Principal AI Architect

Who We Are:

We believe in a world where research never sleeps.

Most companies struggle to understand their customers. Not because they don't try, but because market research can be siloed, slow, and incomplete.

Discuss is changing that. 

Our mission is to elevate  human understanding at scale by building the always-on solution that transforms market research, making it continuous and intelligent while keeping humans at the center. 

We’ve built a comprehensive, innovative, set of AI-driven solutions that have made us only one of two companies named a Leader in the Forrester Wave Q1 2026 Experience Research Platforms Report. Discuss has earned top rankings by G2 for Best Results, Customer Relationships, Usability, and more for 14 consecutive quarters. We’re not slowing down any time soon. 

In the age of AI, scaling empathy without losing human understanding matters. Solving this problem makes what we do every day both interesting and rewarding. Our team believes in doing the right thing, even when it's inconvenient. We build tools that customers love because we listen to them. We believe in transparency and we own the results together. 

Discuss is a team of 200+ employees in 23 countries, serving 900 customers worldwide. We hire people who care about the humans on the other side of the data and want to help build something that hasn't existed before.

If you want your work to make the distance between organizations and the people they serve feel, for once, like it isn't there, we'd love to talk.

Who We’re Looking For:

We are seeking a Principal AI Architect to own the evolution of our market research platform. Your goal is twofold: architecting sophisticated, privacy-first AI features for our global clients and leading the charge in transforming our internal development lifecycle through AI-augmented engineering.

The ideal candidate will bring deep expertise in AI/LLM implementation and full-stack architecture, with a strong focus on building privacy-first, scalable AI features. You will own both external product innovation and internal engineering transformation through AI-augmented development practices.

You thrive in complex environments, balancing performance, cost, and accuracy while designing intelligent systems. You’re also passionate about mentoring teams, driving adoption of emerging AI tools, and embedding best practices across the engineering organization.

In a perfect world, you’ll bring experience with distributed systems, real-time data processing, and AI infrastructure, along with familiarity in market research or analytics platforms.

What You’ll Do With Us:

AI Strategy & Orchestration

• Architect Complex Workflows: Design and implement multi-agent systems and LLM orchestration layers using frameworks like LangChain, LangGraph, or custom Node.js patterns.
• Performance Optimization: Implement advanced RAG (Retrieval-Augmented Generation) patterns, prompt caching, and model routing to balance cost, latency, and accuracy.
• Privacy & Compliance: Ensure all AI features adhere to market research privacy standards (GDPR, CCPA), focusing on PII redaction and secure data handling within LLM contexts.

Technical Leadership (Hands-on)

• Full-Stack Excellence: Lead the implementation of AI-driven UI components in React and scalable back-end services in Node.js (TypeScript).
• Infrastructure: Guide the selection of vector databases, embedding models, and monitoring tools (e.g., LangSmith, Helicone) to ensure system observability.

Engineering Acceleration

• AI for Engineering: Serve as the internal champion for AI-assisted development. Curate and implement toolsets (GitHub Copilot, Cursor, automated PR agents) to measurably accelerate our software delivery lifecycle.
• Mentorship: Upskill the broader engineering team on AI best practices, prompt engineering for devs, and the nuances of non-deterministic code.
  

What You’ve Done Before:

Required

• 8+ years of progressive software engineering experience
• 2+ years of hands-on experience with AI/LLM implementation
• Expert-level proficiency in Node.js/TypeScript and React
• Deep experience with OpenAI/Anthropic APIs, vector databases (Pinecone, Weaviate, or pgvector), and orchestration libraries
• Proven track record of designing distributed systems, microservices, and real-time data streaming
• Familiarity with data anonymization techniques and compliance frameworks within a cloud environment (AWS/Azure/GCP)

Bonus Points

• Experience with Python-based data pipelines
• Background in fine-tuning open-source models (e.g., Llama, Mistral)
• Experience with AI observability tools (LangSmith, Helicone)
• Familiarity with market research, analytics, or data platforms