KMS Technology
Technology
AI-NativeSolutionsArchitect(SoftwareEngineeringTransformation)
Neural analysis suggests this role is
optimal for mid candidates.
“AI-Native Solutions Architect (Software Engineering Transformation) at KMS Technology. Skills: AI-native SDLC, Multi-agent systems, Prompt engineering, Agent evaluation. Own AI-native SDLC operating model. Evolve KMS's AI-native SDLC”
What You'll Achieve.
Move engineers to AI-native patterns; Update KMS practices; Bring automation to life; Achieve measurable ROI
Industry & Context.
Root cause analysis; Troubleshooting; AI evals
What They're Looking For.
Must Have
8+ years software engineering, Lead technical initiatives, Full SDLC experience, Lead technical direction, Command software architecture principles, Proficiency in Python, Proficiency in TypeScript, Proficiency in JavaScript, Proficiency in Java, Proficiency in .Net, Proficiency in Go, Production-grade AI coding agents, LLM API integration, Design and run AI evals
Nice to Have
Agentic frameworks experience, MLOps knowledge, AI security risks familiarity
What You'll Do.
Own AI-native SDLC operating model
Evolve KMS's AI-native SDLC
Build multi-agent systems
Lead multi-agent systems
Contribute to AI toolchain criteria
Maintain KMS's AI toolchain criteria
Evaluate tools with engineering rigor
Publish guidance on AI use
Establish prompt engineering standards
Establish agent evaluation loops
Establish AI output quality gates
Develop AI-native SDLC playbook
Evolve KMS's AI-native SDLC playbook
Design upskilling programs
Lead upskilling programs
Track AI capability frontier
Translate signals into updates
Identify automation opportunities
Coordinate automation deployment
Design agent-orchestrated workflows
Deploy agent-orchestrated workflows
Build business cases for AI adoption
Frame value in velocity
Frame value in quality
Represent AI capabilities
Act as technical authority
How You'll Work.
Team & Collaboration
Cross-team influence; Delivery Teams; Account managers; Client conversations; RFP responses
Communication Scope
Client conversations; QBRs; RFP responses
Process & Methodology
Agile
Full Job Description
KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions-faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: Website: [https://kms-technology.com](https://kms-technology.com/) LinkedIn: AI-Native Engineering Practice - Technical Ownership: * Own and continuously evolve KMS's AI-native SDLC operating model at KMS: agent workflow designs, verification gates, context management standards, and eval frameworks * Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent — from prototype to production * In collaboration with the Director of Engineering, contribute to and help maintain KMS's AI toolchain selection criteria — evaluating tools with engineering rigor, not hype — and publishing internal guidance on when AI helps and when it hurts * Establish prompt engineering standards, agent evaluation (evals) loops, and AI output quality gates across the delivery organization Capability & Standards Leadership * Prior experience in a lead, principal, or staff engineer role with demonstrated cross-team influence * Experience in outsourcing, consulting, or multi-client delivery environments * Develop and continuously evolve KMS's AI-native SDLC playbook — standards, workflow templates, case studies, and
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