Principal AI Platform Engineer

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. Youll join a team of brilliant engineers whove built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. Youll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the worlds leading companies.

What Youll Do

• Architect for Scale

  : Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency



• Build Engineering Excellence

  : Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do



• Lead Through Expertise

  : Mentor a team of smart, motivated engineers, sharing your experience in building production systems that dont break at 3 AM



• Drive Platform Evolution

  : Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come



• Bridge AI and Engineering

  : Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What Were Looking For

Required:

• 12+ years building and operating distributed systems in production


• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)


• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code


• Experience leading technical initiatives and mentoring engineering teams


• Strong coding skills with ability to work across the stack


• Excellence in debugging production issues and implementing comprehensive observability


• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure


• Familiarity with prompt engineering, RAG patterns, vector databases


• Background at high-growth companies or modern engineering cultures


• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact Youll Have

Within your first year, youll transform how we build and operate software. Youll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, youll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.