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Java AI Architect

DroisysSt Louis, MOL6 LeadSeptember 6th, 2026
About CompanyDroisys’ is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters .Here are the job details Java AI Architect. Rate: $75/hr on c2c Onsite: Saint Louis - 4 days ( Hybrid)About the RoleWe are establishing how AI is used in software development across our engineering organization. This person defines the standards, guardrails, and working practices that let our development teams build with AI agents safely, consistently, and at speed.This is a hands-on technical leadership role. You will spend part of your time with business and engineering leaders shaping standards, and part of it in the codebase with delivery teams making those standards real. It is not a purely advisory or architecture- review position.You don't need to have owned this at an organizational scale before. You do need to have worked this way yourself and understand the concepts well enough to build on them.What You'll Do• Define and roll out our organization-wide approach to spec-driven development — how teams write specifications, plans, and tasks that AI agents can reliably execute.• Introduce and operationalize an AI-driven development lifecycle (AI-DLC): how AI fits into requirements, design, build, review, testing, and operations.• Build the guardrails that keep AI-generated work safe and consistent — steering documents, constitutions, agent rules, review gates, and quality checks — and tailor them per team rather than issuing one generic policy.• Evaluate, select, and roll out tooling (e.g. Kiro, GitHub Spec Kit, agentic coding assistants) and own the standards around them.• Work directly with development teams: pair with them, write code, unblock them, and prove the standards work in real delivery before scaling them out.• Partner with business stakeholders to translate their requirements into specifications that both humans and AI agents can work from.• Measure adoption and impact, and iterate on the standards as tooling changes.What You'll NeedCore (must have)• Hands-on experience working with spec-driven development, and practical familiarity with industry-standard tooling in this space — Kiro, GitHub Spec Kit, or equivalents.• Direct experience with steering documents, constitutions, and agent guardrails — whether you authored them or worked within them, you understand what belongs in them and why.• Solid working experience with agentic AI — building, integrating, or operating AI agents, not just using AI chat tools.• Broad understanding of current AI technologies and how they apply to software delivery.• Enough technical leadership to carry a room of stakeholders and a pull request with equal credibility.Also required (secondary to the above)• Strong Java and Spring background.• Experience designing and building microservices in production.Nice to have• Experience defining or rolling out AI development standards across multiple teams or an entire engineering organization.• Experience driving adoption of a new way of working against initial team resistance.Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.