Principal AI Platform Engineer

With market intelligence and search built on proven AI AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research company filings event transcripts expert calls news trade journals and clients own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together AlphaSense and Tegus will accelerate growth innovation and content expansion with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. 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.
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 : 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
12 years building and operating distributed systems in production

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

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.)
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.
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