About the role

Software Architect leading design of AI and agentic systems for Beam AI's self-learning agents. Defining architecture and frameworks to enhance intelligent workflows and deliver business impact.

Responsibilities

Define the architecture vision for GenAI and agentic systems, including orchestration, memory, and reasoning layers.
Design modular, scalable systems that support LLMs, RAG pipelines, vector databases, and multimodal inputs.
Architect agentic workflows capable of multi-step reasoning, autonomous decision-making, and long-context operations.
Lead technical decision-making across key systems, ensuring alignment with product goals and cost efficiency.
Build frameworks for experimentation, model evaluation, and fast iteration in production.
Partner with product, ML, and engineering to bring new features to life, with speed and strategic clarity.
Drive scalability, observability, and reliability across inference, retrieval, and orchestration pipelines.
Translate architecture into business impact: act as a technical voice in leadership conversations and client engagements.
Mentor senior engineers, shape design standards, and cultivate architectural excellence across the team.

10+ years of experience in software engineering, with 3+ years architecting AI/ML systems at scale.
Expertise in LLMs, agentic frameworks, RAG, vector databases, and orchestration layers.
Strong backend engineering skills in Node.js, Python, or Go.
Deep understanding of cloud platforms (AWS, GCP, or Azure) and MLOps tooling.
Track record of aligning architecture with business strategy and measurable outcomes.
Exceptional communication skills across technical and executive audiences.
Proven mentorship and technical leadership experience.
Nice to Have: Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
Familiarity with open-source model stacks (Llama, Mistral) or commercial APIs (OpenAI, Anthropic).
Exposure to multi-agent systems and long-running autonomous workflows.

At Beam, we’re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow.
We’re thoughtful about what we build, how we work, and who we hire.
The problems we’re solving are real.
The systems we’re building are complex.
And the people here care deeply, about craft, about speed, and about doing work that actually matters.
You won’t find rigid hierarchies or endless process here.
You’ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation.
Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.
Speed as a habit: We ship fast, learn faster, and prioritize unblocking over perfection.
Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.
Highly aligned, loosely coupled: We align on outcomes, not tasks.
Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.