Principal Software Architect – AI, Cloud

Diversified Services Network, Inc.

. Design and orchestrate multi-agent workflows and stateful AI systems using LangChain, LangGraph, AutoGen, or CrewAI .

Posted 10/28/2026full-timeChicago • Illinois • United StatesLead💰 $161,000 - $171,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and orchestrating multi-agent workflows and AI systems, integrating foundation models through secure APIs, and establishing engineering standards for cloud-native deployment. Proven ability to lead technical initiatives, mentor engineering teams, and ensure compliance with security and governance policies.

Highest-signal resume keywords

LangChain Workflow DesignAPI Integration with Foundation ModelsMicroservices ArchitectureDocker and Kubernetes ProficiencyTechnical Leadership in AI Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java ProgrammingBackend DevelopmentPrompt EngineeringAI Coding AssistantsDistributed Systems DesignVector TechnologiesSoftware ArchitectureCloud-Native ApplicationsContinuous IntegrationRisk Management

Soft Skills

Strong CommunicationCollaborationStakeholder ManagementMentoringAbility to Work Under Pressure

Tools & Technologies

DockerKubernetesAWSLangGraphAutoGenCrewAICursorClaude CodeWindsurfPinecone

Industry Keywords

AI GovernanceSecurity ArchitectureApplication SecurityCloud Security Best PracticesAgile Methodologies

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerJavaKubernetesMicroservicesSDLC

About the role

Key responsibilities & impact

Design and orchestrate multi-agent workflows and stateful AI systems using LangChain, LangGraph, AutoGen, or CrewAI
Integrate foundation models such as Anthropic Claude, OpenAI GPT, and Google Gemini through secure API gateways
Manage token limits, costs, and rate-limiting
Architect AI-native data models integrating relational and vector databases for semantic search and RAG
Implement white-box testing and continuous evaluation metrics for factual correctness, hallucinations, and safety compliance
Champion secure, reliable, and scalable software solutions through architectural leadership, risk management, and continuous improvement
Mentor and scale an engineering team
Establish engineering standards, best practices, and architectural governance for secure coding, continuous integration, and cloud-native deployment
Integrate AI-assisted development tools such as Cursor, Claude Code, and Windsurf into the SDLC
Establish AI governance policies and coach developers on responsible AI use, data sensitivity, license compliance, and security guardrails
Evaluate systems, services, APIs, and data models for modernization, scalability, and performance improvements
Facilitate technical leadership forums with Product Owners, Technical Leads, Architects, and Engineering Managers
Lead architecture reviews, RFCs, and technical discussions
Promote self-service engineering and platform enablement
Drive automation initiatives improving productivity and software quality
Participate in Scrum ceremonies and PR reviews
Engage regularly with other teams and collaborate across the organization

Requirements

What you’ll need

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
Deep proficiency in backend environments, microservices architectures, and API design using Java
Extensive experience with Docker, Kubernetes, and public cloud infrastructure such as AWS
Hands-on experience with production-level AI agents, prompt engineering, and advanced Agentic PDLC patterns
Practical knowledge of vector technologies such as Pinecone, Milvus, Chroma, or pgvector
Demonstrated mastery of AI coding assistants and understanding of Model Context Protocol (MCP)
Proven experience designing and delivering large-scale distributed systems
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
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
Ability to work under pressure and within time constraints
Passion for technology and eagerness to contribute to a team-oriented environment
Ability to lead architectural designs and work across teams to develop solutions

Benefits

Comp & perks

Hybrid work model with 2 days of onsite work per week
401(k)
Dental insurance
Vision Insurance
Disability insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Paid Holidays