Forward Deployed AI Engineer

Posted 18 Days Ago
Be an Early Applicant
Crawley, West Sussex, England, GBR
In-Office
Entry level
Information Technology • Software
The Role
Deploy and operate secure, scalable agentic AI, LLM, and vision-language applications across cloud, on-premises, hybrid, and restricted environments. Responsibilities include integrating AI systems with enterprise APIs and data platforms, building connectors and deployment workflows, implementing security and observability, optimizing reliability and performance, and troubleshooting production systems across application, infrastructure, network, and data layers.
Summary Generated by Built In

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.


Do you enjoy solving the practical challenges of deploying AI in real-world environments?

Viridien is expanding its ability to deploy secure, scalable and reliable agentic AI solutions across complex scientific and enterprise environments.

We are looking for a hands-on Forward Deployed AI Engineer to help adapt, integrate and deploy agentic AI systems in production across cloud, on-premises, hybrid and restricted environments.


Who you'll work with

As a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, platform engineers, and security and infrastructure specialists as well as scientific domain experts across Viridien. Learn more about our work and the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien.


What you'll work on

  • Contribute to design and implementation of 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.
  • Help develop reusable connectors, APIs and Model Context Protocol tools.
  • Build automated CI/CD, testing, configuration management and deployment workflows.
  • Work with colleagues to 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.
  • Troubleshoot production issues and convert deployment experience into reusable platform capabilities.

What we look for


Essential

  • Degree in computer science, software engineering, artificial intelligence, engineering or a related discipline, or equivalent practical experience.
  • Strong Python programming and software-engineering skills.
  • Experience developing, integrating and operating software or AI applications.
  • Working 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.
  • Troubleshooting skills across application, AI, infrastructure, network and data layers.

Desirable

  • Experience deploying agentic or generative AI applications in production.
  • Experience building and operating large-scale, distributed AI systems involving multiple agents, models, tools and services.
  • Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.
  • Experience with LangGraph, AutoGen, smolagents or similar frameworks.
  • Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.
  • Experience implementing AI evaluation, observability, tracing and performance monitoring.
  • Experience with high availability, autoscaling, load testing, incident management or restricted environments.
  • Experience applying AI to scientific, engineering, energy or geoscience workflows.

​Why work with us

  • Competitive salary commensurate with experience
  • Highly attractive bonus scheme
  • Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program
  • Hybrid working with two days at home, flexible working
  • Company pension with generous employer contribution
  • Wellbeing Unmind app – puts you in control of your mental health
  • A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and more
  • Cycle purchase scheme
  • Flexible Private Medical & Dental care programmes
  • Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!
  • Relaxed dress code policy

Learning and Development

At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.


We Care about the Environment

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Skills Required

  • Degree in computer science, software engineering, artificial intelligence, engineering, or a related discipline, or equivalent practical experience
  • Strong Python programming and software engineering skills
  • Experience developing, integrating, and operating software or AI applications
  • Working 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
  • Troubleshooting skills across application, AI, infrastructure, network, and data layers
  • Experience deploying agentic or generative AI applications in production
  • Experience building and operating large-scale distributed AI systems involving multiple agents, models, tools, and services
  • Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform, and CI/CD technologies
  • Experience with LangGraph, AutoGen, smolagents, or similar frameworks
  • Experience with Model Context Protocol, model-serving platforms, vector databases, and LLM gateways
  • Experience implementing AI evaluation, observability, tracing, and performance monitoring
  • Experience with high availability, autoscaling, load testing, incident management, or restricted environments
  • Experience applying AI to scientific, engineering, energy, or geoscience workflows
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Massy
637 Employees
Year Founded: 1931

What We Do

Viridien is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Building on our achievements and track record of innovation, Viridien continues to serve its clients in the energy industry with a unique portfolio of solutions across its core businesses of Geoscience, Earth Data and Sensing & Monitoring. As it accelerates its growth as an advanced technology company, Viridien has new offerings in the Low-Carbon markets of Minerals & Mining and Carbon Capture and Storage (CCS), and markets beyond energy in High-Performance Computing (HPC) and Infrastructure Monitoring.

Similar Jobs

In-Office
6 Locations
87 Employees
In-Office
London, Greater London, England, GBR
635 Employees

F5 Logo F5

Forward Deployed Engineer - AI Security

Cloud • Information Technology • Security • Software
In-Office
5 Locations
5847 Employees
138K-208K Annually

Barings Logo Barings

Artificial Intelligence Engineer

Fintech • Financial Services
In-Office
London, Greater London, England, GBR
2141 Employees

Similar Companies Hiring

Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account