SussexDigital
Forward Deployed AI Engineer
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Viridien / CGG
Crawley
Viridien / CGG is recruiting for the role of Forward Deployed AI Engineer. This role adapts and operationalises agentic AI systems in production across cloud, on-premises, hybrid and restricted environments. It focuses on building secure, scalable and reliable solutions, with work spanning architectures, integrations, deployment and operational support.
Role details
- Location: Crawley
- Working pattern: Hybrid
- Job type: Full time
What you’ll do
- Design and implement production architectures for agentic AI, LLM and vision-language applications.
- Adapt agent workflows, models, tools, retrieval systems and configurations for production use.
- Integrate AI systems with enterprise APIs, databases, applications and data platforms.
- Develop reusable connectors, APIs and Model Context Protocol tools.
- Build automated CI/CD, testing, configuration management and deployment workflows.
- Implement authentication, access control, secrets management, security and auditability.
- Establish monitoring, logging, tracing, alerting and evaluation for models, agents and tools.
- Optimise systems for reliability, latency, throughput, scalability and infrastructure cost.
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What they’re looking for
- A degree in computer science, software engineering, artificial intelligence, engineering or a related discipline, or equivalent practical experience.
- Strong Python programming and production software-engineering skills.
- Experience developing, integrating and operating enterprise software or AI applications.
- Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.
- Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.
- Understanding of authentication, networking, access control and enterprise security.
- Experience implementing monitoring, logging and operational support for production systems.
- Strong troubleshooting skills across application, AI, infrastructure, network and data layers.
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Additional role information
- The role also mentions Docker and cloud or on-premises deployments among the required experience.
- Desirable experience includes deploying agentic or generative AI applications in production.
- Desirable experience includes Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.
- The advert states an interest in applying AI to scientific, engineering, energy or geoscience workflows.
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