Artificial Intelligence Engineer

Dabster; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dabster is hiring a Forward Deployment Engineer (FDE) to collaborate with enterprise clients across the UK, delivering AI, cloud and integration programmes. You will design and deploy cloud-native solutions, implement secure DevSecOps pipelines, and lead PoCs turning new tech into scalable business value.

You will work with cutting-edge tools like LangChain and vector search technologies while aligning with TOGAF and other architecture standards to modernise platforms and secure data.

Qualifications

• Experience delivering enterprise integrations and distributed systems.
• Credible background in cloud-native architectures and multi-cloud patterns.
• Familiarity with DevSecOps, GitOps, MLOps and AI security practices.

Responsibilities

• Partner with client stakeholders to translate business challenges into technical solutions.
• Deliver enterprise integrations, microservices, event-driven architectures and distributed systems.
• Architect and implement cloud-native solutions on Azure, AWS, and/or GCP using containers and Kubernetes.
• Implement CI/CD, IaC (Terraform/Ansible), observability, and secure pipelines.
• Design and deploy Generative AI and Agentic AI solutions using LangChain, LangGraph, and related tools.
• Utilize RAG, vector search (Pinecone, Weaviate, FAISS) and secure AI patterns.
• Apply enterprise architecture principles (TOGAF, Zachman) to modernise platforms.
• Embed Zero Trust, IAM, encryption, and compliance into AI implementations.
• Lead PoCs and accelerators turning emerging tech into measurable outcomes.

Skills

Cloud-native engineering

DevSecOps

MLOps

LLMOps

Generative AI

AI agents

Enterprise architecture

Tools

Kubernetes

Terraform

Ansible

Azure

AWS

GCP

LangChain

Pinecone

Weaviate

FAISS

Job description

At Dabster, we are your one-stop destination for talent acquisition and digital innovation. Our customized, scalable talent solutions empower organizations to concentrate on their core business while we expertly match the right talent to the right roles.

Who will you work with:

Partnering with a global technology leader that is driving innovation across cloud, data, AI, and enterprise solutions. They offer an exciting environment for professionals who want to contribute to impactful digital transformation projects and work on cutting-edge technology initiatives.

About the Role:

We’re hiring a Forward Deployment Engineer (FDE) to work directly with enterprise clients across the UK on high-impact AI, cloud, and integration programmes.

What You’ll Do:

• Partner with client stakeholders to understand business challenges and translate them into technical solutions.
• Deliver enterprise integrations, microservices, event-driven architectures, and distributed systems.
• Architect and implement cloud-native solutions on Azure, AWS, and/or GCP using containers, Kubernetes, serverless, and multi-cloud patterns.
• Implement DevSecOps, GitOps, MLOps, and LLMOps practices: CI/CD, Infrastructure as Code (Terraform, Ansible), observability, and automated pipelines.
• Design and deploy Generative AI and Agentic AI solutions: Using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, etc.
• Implementing RAG, vector search (Pinecone, Weaviate, Azure AI Search, FAISS, Chroma), prompt engineering, and secure AI patterns.
• Use AI coding agents in daily work (e.g., Claude Code, GitHub Copilot Coding Agent, Cursor, Windsurf, OpenAI Codex/ChatGPT Agent, Amazon Q Developer, Google Gemini Code Assist, Continue.dev) and be able to demonstrate their impact.
• Apply enterprise architecture principles (TOGAF, Zachman, cloud-native design patterns) to modernise platforms and integrations.
• Embed security best practices: Zero Trust, IAM, encryption, compliance, and secure AI implementations.
• Lead PoCs, accelerators, and innovation initiatives, turning emerging tech into scalable, measurable business outcomes.
• Support data engineering needs: ETL/ELT pipelines, data lakes, streaming, and analytics architectures that underpin AI and BI solutions.