Senior Software Engineer – Agentic AI

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

In This Role

In this role, you will act as a senior technical leader responsible for designing, building, and evolving large-scale cloud-native and AI-powered systems that support a global consulting and enterprise delivery organization. You will lead architectural decisions, drive hands-on development, and shape the next generation of agentic AI solutions used across critical business workflows.

You will work closely with cross-functional engineering, product, and platform teams to define requirements, review designs, and unblock complex technical challenges. The role balances deep technical execution with strategic influence, requiring both hands-on engineering and leadership in architecture, quality, and operational excellence.

 

Key Responsibilities

• Lead the architecture, design, and implementation of large-scale cloud-native, full-stack, and AI-powered systems.
• Drive technical direction for AI engineering initiatives, including LLM integration, retrieval-augmented generation (RAG), grounding strategies, embeddings, and agentic AI patterns.
• Design, re-architect, and extend enterprise AI agents and intelligent workflows used across business-critical scenarios.
• Provide senior technical guidance on distributed systems, microservices, event-driven architectures, and cloud integration patterns.
• Review and approve system designs covering APIs, data stores, messaging systems, and enterprise integrations.
• Define and enforce engineering standards for security, scalability, reliability, performance, and maintainability.
• Lead hands-on development, code reviews, performance tuning, and complex troubleshooting in production environments.
• Partner with cross-functional teams to define scope, technical requirements, delivery milestones, and release plans.
• Drive CI/CD, automated testing, deployment strategies, and operational improvements for cloud and AI systems.
• Mentor senior and mid-level engineers, raising technical quality and engineering maturity across the organization.
• Take ownership of incident response, root cause analysis, and continuous reliability improvements for live services.

 

Required Qualifications

• 10+ years of overall experience in software engineering, including large-scale enterprise systems.
• Strong hands-on experience with full-stack development using modern backend and frontend technologies.
• Deep expertise in cloud architecture and distributed systems, including microservices, event-driven design, and observability.
• Proven experience designing and implementing scalable, secure cloud-native applications.
• Hands-on experience building AI-powered features using LLMs, RAG pipelines, embeddings, and grounding techniques.
• Strong proficiency in backend development (C#, .NET or equivalent), REST API design, and modern web technologies.
• Experience working across the full software development lifecycle: architecture, design, development, testing, deployment, and operations.
• Demonstrated ability to lead technical design discussions and