Senior AI Engineer (FDE)

Cevo helps organisations build the capability for continuous evolution, turning transformation from a one-off program into a lasting ability to adapt, innovate and deliver better outcomes. As an Australian-owned, born in the cloud, AWS Premier Consulting Partner, we design and deliver modern cloud platforms, unlock data for insight and apply AI where it creates real value, while empowering teams so capability and impact extend well beyond each engagement. With onshore teams across Australia, we’ve partnered with more than 200 organisations across start-ups, commercial, enterprise and government.

Senior AI Engineer / Forward Deployed Engineer

Cevo is looking for an AI Engineer/ Forward Deployed Engineer (FDE) who sits at the intersection of consulting, cloud architecture, software engineering and AI delivery. This is not a traditional project role. You will embed directly with enterprise clients across financial services, energy and government to understand their business outcomes, build production-grade AI solutions and iterate rapidly until real value is delivered.

What You'll Do

• Embed with enterprise clients to define business outcomes, success metrics and deliver rapid prototypes, compressing discovery-to-build cycles into weeks • Design and build agentic AI systems using Anthropic and AWS: RAG pipelines, multi-agent orchestration, LLM-powered assistants, prompt frameworks and evaluation pipelines for hallucination and reasoning quality • Work hands-on with Amazon Bedrock and SageMaker for model development, fine-tuning, vector retrieval and lifecycle management • Deploy production AI solutions end-to-end, integrating into enterprise platforms (CRMs, ERPs, data lakes) without handing off to another team • Build responsible AI by design: explainability, bias testing, human-in-the-loop controls and compliance with APRA, ASIC and CPS 230/234

Required Experience

• 5–8+ years in software engineering, data science and ML • 2+ years hands-on GenAI development: LLMs, RAG, agents, evaluation • Demonstrated ability to deliver production-grade AI systems, end to end • Strong Python and SQL • Strong experience with Amazon Bedrock and Bedrock Agents • Experience deploying ML models into production • Understanding of APIs and AI services across the AWS ecosystem • Strong communication and client-facing skills

Highly Desirable

• Experience in a Forward Deployed, embedded consulting or solutions engineering capacity • SageMaker Pipelines • Vector databases and Graph RAG • Agent orchestration frameworks • Regulated industry experience (financial services, energy, government) • Model risk management experience • Experience building AI platforms, assistants or internal tooling