Solutions Architect - IoT & Industrial

3 days ago

Remote, United Kingdom +11 moreSenior

Responsibilities

Monitor generative AI, agentic architecture, MCP, retrieval, evaluation, and memory developments and create reusable demonstrations and technical content.
Design agentic solution architectures combining LLMs, SAS Platform, enterprise information, MCP servers, and tools.
Gather customer requirements, explain architectural trade-offs, and provide technical advice to customers, partners, and internal teams.
Collaborate with sales, product management, and R&D to qualify opportunities, respond to RFPs, identify capability gaps, and validate commitments.
Deliver customer and partner presentations, live demonstrations, and technical workshops.
Assess competitive and open-source offerings and evaluate field solutions and proofs of concept for potential product integration.
Prepare engineering handoffs documenting validated requirements, customer feedback, architecture, code, dependencies, and gaps.

Ability to independently design, build, test, deploy, and troubleshoot production-grade web applications end to end, including frontend, backend, REST APIs, authentication, integrations, and databases.
Strong hands-on Python expertise for API development, data access, testing, debugging, and dependency management, plus proficiency in JavaScript or TypeScript and modern web frameworks.
Proven experience building agentic AI applications with LangChain or LangGraph, including tool calling, orchestration, RAG, memory, context management, evaluation, observability, and MCP server development and integration.
Strong consultative and customer-facing skills, including interpreting requirements, clarifying business outcomes, advising customers, and supporting sales teams.
Excellent presentation, demonstration, and workshop facilitation skills for technical and executive audiences.
Understanding of how LLMs work with SAS Platform and analytics through MCP servers and tools; SAS technology experience is an advantage.
Hands-on Azure or AWS experience covering cloud architecture, enterprise integration, security, reliability, and scalability, plus Docker and Kubernetes.

Competitive salary package plus bonus and benefits.
Recorded fitness classes through the Recreation and Fitness Center.
Well-being programs designed to reduce stress and distractions.
Remote options can be considered from Dubai, Madrid, Marlow, London, Frankfurt, Munich, or Huizen.