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 www.sophos.com. 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. In Canada, the base salary for this role ranges from $104,000 to $174,000. In addition to base salary, we offer additional  compensation including bonus eligibility and a comprehensive benefits package.  A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. #li-ND2 #li-remote #b2 Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? ·   Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. ·   Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit ·   Employee-led diversity and inclusion networks that build community and provide education and advocacy ·   Annual charity and fundraising initiatives and volunteer days for employees to support local communities ·   Global employee sustainability initiatives to reduce our environmental footprint ·   Global fitness and trivia competitions to keep our bodies and minds sharp ·   Global wellbeing days for employees to relax and recharge ·   Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity.   We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team.  All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation.  We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos.  If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights.  For more information on Sophos’ data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered | Sophos 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 teams to deploy using cloud native patterns (containers, serverless, microservices, CI/CD). Use managed AI and cloud services (e.g., Amazon Bedrock, Amazon SageMaker, and core cloud infrastructure) for orchestration, hosting, and deployment. Design and extend AI and automated solutions using Microsoft Copilot Studio, including low-code conversational workflows, enterprise connectors, custom actions, and integrations with business systems and Microsoft 365 experiences. Define and track KPIs (task success, latency, cost, user satisfaction) and use monitoring, logging, tracing, and evaluation to drive continuous improvement and ensure production readiness. What You Will Bring Experience integrating with cloud AI services and model platforms such as Amazon Bedrock, Amazon SageMaker, third-party LLM providers, or self-hosted open-source models. Experience with Microsoft Copilot Studio for building and extending enterprise AI solutions, including custom workflows, connectors, REST/API integrations, grounding with enterprise knowledge, and MCP-enabled integrations. Comfortable working in Python for AI application development, orchestration, and integration use cases. Hands-on experience building LLM-powered applications, including prompt engineering, tool-calling, structured outputs, and multi-step conversational workflows. Experience designing and implementing RAG systems, including document ingestion, chunking, metadata strategies, vector stores, hybrid search, and reranking. Familiarity with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent platforms. Proven experience as a Solution Architect, Lead Engineer, or Senior Engineer designing end-to-end enterprise solutions. Experience with at least one major cloud platform, ideally AWS, including networking, IAM, container orchestration, and serverless services. Experience instrumenting AI solutions with logging, response capture, monitoring, and feedback loops for continuous improvement.

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