Staff AI Engineer

Location: Remote
Salary: 100-110k/annum (DOE) 

Role Overview

We are seeking a Staff AI Engineer to design, build, and scale production-grade ML, Generative AI, and Agentic AI systems within our business domain.

Embedded within the Enterprise Data Office, you will be the senior hands-on technical leader translating complex business problems into secure, scalable, and cost-efficient AI solutions on AWS and Databricks.

This is a deeply technical role focused on engineering excellence, operational resilience, and measurable business impact.

Key Responsibilities

• Architect and implement end-to-end AI systems (RAG, vector search, real-time and asynchronous inference).

• Productionize multi-agent workflows and Foundation Model integrations.

• Lead MLOps, LLMOps, and AgentOps practices (CI/CD, evaluation, monitoring, drift detection).

• Build secure, GPU-optimized, cloud-native AI platforms using Terraform, Docker, and Kubernetes.

• Ensure AI security by design (private endpoints, PII redaction, least-privilege IAM).

• Optimize cost-performance trade-offs across proprietary and open-source models.

• Lead technical design reviews and mentor engineers in AI-native development practices.

Experience

• Expert in AWS and Databricks AI architectures.

• Strong experience with RAG, large-scale inference, and distributed systems.

• Hands-on MLOps/LLMOps in production environments.

• 5+ years experience building scalable, secure AI services in enterprise settings.

• Strong communicator able to articulate engineering trade-offs clearly.