CyberCX - Engineer (FDE) - Secure AI

Technology, Data & Digital · IT Infrastructure & Security · Cybersecurity · Machine Learning · Software Engineering

In short

Accenture seeks a Secure AI Engineer to support the delivery of consulting and engineering services in Secure AI, AI-enabled applications, and cloud environments. This role involves working with clients to adopt AI securely, contributing to technical assessments, and collaborating with experienced teams to deepen skills in AI development, security, and cloud platforms.

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.

Requirements

Around 2+ 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.
Familiarity with secure development practices and common security concepts across AI, applications, infrastructure, and integrations.
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.

Desired Qualifications

Exposure to AI, ML, