(1113439) Principal Software Architect - AI & Cloud

Job description

Principal Software Architect – AI & Cloud

Diversified Services Network, Inc. (DSN) is seeking a full-time Principal Software Architect – AI & Cloud to join our team in their choice of our Chicago, IL or Peoria, IL office locations. We offer full a hybrid work model, requiring 2 days of onsite work per week, benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!

Position Overview

This role designs and orchestrates multi-agent workflows and stateful AI systems, integrates foundation models into secure production environments, and architects AI-native data models that pair relational and vector databases for retrieval-augmented generation. Beyond hands-on architecture, the role provides technical leadership across engineering teams — mentoring engineers, establishing governance and standards for secure, cloud-native development, and driving the responsible adoption of AI-assisted engineering tools.

Key Responsibilities

Technical Architecture & AI Integration - Design and orchestrate multi-agent workflows and stateful AI systems using modern frameworks such as LangChain, LangGraph, AutoGen, or CrewAI. - Integrate foundation models (e.g., Anthropic Claude, OpenAI GPT, Google Gemini) via secure API gateways, managing token limits, costs, and rate-limiting. - Architect data models optimized for AI-native structures, integrating relational databases with vector databases for semantic search and Retrieval-Augmented Generation (RAG). - Implement robust white-box testing and continuous evaluation metrics to monitor AI outputs for factual correctness, hallucinations, and safety compliance. - Champion secure, reliable, and scalable software solutions through architectural leadership, risk management, and continuous improvement of engineering practices.

Technical Leadership & Workflow Optimization - Mentor and scale an engineering team, establishing engineering standards, best practices, and architectural governance for secure coding, continuous integration, and cloud-native deployment. - Drive AI-assisted engineering velocity by integrating next-gen development tools (e.g., Cursor, Claude Code, Windsurf) into the team's daily Software Development Life Cycle (SDLC). - Establish governance policies and coach developers on the responsible use of AI, focusing on input data sensitivity, license compliance, and security guardrails. - Evaluate existing systems, services, APIs, and data models to identify opportunities for modernization, scalability, and performance improvements.

Influence Across Teams & Developer Experience - Facilitate technical leadership forums with Product Owners, Technical Leads, Architects, and Engineering Managers. - Drive conversations around architecture, engineering health, technical debt, AI adoption, and continuous improvement. - Foster collaborative decision-making through architecture reviews, RFCs, and technical discussions. - Promote self-service engineering capabilities and platform enablement. - Drive automation initiatives that improve productivity and software quality.

Team Interaction & Work Environment - Significant, ongoing interaction with the Scrum team, including all ceremonies (Daily Standups, Sprint Planning, Grooming, Retro, Demo) and PR reviews. - Regular engagement with other teams as needed. - Strong collaboration is required across the role.

Requirements

Candidate Requirements

Education & Experience - Bachelor's degree in Computer Science, Electrical Engineering, or a related field, plus 10+ years of professional software engineering experience OR - Master's degree plus 8+ years of experience, including 2+ years in a technical leadership role.

Core Software Engineering - Backend Systems: Deep proficiency in backend environments, microservices architectures, and API design using Java. - Cloud & DevOps: Extensive experience with containerization (Docker, Kubernetes) and public cloud infrastructure such as AWS.

AI & LLM Infrastructure - Orchestration & Tooling: Hands-on experience with production-level AI agents, prompt engineering, and advanced Agentic PDLC patterns. - Vector Databases: Practical knowledge of vector technologies such as Pinecone, Milvus, Chroma, or pgvector. - AI Tool Fluency: Demonstrated mastery of AI coding assistants and a firm understanding of Model Context Protocol (MCP) to mediate agent connections with external databases.

Additional Qualifications - Proven experience designing and delivering large-scale distributed systems. - Strong expertise in software architecture, APIs, microservices, cloud-native applications, and modern engineering practices. - Experience influencing multiple engineering teams and leading organization-wide technical initiatives. - Strong communication, collaboration, and stakeholder management skills. - Demonstrated ability to mentor engineers and drive technical excellence. - Experience with Generative AI, AI agents, LLM-powered applications, or intelligent automation platforms. - Knowledge of security architecture, application security, and cloud security best practices. - Experience establishing technical governance and engineering standards across multiple teams.

Soft Skills - Ability to work under pressure and within time constraints. - Passion for technology and an eagerness to contribute to a team-oriented environment. - Ability to lead architectural designs and work across teams to develop solutions.

Benefits - 401(k) - Dental insurance - Vision Insurance - Disability insurance - Employee assistance program - Health insurance - Health savings account - Life insurance - Paid time off - Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com

Salary expectations: 161000-171000 per annual