Forward Deployed AI Engineer

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. 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. 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.