SC and NPPV3 Cleared AI Engineer
About the role
Senior AI Engineer (SC + NPPV3 Cleared)
Location: (Hybrid – flexible office/remote split)
Rate: Competitive Contract Day Rate (Dependent on experience)
Clearance: Active SC Clearance (Required), NPPV3 (Highly Desirable)
The Role
On behalf of our client, we are seeking a Senior AI Engineer to drive the industrialisation of enterprise-grade AI capabilities across their secure cloud environments. In this role, you will bridge the gap between advanced AI research and mission-critical production systems.
You will lead the design and deployment of resilient, stateful agentic workflows, scalable RAG architectures, and highly secure interoperability frameworks. This is a hands-on technical role focused on building sovereign, compliant, and autonomous AI solutions that scale.
What You'll Do
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Architect Agentic Systems: Design and deploy production-ready multi-agent ecosystems capable of advanced tool calling, state management, long-term memory, and autonomous execution.
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Build Orchestration Pipelines: Create and operationalise complex AI workflows using modern orchestration frameworks (e.g., LangChain, LangGraph).
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Secure System Interoperability: Implement cutting-edge integration patterns—including Model Context Protocol (MCP)—to connect LLMs seamlessly and securely with client data, tools, and legacy systems.
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Industrialise AI Delivery: Establish reusable architectural patterns, robust evaluation pipelines, and standardised deployment frameworks to move AI from prototype to enterprise scale.
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Integrate Enterprise Data: Develop high-performance APIs and integrate vector databases into live, automated business workflows.
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Enforce Governance & Guardrails: Embed strict AI safety measures, comprehensive logging, automated guardrails, and human-in-the-loop controls to guarantee responsible, compliant system behaviour.
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Drive LLMOps Excellence: Collaborate on cloud-native CI/CD pipelines and MLOps/LLMOps practices tailored for highly regulated environments.
What We're Looking For
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Proven Track Record: At least 7 years of deep technical experience designing, developing, and launching scalable AI applications built around LLMs and RAG.
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Active Vetting: Current SC Clearance is mandatory; active NPPV3 is a distinct advantage.
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Enterprise Integration Skills: Proven ability to merge advanced AI workflows with standard IT infrastructure, database systems, and secure networks.
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Production Mindset: Strong commitment to rigorous testing, continuous monitoring, and operational support models for live AI applications.
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