Autonomous Systems Architect

Cambridge Consultants; Cambridge; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Cambridge Consultants is seeking a high-impact AI/ML Systems Architect to design autonomous, agent-based systems and scalable cloud platforms. You’ll work across sensing, planning, and memory modules while coordinating with biologists, roboticists, and software engineers to deliver production-ready solutions.

The role emphasizes hands-on development in Python/TypeScript, modern DevOps, and cloud tooling, with hybrid work options and Cambridge in-person collaboration for key meetings.

Qualifications

• Design and implement autonomous systems with world models and real-time loops.
• Design robust cloud deployments with observability and security in mind.
• Prototype quickly for clients with a demo-first approach to show tangible value.
• Collaborate with biologists and roboticists to apply software to physical constraints.

Responsibilities

• AI System Architecture: Designing and implementing logic for autonomous systems, maintaining world models, integrating sensing, and real-time loops.
• Infrastructure & Production Engineering: Scalable, secure, and observable cloud deployments with engineering rigor from concept to live launch.
• Rapid Client Prototyping: Demo-first delivery model to actively show tangible value and working software to clients.
• Domain Translation & Integration: Partnering with deep-tech experts to apply software solutions to complex physical constraints.

Skills

AI system architecture

Infrastructure & production eng.

Rapid client prototyping

Domain translation & integration

Applied AI expertise

Core software fluency

Ambiguity tolerance

Cross‑disciplinary communication

Tools

AWS

GCP

Azure

Docker

Kubernetes

NextJS

Pydantic

LangGraph

CrewAI

MCP

OpenTelemetry

Prometheus

Job description

Cambridge Consultants is seeking a high-impact AI/ML Systems Architect to design autonomous, agent-based systems and scalable cloud platforms. You’ll work across sensing, planning, and memory modules while coordinating with biologists, roboticists, and software engineers to deliver production-ready solutions.

The role emphasizes hands-on development in Python/TypeScript, modern DevOps, and cloud tooling, with hybrid work options and Cambridge in-person collaboration for key meetings.