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Senior AI Engineer (AWS) in Sydney, New South Wales at Cevo Services

NewEmployment Type: Full-Time
Cevo Services
Sydney, New South Wales, Australia
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Job Description

Senior AI Engineer
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 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.
About the Opportunity
Cevo is looking for a Senior AI Engineer who can design, build and deploy production-grade AI solutions across multiple industries including financial services, energy, and government.
You’ll work directly with enterprise clients to take AI initiatives from concept to production, delivering systems that are secure, governed, explainable and value‑driven.
If you enjoy moving between strategy, architecture, hands‑on development and deployment and want exposure to a wide range of problems, industries and technologies, this role offers that variety every day.
What You’ll Do
1. Agentic & Generative AI System Design
  • Design RAG pipelines using embedding models and vector databases
  • Build multi-agent systems with orchestration frameworks
  • Create LLM-powered assistants integrated into enterprise workflows
  • Develop evaluation frameworks for hallucination risk and reasoning quality
  • Build prompt frameworks, tool-calling logic, and structured response pipelines
2. AWS-Native AI Development
  • Work with Amazon Bedrock (models, guardrails, agents)
  • Use Amazon SageMaker (training, fine-tuning, endpoints, pipelines)
  • Build embedding pipelines and vector retrieval services
  • Implement monitoring & lifecycle management
  • Contribute to reusable accelerators and internal tooling
3. AI/MLOps, FinOps & Observability
  • Model, prompt and embedding performance monitoring
  • Drift detection and audit trails
  • Telemetry for LLM prompts and responses
  • Cost and latency optimisation
  • Documentation, reproducibility and versioning
4. Responsible & Governed AI
  • Embed explainability and transparency
  • Conduct bias and fairness testing
  • Design human‑in‑the‑loop controls
  • Implement guardrails and content filtering
  • Align with APRA, ASIC, CPS 230/234 regulatory standards
5. Stakeholder & Client Collaboration
  • Define value and success metrics with product teams
  • Present complex AI outputs in executive-ready language
  • Mentor junior team members
  • Work with cloud and security architecture teams
Required Experience
  • 5–8+ years Data Science or ML
  • 2+ years GenAI (LLMs, RAG, agents, tuning, evaluation)
  • Demonstrated ability to deliver production-grade AI systems
  • Strong Python and SQL
  • Experience deploying models into production
  • Understanding of APIs and AI services
  • Strong communication and client-facing skills
Highly Desirable
  • Bedrock Agents
  • SageMaker Pipelines
  • Vector DBs
  • Graph RAG
  • Agent orchestration
  • Regulated industry experience
  • Model risk management experience
  • Experience building AI platforms or assistants

Job Location

Sydney, New South Wales, Australia

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