Solution Architect – AI and Automated Solutions
About Us
Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response.
Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats.
Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at .
Role Summary
The Solution Architect – AI and Automated Solutions partners with enterprise customers to design and deliver intelligent solutions that automate workflows, improve knowledge access, and support new product and operational capabilities. This role owns the technical journey from discovery and architecture through prototyping, production deployment, and continuous improvement.
The position works closely with business and engineering stakeholders to translate ambiguous requirements into scalable solutions integrated with existing applications, data platforms, and collaboration tools. The role may leverage cloud AI platforms such as Amazon Bedrock or Amazon SageMaker and, where appropriate, productivity ecosystems such as Microsoft 365 Copilot.
What You Will Do
Solution Architecture and Stakeholder Collaboration
- Lead discovery sessions to identify high-value use cases for AI and automated solutions, including workflow automation, copilots, knowledge retrieval, and intelligent routing.
- Translate business objectives into technical designs covering workflows, data flows, integration points, and non-functional requirements such as latency, reliability, security, and compliance.
AI and Automated Solution Design and Implementation
- Design and implement AI Agentic solutions that can reason, plan, call tools, and execute multi-step tasks across APIs, databases, SaaS platforms, and document repositories.
- Build solution workflows using patterns such as planner-executor, supervisor-worker, and human-in-the-loop with frameworks including LangChain, LangGraph, and similar orchestration libraries such as LlamaIndex and Semantic Kernel.
- Use MCP-style protocols to standardize tool discovery and invocation, including tool schemas, validation, retries, error handling, and safe execution patterns.
- Implement retrieval-augmented generation pipelines, including ingestion, chunking, metadata design, embeddings, vector indexing, hybrid search, reranking, and retrieval orchestration.
- Apply prompt and policy design techniques, including structured prompting, guarded templates, reasoning aids, and evaluation approaches to improve quality and reduce hallucinations.
Systems Integration and Productionization
- Integrate AI and automated solutions into web and mobile apps, core enterprise systems (CRM, Support, ERP, HR, finance, ticketing, supply chain), collaboration tools, and process platforms.
- Define and implement guardrails and safety controls, including authorization, policy enforcement, content filtering, PII protection, and safe tool calls.
- Work with platform and DevOps te