4 дня назад
Principal Software Engineer (Agentic AI Architecture)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (Agentic AI Architecture): Defining enterprise architecture, coding-agent standards, reusable libraries, and automated workflows for AI-assisted software development with an accent on security, scalability, reliability, and governance. Focus on establishing Model Context Protocol standards, evaluating AI-generated software, solving complex integration challenges, and guiding architecture strategy across the organization.
Location: US FL JAX 347
Company
develops technology for payments, banking, and investment services in the fintech industry.
What you will do
- Define enterprise architecture and technical strategy for agentic software engineering capabilities.
- Establish reference architectures for coding agents, harnesses, reusable libraries, and automated development workflows.
- Set engineering standards for Model Context Protocol servers, tools, interfaces, and lifecycle management.
- Lead high-impact decisions involving security, scalability, reliability, platform interoperability, and enterprise adoption.
- Establish controls for evaluating, testing, monitoring, and governing AI-generated software.
- Advise engineering, product, implementation, and client-facing teams while coaching senior engineers and technical leads.
Requirements
- Master-level expertise in software architecture, platform engineering, and enterprise application development.
- Advanced proficiency with Python, TypeScript, or comparable languages.
- Experience shaping technical strategy for large-scale, long-term software initiatives.
- Deep experience with distributed systems, cloud architecture, APIs, security, and production reliability.
- Experience establishing engineering standards, automated testing, performance optimization, and software lifecycle governance.
- Degree in computer science, engineering, or a related field, or equivalent practical experience.
Nice to have
- Expertise in agentic programming, coding agents, or large language model application architecture.
- Experience defining enterprise patterns for Model Context Protocol development and adoption.
- Knowledge of Claude Code, GitHub Copilot, OpenCode, or comparable AI engineering ecosystems.
- Experience establishing AI evaluation, observability, safety, and governance frameworks.
- Client-facing engineering experience and an advanced technical degree.
Culture & Benefits
- Opportunities to make an impact in fintech.
- Personal and professional learning resources.
- Inclusive and diverse work environment.
- Resources to support community involvement.
- Competitive salary and benefits.
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