Senior Secure AI Engineer – Cloud & App Security

Accenture Global; Brisbane; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Career development program

Local and international career opps.

Flexible Work Arrangements

Job summary

Accenture is seeking a Secure AI Senior Engineer to support hands-on consulting and engineering across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients to review designs, implement security controls, and uplift governance for secure AI deployments.

The role involves building technical artefacts, delivering high-quality client outcomes, and collaborating with architects and engineers to broaden skills in AI security and cloud platforms.

Qualifications

• 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 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 security or risk frameworks such as NIST, ISO 27001, CIS, MAESTRO, or similar.
• Ability to investigate technical issues, structure findings, and communicate clearly.
• 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

Secure AI

ML engineering

Data science

Cloud engineering

Security engineering

Technical consulting

AI development

Tools

AWS

Azure

Google Cloud

Kubernetes

Job description

Accenture is seeking a Secure AI Senior Engineer to support hands-on consulting and engineering across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients to review designs, implement security controls, and uplift governance for secure AI deployments.

The role involves building technical artefacts, delivering high-quality client outcomes, and collaborating with architects and engineers to broaden skills in AI security and cloud platforms.