5 дней назад
Software Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Architect (AI): Building and directing a secure, AI-enabled enterprise platform of containerized microservices on Azure Kubernetes Service with an accent on API-driven services, enterprise integrations, and AI-assisted workflows. Focus on designing tool-calling and context-management architectures, coordinating multi-service releases, and solving production reliability and security challenges.
Location: Remote, preferred local to the DMV area; McLean, VA
Company
delivers secure technology solutions for government and enterprise environments.
What you will do
- Own the architecture, technical direction, service boundaries, API contracts, data flows, and engineering standards for the Workforce platform.
- Design AI-enabled application patterns, including tool calling, system instructions, context management, retrieval grounding, and LLM integrations.
- Lead technical execution through solution design, task breakdown, estimation, sequencing, code reviews, mentoring, and collaboration with the Product Manager.
- Serve as Release Manager for the multi-service release train, coordinating readiness, change control, rollback planning, and post-release verification.
- Partner with platform and DevOps engineers on CI/CD, Helm deployments to AKS, observability, autoscaling, performance testing, and production incidents.
- Contribute hands-on to full-stack feature development, integrations, critical-path work, debugging, and production fixes.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- 10+ years of professional software engineering experience and 5+ years designing and owning production application architecture.
- Ability to obtain and maintain a Secret security clearance.
- Strong coding ability in at least one strongly typed object-oriented language, such as Java, C#, TypeScript, Go, or Kotlin.
- Experience building modern web front ends, backend APIs, services, integration layers, and production application architectures.
- Knowledge of API design, authentication and authorization, data modeling, testing, secure software development, release practices, and AI-first application patterns.
Nice to have
- Experience with TypeScript, Node.js, React, microservices, containers, Kubernetes, AKS, Helm, and CI/CD pipelines.
- Experience with Azure Government, Azure GCC, or other compliance-constrained cloud environments.
- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, OpenAI or Azure OpenAI APIs, or similar frameworks.
- Experience with Microsoft 365 integrations, identity providers, sensitive data, auditability, DevSecOps, observability, and production support.
- Background in AI-enabled document workflows, search, summarization, workflow automation, agentic applications, SaaS, enterprise, government, or secure internal platforms.
Culture & Benefits
- Remote work environment with standard office or home-office conditions.
- Work includes collaboration through in-person communication, phone, and video conferencing.
- Culture emphasizes helpfulness, honesty, humility, continuous improvement, innovation, and mission-driven execution.
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