Application Architect (AI)

About The Role

We are actively building diverse teams and welcome applications from everyone.

Role: Application Architect (AI)

Location: Remote (SCC operate hybrid working, which comprises of a mix of office and home working)

Contract Type: Permanent

Salary Package: £85,000 - £95,000 plus large company benefits, a broad flexible benefits scheme, and 2 paid‑for volunteering days a year

Hours: 9.00 am – 5.30 pm Monday – Friday

Interview Process: 2-stage process

Why SCC?

• An inclusive workplace
• Excellent package: solid basic and company benefits
• Hybrid working & core hours in line with role requirements
• Career development and life‑long learning opportunities
• Opportunity to join Europe’s largest privately‑owned IT Company

Role purpose

The AI Application Architect is responsible for the end‑to‑end architecture, design and evolution of AI‑enabled applications and solution patterns, ensuring alignment to business goals and delivery outcomes. This role focuses on applied AI, translating business problems into practical, secure and scalable AI solutions using platforms such as Azure AI Foundry, AWS Bedrock and Google Vertex AI, and embedding those capabilities into well‑architected application solutions. You will set architectural direction, define reference architectures and reusable accelerators, and guide engineering teams through design and delivery—ensuring solutions meet functional and non‑functional requirements including reliability, security, scalability, performance and governance standards.

Key responsibilities

• Lead the architectural design of AI‑enabled software applications, ensuring alignment with business/customer goals and delivery milestones.
• Translate stakeholder needs into clear technical requirements and target architectures for AI‑enabled application solutions.
• Design end‑to‑end AI solution architectures using Azure AI Foundry and AWS Bedrock to address specific business challenges.
• Define and maintain AI reference architectures and design patterns for common use cases such as document intelligence, conversational AI, knowledge mining and process automation.
• Provide technical direction to development teams, ensuring implementation aligns with architectural standards, best practices and agreed solution patterns.
• Oversee the development of AI application solutions across proof‑of‑concept through to production deployment and ongoing operations.
• Use reusable accelerators, templates and tooling to streamline delivery of AI‑enabled application solutions across initiatives.
• Define and implement AI solution lifecycle management (monitoring, evaluation, retraining and continuous improvement) within the broader application lifecycle.
• Ensure solutions meet performance, reliability and governance requirements; embed security and responsible AI considerations into architecture and design decisions.
• Develop and maintain architectural documentation (reference architectures, design decisions, patterns, runbooks) to support delivery and operational handover.
• Mentor and guide team members on AI solution design, architecture best practices, and effective delivery approaches.
• Collaborate with Cloud and Data Product Architects to ensure integrated solution design across the wider portfolio.
• Stay current with emerging AI services, tools and frameworks, evaluating applicability to architectural standards and delivery patterns.
• Contribute to the evolution of delivery methodologies, standards and practices to improve consistency, reuse and time‑to‑value for AI‑enabled application delivery.

Skills and experience

• Demonstrable experience in application architecture, including designing scalable and maintainable software solutions.
• Demonstrable background designing and delivering AI/ML solutions using with strong experience using cloud platforms.
• Experience integrating AI into applications and creating AI‑enabled applications.
• Strong understanding of software development methodologies and cloud technologies.
• Understanding of responsible AI principles, prompt engineering, model evaluation, and Infrastructure as Code (Terraform, Bicep) for AI workload deployments.
• Excellent problem‑solving and analytical skills, with the ability to develop purpose‑driven solutions.
• Strong communication and collaboration skills, including ability to explain complex technical/AI concepts to non‑technical stakeholders.
• Ability to manage multiple priorities, meet deadlines and provide leadership/mentoring across teams.
• Preferred certifications for Azure or AWS in AI and Architecture.
• Ability to attain UK Security Clearance (as per relevant contracts).

About Us

SCC is Europe’s largest privately‑owned IT business, based out of the new £7m HQ office in Birmingham and we help clients succeed through IT transformation and exceptional customer experiences. We are a business where innovation is greater as we combine unique ideas, people and disciplines. We are a global company that is passionate about IT and where we look to simplify the complex.

We are an equal opportunities employer

SCC is committed to providing equal opportunities and a proactive and inclusive approach to equality and diversity in employment. No applicant or employee will be treated less favourably than another on the grounds of a protected characteristic which are defined as sex, sexual orientation, age, disability, gender reassignment, trade union membership or non‑membership, marriage and civil partnership, pregnancy and maternity, race and religion or belief.

If you are selected for interview, and need any reasonable adjustments made for your interview, please let the SCC Talent Acquisition team know, at the point of scheduling.

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