AI + Cloud Engineer

Luxoft Financial Services UK Limited (Australia); Sydney; On-site; AUD 150,000 - 230,000; Full time

Job summary

Luxoft Financial Services UK Limited (Australia) in Sydney seeks an experienced AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions. You will implement multi-agent orchestration, secure production deployments, and ensure governance and compliance.

The role emphasizes DevOps, CI/CD, and full-stack development with Python, AWS, Bedrock, and LangChain, serving banking use cases such as fraud detection and personalized customer experiences.

Qualifications

• Total 8-10 years of experience in AI/cloud engineering.
• At least 3+ years in DevOps, cloud engineering, SRE, or infrastructure engineering.
• Strong Python programming and full-stack development experience.

Responsibilities

• Architect, develop, and deliver Generative AI solutions in production environments.
• Implement agent-based architectures and orchestrate multi-agent systems for complex workflows.
• Ensure security, observability, and reliability; align AI initiatives with stakeholders.

Skills

AI engineer

Cloud engineering

DevOps

Python

Security

Governance

Education

Bachelor's degree (relevant field)

Tools

AWS

Bedrock

Semantic Kernel

LangChain

LangGraph

SageMaker

HuggingFace

EKS/ECS

Job description

Luxoft Financial Services UK Limited (Australia) – Sydney NSW

Job Type: Permanent position | Full time position

Job Description

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 productionenvironments.

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. Must have 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

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.