Forward Deployed AI Engineer

Viridien / CGG

Crawley

Viridien / CGG is recruiting for the role of Forward Deployed AI Engineer. This role adapts and ope rationalises 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.

• Location:
  
  Crawley
• Working pattern:
  Hybrid
• Job type:
  Full time

• 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.

• 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.

• 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.