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.
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.
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.

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.

Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach.
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

Solution Architect – AI, Automated Solutions

Key skills