[Hiring] Solutions Architect @SAS

Role Description

The IoT and Industrial division is looking for a Solutions Architect to join our team and serve as a trusted technical advisor to customers, partners, and internal teams. You will translate customer needs into field-developed solutions, focusing on defining and implementing Agentic architecture approaches for IoT & Industrial Applications.

As a Solutions Architect – IoT & Industrial you will:

• Monitor developments in generative AI, agentic architectures, MCP tools, retrieval, evaluation, and memory.
• Create reusable demonstrations and technical content for sales and partners, share customer insights internally, and present innovations at SAS and third-party events.
• Serve as a trusted technical advisor to customers, partners, and internal teams, shaping agentic solution architectures that combine LLMs, SAS Platform, enterprise information, MCP servers, and tools.
• Gather and clarify customer requirements, answer technical questions, and explain architectural trade-offs for addressing customer specific scenarios.
• Collaborate with stakeholders to qualify opportunities and develop technical responses to RFPs by mapping requirements to proposed architectures, identifying capability gaps, and validating commitments with product management and R&D.
• Deliver compelling presentations, live demonstrations, and technical workshops for customers and partners.
• Explain business value, architectural choices, and solution limitations to technical and executive audiences.
• Conduct technical assessment of competitive and open-source offerings.
• Work with product management and R&D to assess promising field solutions and proofs of concept for product integration.
• Prepare handoffs covering validated requirements, customer feedback, architecture, code, dependencies, and gaps requiring further engineering.

Qualifications

• 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, including 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 to interpret requirements, clarify business outcomes, and provide credible technical advice.
• Excellent presentation, demonstration, and workshop facilitation skills.
• Understanding of how LLMs can work with SAS Platform and analytics through MCP servers and tools.
• Hands-on Azure or AWS experience, including cloud architecture, enterprise integration, security, reliability, and scalability, plus Docker and Kubernetes.

Benefits

• You will receive a competitive salary package plus bonus and great benefits.
• Our Recreation and Fitness Center offers recorded fitness classes to help you fit movement into your day.
• SAS supports your well-being with programs that reduce stress and distractions to help you stay healthy.