974,769open jobs
58,667companies
160,073added this week
Browse all
Salary
$79k – $118k per year
Location
In office (London, Leeds, Edinburgh)
Seniority
Staff

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match

FCA

The FCA enables a fair and thriving financial services market, for the good of consumers and the economy.

Job Title: AI Technical Lead (Solutions & Engineering)

Division: Data, Technology and Innovation (DTI)

Department: AI Product Delivery

  • Salary: London from £59,200 to £88,600 per annum and National (Edinburgh and Leeds) ranging from £53,800 to £80,600 (salary offered will be based on skills and experience)
  • This role is graded as: Senior Associate - Regulatory
  • Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.

About the FCA and team

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.

The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency.

The AI Product Delivery Department (AIPD) exists to transform FCA business processes through AI, safely and at scale. It provides the product-led capability to meet growing organisational demand, moving work from promising AI experiments into live, adopted services. Its operating model combines portfolio and value management, platforms and engineering, and three cross-functional delivery pods focused on Authorisations, Supervision and Enforcement priorities. The Products and Delivery Team owns pace, execution and adoption: turning validated business problems into secure products, embedding AI into real workflows, using evaluation, provenance and go-live discipline

You will provide hands-on technical leadership for one pod. You will translate product outcomes into a coherent, secure and operable solution, leads internal and supplier engineers, and ensures the product can move from MVP to production without avoidable architectural rework.

Role responsibilities

  • Lead the pod’s technical execution, translating product outcomes into implementable solutions, guiding engineering decisions, maintaining clear technical decision records and aligning delivery pragmatically with shared FCA platform standards, enterprise constraints and long-term sustainability
  • Shape the technical foundations of a newly established AI Product Delivery function and, together with the Platforms and Engineering team, defining engineering standards, reusable patterns and delivery approaches that will influence multiple AI products across the organisation
  • Translate product and operational requirements into scalable end-to-end solutions spanning user journeys, APIs, events, data flows, AI services and enterprise integrations, ensuring technology delivers measurable business value
  • Conduct technical design reviews, supplier engagement, code reviews, assurance activities and engineering oversight while mentoring teams and remaining hands-on enough to validate critical assumptions ensuring internal and supplier engineers operate to industry best practice and FCA strategic standards, while promoting effective knowledge transfer, mentoring and sustainable code ownership
  • Drive intelligent technology decisions by selecting the most appropriate approach across deterministic software, workflow automation, retrieval systems, foundation models and agentic solutions
  • Design how deterministic services, workflow orchestration, specialised agents, tools, memory and human approval operate as one governed system, applying the minimum level of agency necessary for the use case
  • Design for evidence and provenance where the risk tier requires it: traceable inputs, source evidence, tool calls, outputs, approvals, versions, corrections and replay
  • Own the integration, drawing on shared data, security and knowledge-architecture specialists rather than duplicating enterprise functions
  • Define technical readiness - resilience, performance, observability, support and incident handling - and provide the technical readiness view for go-live.
  • Present progress and summaries to non-technical staff up to senior leadership team and beyond as required

Skills required

Minimum:

  • A solid practical background as a staff, principal or lead engineer delivering complex production systems
  • Experience designing cloud-native architectures across APIs, distributed systems, events or workflow platforms
  • Experience leading internal or supplier engineers through design review, code review and coaching

Essential:

  • Taking AI-enabled and data-intensive products from proof of concept to fully operational and supported services
  • Developing robust, production-ready code with security by design, observability, testing and CI/CD
  • Integrating enterprise systems while balancing rapid MVP delivery with sustainable architecture
  • Making clear, well-documented technical decisions and constructively challenging assumptions and approaches
  • Designing systems that maintain human oversight, auditability and accountability for decisions
  • Driving knowledge management and ensuring effective transfer of technical expertise into permanent organisational ownership
  • Particularly valuable: experience with AWS Bedrock and AgentCore; RAG, agentic workflows, LLM judges and evaluation-driven development and human-in-the-loop systems. Designing controlled learning and adaptation loops in which operational outcomes can generate lessons, skills or changes to prompts, tools and workflows, with evaluation, versioning, approval and rollback before production deployment. Entity resolution, temporal modelling, provenance, event driven architectures, graph or knowledge architectures - including decision-record patterns. Regulated, public-sector or high-accountability delivery.

Benefits

  • 25 days annual leave plus bank holidays
  • Colleagues spend a minimum of 50% of their working time in the office each month (60% for Directors and Executive Directors) across our London, Leeds and Edinburgh offices
  • Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary
  • Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
  • 35 hours of paid volunteering annually
  • A flexible benefits scheme designed around your lifestyle

For a full list of our benefits, and our recruitment process as a whole visit our benefits page.

Our values & culture

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation.

If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support.

We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable.

Disability Confident: our hiring approach

We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.

