Senior Manager, Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Manager, Software Engineering (AI): Leading the development and operations of a real-time API platform integrating Cloud, Big Data, and GenAI ecosystem with an accent on scalability, reliability, and AI-driven transformation. Focus on implementing LLM-powered services, agentic workflows, and establishing AI/LLM-specific evaluation harnesses.
Location: Must be based in the United States (Flexible work environment: remote, hybrid, or in-office options available)
Salary: $176,036 - $316,865
Company
is a global data and technology company powering opportunities for people and businesses worldwide across financial services, healthcare, and automotive sectors.
What you will do
- Lead engineering teams building platform capabilities using bureau and 3rd party data.
- Oversee the architecture and implementation of real-time, low-latency APIs supporting millions of daily transactions.
- Integrate AI/GenAI technologies including LLM-powered services, RAG, and agentic workflows.
- Define the long-term vision and roadmap for the API platform, focusing on modernization and AI-enablement.
- Establish AI/LLM-specific evaluation harnesses for prompt regression and hallucination detection.
- Collaborate with Product, DevOps, and Data Science teams to align technical execution with business goals.
Requirements
- Must be based in the United States.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience with 3+ years in engineering leadership roles.
- Hands-on experience delivering AI/ML or GenAI projects in production environments.
- Expertise in managing real-time, high-throughput API platforms and distributed systems.
- Proficiency with cloud platforms (AWS/GCP/Azure) and modern backend stacks (Java, Go, Python, or Node.js).
Nice to have
- Familiarity with Model Context Protocol (MCP) and Claude Skills.
- Experience with ML Ops capabilities and Data Science.
- Knowledge of event-driven architectures and message queues like Kafka.
- Background in test engineering and quality automation frameworks (JUnit, pytest, Playwright, k6).
Culture & Benefits
- Flexible work arrangement: ability to work remote, hybrid, or in-office.
- Comprehensive benefits package including medical, dental, vision, and matching 401K.
- Competitive compensation with a variable pay opportunity and bonus plan.
- Flexible time off, including vacation, sick leave, and 12 paid holidays.
- Inclusive, people-first culture recognized as one of the World's Best Workplaces.
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