Cloud Engineer (with AI experience)

Luxoft; Sydney; On-site; AUD 180,000 - 250,000; Full time

Job summary

Luxoft invites a seasoned AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions for the banking sector in Australia. The role requires cloud-native architectures, multi-agent orchestration, and secure production deployments.

You will work with Python and full-stack capabilities, leveraging AWS tech such as EKS, ECS, Bedrock, SageMaker, Semantic Kernel, LangChain, and LangGraph.

Qualifications

• Total 8-10 years of experience with 3+ years in DevOps, Cloud/SRE, or Infrastructure Engineering.
• Proven ability to deliver Gen AI solutions in enterprise production.
• Strong Python programming and full-stack development experience.
• Hands-on expertise with AWS cloud technologies: EKS/ECS, Bedrock, Semantic Kernel, LangChain, LangGraph, SageMaker.

Responsibilities

• Architect, develop, and deliver Generative AI solutions for enterprise-scale production.
• Implement agent-based architectures and orchestrate multi-agent systems for complex workflows.
• Ensure security, observability, and reliability of deployed AI 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 product, compliance, and business stakeholders to align AI initiatives with organizational goals.
• Contribute to 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.
• Experience in regulated industries with strict compliance requirements.

Skills

Enterprise AI

Cloud Engineering

Python Programming

Full-Stack Development

AI Governance

Stakeholder Engagement

Tools

AWS Cloud

EKS

ECS

Bedrock

SageMaker

Semantic Kernel

LangChain

LangGraph

CI/CD

Job description

Role on behalf of Luxoft Financial Services UK Limited Australia Branch

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
• 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 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.
• Strong 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
• 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.