Project Description:

- We are seeking a highly skilled AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions. This role requires deep expertise in cloud-native architectures, multi-agent orchestration, and secure production deployments.
- The ideal candidate will combine strong programming skills with hands-on experience across modern AI frameworks and cloud platforms, while ensuring compliance, observability, and ethical AI practices.

Responsibilities:

- • Architect, develop, and deliver Generative AI solutions in enterprise-scale production
- environments.
- • Implement agent-based architectures and orchestrate multi-agent systems for complex
- workflows.
- • Ensure application security, observability, and reliability across all deployed solutions.
- • Build and maintain full-stack applications with robust automated unit and regression testing.
- • Leverage enterprise-grade DevOps practices and CI/CD pipelines for scalable AI deployments.
- • Collaborate with cross-functional teams, including product, compliance, and business stakeholders, to align AI initiatives with organizational goals.
- • Contribute to the development and enforcement of AI governance, compliance, and ethical frameworks, including security guardrails.
- • Deliver AI-driven solutions tailored to the banking domain,



with applications in fraud detection, customer personalization, and conversational AI.

Mandatory Skills:

- AWS Cloud Practitioner
- Python

Mandatory Skills Description:

- • Total 8-10 years of experience. 3+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering.
- • Proven ability to deliver Gen AI solutions in enterprise production environments.
- • Robust programming skills in Python and experience with full-stack development.
- • Hands-on expertise with the following AI and cloud technologies:
- AWS Cloud
- - EKS / ECS
- - Bedrock
- - Semantic Kernel
- - LangChain
- - LangGraph
- - HuggingFace
- - SageMaker
- • Deep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.
- • Experience deploying AI solutions using enterprise-grade DevOps and CI/CD pipelines.
- • Familiarity with AI governance, compliance, and ethical AI frameworks.
- • Strong communication skills with the ability to engage and influence stakeholders at all levels.
- • Background in delivering solutions within the banking sector.
- • Exposure to fraud detection, customer personalization, or conversational AI applications.
- • Experience working in highly regulated industries with strict compliance requirements.

📌 AI + Cloud Engineer (Sydney)
🏢 Luxoft
📍 Sydney