Senior Secure AI Engineer | Cloud & AI Security

Accenture Global; Melbourne; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Parental leave (18 weeks)

Career breaks

Career development program

International career opportunities

Family Inclusive Workplace

Flexible work arrangements

Job summary

Accenture in Melbourne is seeking a Secure AI Senior Engineer to deliver hands-on consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients and teammates to define secure, usable outcomes and contribute to design reviews, implementation support, and technical assessments.

The role offers opportunities to deepen skills in AI development, security, cloud platforms, and secure-by-design delivery while collaborating

Qualifications

• Around 4+ years of experience in software engineering, ML engineering, data science, cloud engineering, security engineering, or technical consulting.
• Experience building, reviewing, or supporting modern applications or cloud-based systems (AWS, Azure, or Google Cloud).
• Familiarity with secure development practices and common security concepts across AI, applications, infrastructure, and integrations.
• Exposure to AI, ML, Generative AI, Agentic AI, or AI-assisted development use cases.
• Familiarity with application security review, threat modelling, IAM, API security, or workload security.
• Exposure to CI/CD, infrastructure as code, containerised workloads, or Kubernetes.
• Awareness of common security or risk frameworks such as NIST, ISO 27001, CIS, MAESTRO, or similar.
• Strong written and verbal communication skills.
• A practical, team-oriented approach to solving problems and delivering outcomes.

Responsibilities

• Support the delivery of secure AI and application security engagements for enterprise and government clients.
• Contribute to reviews of AI-enabled applications, workflows, platforms, and integrations.
• Assist in identifying risks across models, prompts, data flows, APIs, cloud services, and supporting systems.
• Help define practical recommendations to improve security, governance, and delivery controls.
• Build or configure technical controls, patterns, and supporting artefacts for secure AI implementations.
• Produce clear, high-quality client deliverables, including technical products, findings, recommendations, implementation guidance, and supporting documentation.
• Work with client stakeholders to understand their environment, priorities, and constraints.
• Contribute to reusable templates, reference patterns, and internal capability uplift across the Secure AI team.
• Collaborate across CyberCX practices where engagements span cloud, identity, application security, data, or governance domains.

Skills

Software engineering

ML engineering

Data science

Cloud engineering

Security engineering

Technical consulting

Tools

AWS

Azure

Google Cloud

CI/CD pipelines

Infrastructure as Code

Kubernetes

Job description

Accenture in Melbourne is seeking a Secure AI Senior Engineer to deliver hands-on consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients and teammates to define secure, usable outcomes and contribute to design reviews, implementation support, and technical assessments.

The role offers opportunities to deepen skills in AI development, security, cloud platforms, and secure-by-design delivery while collaborating