Ubique Systems

TRCI-26-04705

FDE Architect (BTI) — LLM / Generative AI

Contract FDE Architect role in London (4–6 years) focused on designing and guiding solutions that use Large Language Models (LLMs) and Generative AI. The position requires strong architecture-level understanding of GenAI/LLM concepts and how to apply them in real systems, including model selection, prompting, and integration patterns.

Position summary

Location
United Kingdom
Workplace
Hybrid
Employment
Contract
Experience
Minimum 4 years and Maximum 6 years
Apply now

Role overview

Why This Role Matters.

Contract FDE Architect role in London (4–6 years) focused on designing and guiding solutions that use Large Language Models (LLMs) and Generative AI. The position requires strong architecture-level understanding of GenAI/LLM concepts and how to apply them in real systems, including model selection, prompting, and integration patterns.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

LLM

02

Large Language Model

03

Generative AI

04

GenAI

05

Prompt engineering

06

RAG

07

Retrieval Augmented Generation

08

Embeddings

09

Vector database

10

LLMOps

11

Model inference

12

Guardrails

13

Evaluation

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

LLM fundamentals (tokens, context window, inference)

Generative AI concepts and use cases

Solution/technical architecture for LLM-enabled applications

Prompting / prompt engineering basics

LLM integration patterns (APIs, orchestration)

Preferred

Nice to Have

RAG (Retrieval-Augmented Generation) concepts

LLM evaluation/guardrails concepts (hallucinations, safety)

Vector databases / embeddings concepts

MLOps/LLMOps concepts (deployment, monitoring)

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

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