AI Tech Lead

Jobtailor

Crawley

On-site

GBP 90,000 - 120,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor in the United Kingdom seeks a senior AI Architect to lead the technical implementation of the organisation's AI strategy, design scalable ML solutions, and act as technical authority on AI projects. You will mentor engineers, collaborate with Agile teams to embed AI capabilities, and establish MLOps and CI/CD pipelines.

You will ensure governance, security and compliance across initiatives while guiding architecture decisions and stakeholder engagement.

Qualifications

Proven experience delivering AI/ML/generative AI solutions.
Strong software engineering background.
Experience with cloud AI services (Azure, AWS, Google Vertex) and Python.
Experience with APIs, microservices and cloud-native architectures.
Security clearance (SC) required before commencing employment.
Degree in Computer Science, Software Engineering, Data Science or related field.
Ability to lead technical teams and mentor engineers.

Responsibilities

Lead the technical implementation of the organisation's AI strategy.
Design scalable AI and machine learning solutions.
Define architectures for Generative AI, ML and Intelligent Automation platforms.
Establish CI/CD pipelines and MLOps practices.
Mentor and develop engineers, architects and technical specialists.
Collaborate with Agile delivery teams to embed AI capabilities into products and services.
Lead proof-of-concepts, pilots and production implementations.
Ensure solutions align with security, governance and compliance requirements.

Skills

Software engineering

AI solutions

Cloud AI services

Python

APIs & Microservices

Data engineering

MLOps

LLMs

Prompt engineering

RAG

LangChain

Semantic Kernel

Model evaluation

Responsible AI

Technical leadership

Mentoring

Decision making

Stakeholder influence

Azure certifications

Security clearance

Degree in CS/SE/Data Science

Education

Degree in Computer Science, Software Engineering, Data Science or related discipline, or equivalent experience

Tools

Microsoft Copilot

Azure OpenAI

AWS AI

Google Vertex AI

LangChain

Semantic Kernel

Job description

Lead the technical implementation of the organisation's AI strategy
Evaluate emerging AI technologies and identify adoption opportunities
Define AI engineering standards, patterns and best practices
Act as technical authority for AI-related projects and programmes
Mentor and develop engineers, architects and technical specialists
Design scalable AI and machine learning solutions
Define architectures for Generative AI, Machine Learning and Intelligent Automation platforms
Establish patterns for integrating AI services into enterprise applications
Ensure solutions align with enterprise architecture, security and compliance requirements
Lead technical design reviews and architecture governance activities
Build and oversee development of AI-powered applications and services
Lead proof-of-concepts, pilots and production implementations
Collaborate with Agile delivery teams to embed AI capabilities into products and services
Establish CI/CD pipelines and MLOps practices
Drive technical quality, performance and operational resilience
Design and implement Large Language Model solutions and Retrieval-Augmented Generation architectures
Implement prompt engineering and AI orchestration frameworks
Evaluate AI model performance, accuracy and cost optimisation
Use Microsoft Copilot, Azure OpenAI and other enterprise AI services where appropriate
Embed responsible AI principles and implement monitoring, auditability and model governance controls
Assess risks relating to bias, security, privacy and ethical AI use
Work with legal, security and compliance teams to maintain regulatory adherence
Support AI governance boards and decision-making forums
Engage senior business stakeholders, translate requirements into technical solutions, present AI roadmaps and recommendations, and build relationships across technology, data and operational teams

Requirements

Strong software engineering background
Experience delivering AI, machine learning or Generative AI solutions
Knowledge of Azure AI Services, Azure OpenAI, AWS AI or Google Vertex AI
Experience with Python and modern development frameworks
Strong understanding of APIs, microservices and cloud-native architecture
Experience with data platforms, databases and data engineering concepts
Knowledge of MLOps, DevOps and CI/CD practices
Hands‑on experience with Large Language Models (LLMs), prompt engineering, Retrieval‑Augmented Generation (RAG), vector databases, and AI orchestration frameworks such as LangChain or Semantic Kernel
Understanding of model evaluation methodologies
Knowledge of responsible AI principles
Demonstrable experience leading technical teams
Ability to coach and mentor engineers
Strong technical decision‑making skills
Experience influencing stakeholders at multiple organisational levels
Relevant cloud certifications (Microsoft Azure preferred)
Security Clearance (SC) required before commencing employment
Generally, eligibility for full SC requires residence in the UK for the last 5 years; in some circumstances, 3 years' UK residence over the last 5 years may be accepted with additional overseas checks
Degree in Computer Science, Software Engineering, Data Science or related discipline, or equivalent experience

Core Competencies

Demonstrates expertise in leading AI strategy implementation, designing scalable AI and machine learning solutions, and establishing best practices for AI engineering. Proficient in mentoring technical teams and ensuring compliance with security and regulatory standards.

Highest-signal resume keywords