipelines, and automation platforms. The role bridges enterprise systems administration, cloud infrastructure, AI operations, security, and platform engineering so internal AI capabilities can be deployed reliably across the agency. The Agentic Platform Architect / Systems Administrator builds and operates the secure technical foundation for agents, orchestration, memory, and enterprise AI services.

Primary Mission Translate the AI vision into a resilient, governed platform architecture that can scale across workstreams and teams. Key Partners AI Product Manager, AI Software Engineer, IT/Security, Data/Analytics, Operations, Fourier/implementation partners, functional champions. Success Measures Platform uptime, secure access, workflow reliability, integration readiness, auditability, cost visibility, and faster agent deployment.

Responsibilities

Design, implement, and maintain the infrastructure that supports internal AI platforms, LLM services, agent orchestration, vector databases, RAG pipelines, and automation services. Architect the technical foundation for core AI operating model components, including the Orchestration Engine, Claims Library, Cortex/memory layer, GPT portfolio, and agentic workflow environments. Administer cloud, hybrid, and enterprise environments that support AI workloads, with clear standards for scalability, resiliency, disaster recovery, access, and cost management.

Requirements

for AI-enabled systems. Establish CI/CD pipelines, infrastructure-as-code, deployment workflows, automated provisioning, and release controls for AI agents, services, skills, and integrations. Monitor platform reliability, performance, telemetry, token/usage consumption, cost drivers, latency, error rates, and system health across AI environments.

Support secure integrations between AI systems and enterprise platforms such as Adobe, Figma, Microsoft, project management tools, DAM/content systems, analytics environments, and internal knowledge repositories. Operationalize governance controls for model access, prompt and output logging, audit trails, data retention, protected content, human review checkpoints, and environment-level guardrails. Partner with engineering and product to evaluate build-versus-buy options, vendor architectures, integration patterns, and long-term platform scalability.

Troubleshoot infrastructure, deployment, data-flow, access, performance, and operational issues that affect AI workflow delivery.