BGBx
Agentic Platform Architect / Systems Administrator

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Agentic Platform Architect / Systems Administrator
About BGBx
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.
Position Overview
The Agentic Platform Architect / Systems Administrator owns the technical environment that enables BGBx 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
- 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
- Faster agent deployment
Responsibilities
Technical & Infrastructure Management
- Design, implement, and maintain the infrastructure that supports:
- Internal AI platforms
- LLM services
- Agent orchestration
- Vector databases
- RAG pipelines
- Automation services
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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Architect the technical foundation for core AI operating model components, including:
- Orchestration Engine
- Claims Library
- Cortex/memory layer
- GPT portfolio
- Agentic workflow environments
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Administer cloud, hybrid, and enterprise environments supporting AI workloads, with clear standards for:
- Scalability
- Resiliency
- Disaster recovery
- Access
- Cost management
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Implement:
- Authentication, authorization
- RBAC (Role-Based Access Control)
- Secrets management
- Identity controls
- Environment separation
- Enterprise security requirements for AI-enabled systems
DevOps & CI/CD
- Establish CI/CD pipelines
- Infrastructure-as-code
- Deployment workflows
- Automated provisioning
- Release controls for:
- AI agents
- AI services
- Skills
- Integrations
Monitoring & Performance
- Monitor platform reliability, performance, telemetry, and token/usage consumption
- Track cost drivers, latency, error rates, and system health across AI environments
Integrations
- Support secure integrations between AI systems and enterprise platforms, including:
- Adobe
- Figma
- Microsoft
- Project management tools
- DAM/content systems
- Analytics environments
- Internal knowledge repositories
Governance & Compliance
- Operational governance controls for:
- Model access
- Prompt and output logging
- Audit trails
- Data retention
- Protected content
- Human review checkpoints
- Environment-level guardrails
Strategic Decision-Making
- Partner with engineering and product teams to evaluate:
- Build-versus-buy options
- Vendor architectures
- Integration patterns
- Long-term platform scalability
Troubleshooting & Issue Resolution
- Troubleshoot infrastructure, deployment, data-flow, access, performance, and operational issues affecting AI workflow delivery
Strategic Impact
The role enables:
- The AI operating model to scale beyond pilots by creating the secure technical backbone for agents, GPTs, orchestration, and memory
- Reusable intelligence, standardized workflows, and governed automation to become part of everyday operations
- Protection of quality, security, and cost-efficiency as AI usage increases across departments and client workstreams


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Qualifications
Experience & Expertise
-
5+ years of relevant experience in:
- Systems administration
- DevOps
- Cloud engineering
- Platform engineering
- Infrastructure engineering
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Experience supporting:
- AI/ML
- LLM
- Automation
- Workflow orchestration
- Enterprise software environments
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Strong knowledge of cloud platforms, including:
- AWS
- Azure
- GCP Focus: Identity, networking, storage, monitoring, security, and cost management
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Experience with:
- Docker
- Kubernetes
- CI/CD pipelines
- Infrastructure-as-code
- Scripting
- Observability tooling
- Automated deployment practices
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Working knowledge of:
- LLM operations
- Vector databases
- Embeddings
- RAG architectures
- API-based integrations
- Secure data exchange patterns
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Understanding of enterprise security, privacy, compliance, audit logging, and governance requirements for internal and client-adjacent AI systems
Technical & Soft Skills
- Ability to translate business and product requirements into practical technical architecture and operating standards
- Demonstrated experience using AI tools as an active part of your development or product workflow
Salary Range
£65,000 – £75,000 GBP
What We Offer
Cultured & Values-Driven Work Environment
At BGBx, we invest in our people because exceptional talent drives exceptional work. We provide a competitive rewards package designed to support your:
- Health
- Well-being
- Professional growth
- Life outside of work
Benefits Package
Typically includes:
- Health care insurance
- Retirement plans
- Generous paid time off and holidays
- Wellness benefits
- Life insurance
- Learning and development opportunities
- Other resources.
Additional benefits may be available based on your location.
Culture
A culture built on:
- Collaboration
- Innovation
- Inclusion
- The opportunity to make a meaningful impact on healthcare and the people it serves
External Commitment
BGBx is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status, or any category or class of person protected by law.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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