Useful information and timeline

  • Advert Closing: 11 October at 11:59pm
  • CV Review/Shortlist: 13 October
  • Technical Assessment: 14 - 21 October
  • Case Study: 29 October- 3 November
  • Interview W/C: 9 November
  • The selection process will involve a technical assessment, a case study presentation and a formal competency-based interview
  • Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
974,769 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
London
≈ $128k – $247k per year (Estimated) • Remote (United Kingdom, Poland, EST hours) • 10+ years exp • Manchester
AI/ML
NLP
DevOps
Rest API
Azure
CI/CD
SOAP
Cybersecurity
SOC 2
GDPR
HIPAA
Analytics
Power BI
Master Data Management
Management
ServiceNow
UiPath
Agile
Apply
≈ $106k – $212k per year (Estimated) • Equity • In office • Full-Time • London
SQL
AI/ML
AI Agents
Analytics
Microsoft Excel
Management
Google Sheets
Apply
≈ $104k – $206k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Edinburgh • Southampton
AI/ML
Fine-tuning
Embeddings
Prompt Engineering
AI Agents
TensorFlow
PyTorch
LLM
RAG
Agentic Workflows
Machine Learning
Management
Agile
Apply
$88k – $132k per year • In office • Full-Time • London • Leeds • Edinburgh
AI/ML
Function Calling
AI Agents
LLM
RAG
Tool Use
Management
Agile
Apply
$88k – $132k per year • In office • Full-Time • London • Leeds • Edinburgh
AI/ML
Function Calling
AI Agents
LLM
RAG
Tool Use
Management
Agile
Apply
AI Engineer 1 day ago
≈ $47k – $135k per year (Estimated) • In office • 4+ years exp • Tbilisi
Python
Databases
Databricks
Microsoft Fabric
AI/ML
LangChain
Embeddings
AI Agents
Semantic Kernel
LLM
RAG
Hybrid Search
OpenAI
LLMOps
OCR
LLM Guardrails
Multi-Agent Systems
Machine Learning
DevOps
Rest API
Azure
Git
AWS
Docker
Kubernetes
Azure AKS
Cybersecurity
GDPR
Apply
≈ $31k – $58k per year (Estimated) • Remote (likely EAEU) • Moscow
Python
Java
SQL
Scala
Python
pySpark
Databases
ClickHouse
Apache Iceberg
Apache Kafka
Trino
AI/ML
Hadoop
Spark
Airflow
Claude Code
LLM
RAG
DevOps
Yandex Cloud
CI/CD
Git
Docker
Kubernetes
Analytics
ETL/ELT
Apply
≈ $19k – $36k per year (Estimated) • In office • 3+ years exp • Moscow
SQL
Databases
PostgreSQL
Apache Kafka
AI/ML
Cursor
LangGraph
LangChain
Claude Code
Model Context Protocol
AI Agents
LLM
RAG
OpenAI Codex
DevOps
Rest API
Management
UML
BPMN
QA
Postman
Insomnia
Apply
≈ $16k – $32k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bengaluru
Python
SQL
PowerShell
Databases
Microsoft Fabric
AI/ML
AI Agents
Anomaly Detection
DevOps
Rest API
Azure DevOps
Azure
CI/CD
Platform Engineering
Self-Healing
AIOps
GitHub
Apply
up to $66k per year (net) • Hybrid • 2+ years exp • Moscow
Python
C++
C++
PyTorch C++
AI/ML
OpenCV
YOLO
Computer Vision
Transfer Learning
ONNX
TensorRT
PyTorch
EfficientNet
ONNX Runtime
DevOps
GitLab CI
CI/CD
Jenkins
Git
Docker
Linux
Robotics
ROS
Nav2
ROS2
Gazebo
MoveIt
Autoware
Isaac Sim
MuJoCo
Motion Planning
Apply
$88k – $132k per year • In office • Full-Time • London • Leeds • Edinburgh
AI/ML
Function Calling
AI Agents
LLM
RAG
Tool Use
Management
Agile
Apply
$88k – $132k per year • In office • Full-Time • London • Leeds • Edinburgh
AI/ML
Function Calling
AI Agents
LLM
RAG
Tool Use
Management
Agile
Apply
$79k – $118k per year • In office • London • Leeds • Edinburgh
Python
AI/ML
Function Calling
AI Agents
AWS Bedrock
LLM
RAG
Hallucination
Semantic Search
AWS Bedrock AgentCore
Structured Outputs
Semantic Search
Red Teaming
Agentic Workflows
Tool Use
DevOps
CI/CD
AWS
Management
Agile
Apply
$52k – $65k per year • In office • Full-Time • London • Leeds • Edinburgh
Apply
$81k – $100k per year • In office • Full-Time • PhD • London
Apply
Growth Project Lead 6 hours ago
≈ $92k – $187k per year (Estimated) • Hybrid • Full-Time • London
Apply
Hybrid • Full-Time • Master's Degree • London • Amsterdam • Berlin • Cambridge
AI/ML
Model Context Protocol
AI Agents
Apply
≈ $77k – $143k per year (Estimated) • In office • Full-Time • London
Apply
$120k – $203k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • London • Austin
Python
Java
PowerShell
C#
DevOps
Terraform
Ansible
GCP
Azure
CI/CD
Jenkins
AWS
Platform Engineering
Cybersecurity
PKI
Apply
≈ $63k – $146k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Edinburgh • London
SQL
Apply
See all jobs
This is one of many
974,769 more open roles from verified company boards, updated every day.