Solutions Architect

Lorien; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

Lorien is seeking a Solutions Architect with AI experience to join one of our insurance clients on a 6-month contract in a hybrid London-based setup.

You will design end-to-end solutions across applications, data, integration and infrastructure, incorporate AI governance, ensure security best practices, and contribute to enterprise standards and reviews.

Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, or related discipline, or equivalent practical experience
• Certification in architecture or cloud certifications (TOGAF, Azure) would be beneficial
• Strong domain experience in financial services or pension industry
• Proven solution design expertise across applications, APIs, data, integration, infrastructure, security, and hybrid cloud architecture
• Solid knowledge of architectural principles, design patterns, and enterprise governance practices
• Experience with .NET, Python/Django, C, C++, Oracle/PostgreSQL/Azure SQL, PL/SQL, and React
• Comfortable across broad tech landscape including modern engineering practices, cloud platforms, and legacy environments
• Practical experience or awareness of AI-enabled architectures with GenAI/ML governance
• Experience aligning AI-enabled solutions with compliance, audit, and data protection requirements

Responsibilities

• Design and oversee end-to-end solutions across applications, data, integration, infrastructure, and emerging capabilities such as AI
• Produce and maintain high-level and detailed solution design artefacts
• Strong awareness of cyber security principles (secure-by-design, Zero Trust)
• Ensure consistency and reuse across solutions and platforms
• Apply systems thinking to manage dependencies, integrations, and data flows
• Apply and contribute to architecture principles, standards, patterns, and frameworks
• Ensure adherence to enterprise standards, security policies, and compliance requirements
• Participate in solution design reviews and governance forums
• Review and assure solutions for quality, consistency, and fitness for purpose
• Identify and manage risks, issues, and dependencies
• Awareness of AI/ML integration and governance considerations

Skills

Architecture design

Data integration

Security by design

Cloud architecture

AI governance

Stakeholder reviews

Education

Bachelor’s degree in Computer Science/IT/Engineering

Tools

.NET

Python/Django

C

C++

Oracle

PostgreSQL

Azure SQL

PL/SQL

React

TOGAF

Azure

Job description

We are currently recruiting for a Solutions Architect with AI experience to join one of our Insurance clients on a 6-month contract.

Inside IR35

Hybrid

• Responsibilities:Design and oversee end-to-end solutions across applications, data, integration, infrastructure, and emerging capabilities such as AI
• Produce and maintain high-level and detailed solution design artefacts
• Strong awareness of cyber security principles (secure-by-design, Zero Trust)
• Ensure consistency and reuse across solutions and platforms
• Apply systems thinking to manage dependencies, integrations, and data flows
• Apply and contribute to architecture principles, standards, patterns, and frameworks
• Ensure adherence to enterprise standards, security policies, and compliance requirements
• Participate in solution design reviews and governance forums
• Review and assure solutions for quality, consistency, and fitness for purpose
• Identify and manage risks, issues, and dependencies
• Awareness of AI/ML integration and governance considerations

Qualifications and Skills

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline, or equivalent practical experience
• Certification in architecture or cloud certifications (e.g., TOGAF, Azure) would be beneficial
• Strong domain experience working in financial services or pension industry
• Proven solution design expertise across applications, APIs, data, integration, infrastructure, security, and hybrid cloud architecture
• Demonstrate solid knowledge of architectural principles, design patterns, and enterprise governance practices
• such as .NET, Python/Django, C, C++, relational databases (Oracle/Postgresql/Azure SQL), PL/SQL, and React
• Comfortable working across a broad technology landscape, including modern engineering practices, cloud platforms, and legacy environments
• Practical experience or strong awareness of AI-enabled architectures, including embedding GenAI/ML capabilities into enterprise solutions with appropriate governance and controls
• Experience in aligning AI-enabled solutions with compliance, audit, and data protection requirements