Senior AI Engineer - AWS for Enterprise AI

Cevo Australia; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Cevo Australia is seeking an Senior AI Engineer / Forward Deployed Engineer to embed with enterprise clients across financial services, energy and government to deliver production-grade AI solutions and iterate rapidly until value is delivered.

You’ll design and build agentic AI systems using Anthropic and AWS, implement RAG pipelines, multi-agent orchestration, and integrate with Bedrock and SageMaker, deploying end-to-end AI systems with a focus on explainability and client outcomes.

Qualifications

• 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.

Responsibilities

• Embed with enterprise clients to define business outcomes, success metrics and deliver rapid prototypes.
• 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.

Skills

Python

SQL

GenAI

LLMs

APIs

Client-facing

Tools

Amazon Bedrock

SageMaker

Vector DBs

RAG pipelines

Job description

Cevo Australia is seeking an Senior AI Engineer / Forward Deployed Engineer to embed with enterprise clients across financial services, energy and government to deliver production-grade AI solutions and iterate rapidly until value is delivered.

You’ll design and build agentic AI systems using Anthropic and AWS, implement RAG pipelines, multi-agent orchestration, and integrate with Bedrock and SageMaker, deploying end-to-end AI systems with a focus on explainability and client outcomes.