9 дней 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 (Agentic AI/Enterprise Software): Defining enterprise architecture, coding-agent reference architectures, and automated development workflows with an accent on security, scalability, reliability, and responsible AI adoption. Focus on establishing Model Context Protocol standards, governing AI-generated software, solving complex integration challenges, and influencing long-term engineering strategy.
Location: US FL JAX 347
Company
develops technology for payments, banking, and investment services in the fintech sector.
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 standards for Model Context Protocol servers, tools, interfaces, and lifecycle management.
- Lead design decisions involving security, scalability, reliability, and platform interoperability.
- Create 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 programming languages.
- Experience shaping technical strategy for large-scale, long-term software initiatives.
- Deep experience with distributed systems, cloud architecture, APIs, security, production reliability, code quality, automated testing, and performance optimization.
- Ability to establish engineering standards and influence decisions across organizational boundaries.
- 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 with enterprise Model Context Protocol patterns 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 contribute to fintech technology.
- Personal and professional learning opportunities.
- Inclusive and diverse work environment.
- Resources to support community involvement.
- Competitive salary and benefits.
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