Software Architect (m/w/d)
Rollenübersicht von JobGrid
Software Architect (m/w/d) at Beam AI: Berlin, Deutschland; Hybrid; Vollzeit; Lead; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Berlin, Deutschland, Hybrid
- Role classification: IT, Sonstige IT, Vollzeit, Lead
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/.
About the Team
Beam’s engineering team is building the core infrastructure for self-learning agents, turning AI into reliable, production-grade systems. We work across the full stack, from frontend to infra, solving for real-time orchestration, tool integration, and complex workflow execution. This is a high-trust, high-impact environment where engineers move fast, ship often, and help shape both the product and the platform as we scale. If you care about building with clarity, speed, and depth, you’ll do your best work here.
About the Role
We’re looking for a seasoned Software Architect to lead the design of our GenAI and agentic systems. You’ll define the architectural north star for how Beam builds intelligent, autonomous agents that reason, learn, and operate at scale. This is a high-impact role for someone who can bridge visionary product thinking with deep technical execution. You’ll influence everything from our orchestration frameworks to model experimentation pipelines, and ensure our technical choices align with strategic outcomes.
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.