[Hiring] Product Architect @SCC

Role Description

As a Product Architect – AI, you will design and develop SCC’s applied AI solutions across Managed Services and Professional Services. You’ll translate business problems into practical AI use cases using platforms like Azure AI Foundry, AWS Bedrock, and Google Vertex AI. You will define reference architectures, build reusable accelerators, and guide engineering teams to deliver secure, scalable, reliable AI solutions. You’ll champion responsible AI and efficient resource usage while shaping SCC’s AI services portfolio. Working closely with product, engineering, and commercial teams, you will turn concepts into production-ready AI solutions—from proof of concept through deployment and ongoing operations.

Key Responsibilities

• Design end-to-end AI solution architectures using Azure AI Foundry, AWS Bedrock, and Google Vertex AI to address specific business challenges.
• Define and maintain AI reference architectures and design patterns for common use cases including document intelligence, conversational AI, knowledge mining, and process automation.
• Build and maintain the AI Managed Services portfolio, defining service offerings, SLAs, and operational procedures.
• Develop reusable accelerators, templates, and tooling to streamline AI solution delivery across engagements.
• Create Professional Services engagement frameworks, scoping templates, and delivery methodologies for AI projects.
• Hands-on development of proof-of-concepts and prototypes to validate AI solution approaches with customers.
• Define and implement AI solution lifecycle management including monitoring, model evaluation, retraining, and continuous improvement.
• Monitor the rapidly evolving AI landscape, evaluating new services, tools, and frameworks across Azure, AWS, for applicability to the services portfolio.
• Collaborate with Cloud and Data Product Architects to ensure integrated solution design across the broader product portfolio.
• Guide and mentor engineering teams on AI solution design, and develop internal training materials and knowledge-sharing sessions on AI technologies.

Qualifications

• Demonstrable background in designing and delivering AI/ML solutions using cloud platforms, with strong experience in Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Copilot Studio, and Azure AI Document Intelligence.
• Working knowledge of AWS Bedrock/SageMaker, with experience designing RAG architectures and AI orchestration patterns (Semantic Kernel, AutoGen, Microsoft Agent Framework, LangChain).
• Experience integrating AI into applications and creating AI enable applications.
• Strong communication and collaboration skills, with the ability to explain complex AI concepts to non-technical stakeholders and support pre-sales engagements.
• Understanding of responsible AI principles, prompt engineering, model evaluation, and proficiency with Infrastructure as Code (Terraform, Bicep) for AI workload deployments.
• Experience in a professional services, consulting, or managed services environment, with a demonstrable portfolio of AI solutions delivered for business use cases.
• Familiarity with Microsoft Well-Architected Framework and Azure Landing Zones.
• Preferred certifications: Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), AWS Certified Machine Learning – Specialty, or Google Professional Machine Learning Engineer.

Benefits

• 80k - 95k salary package plus large company benefits.
• Broad flexible benefits scheme.
• 2 paid-for volunteering days a year.
• Hybrid working & core hours in line with role requirements.
• Career development and life-long learning opportunities.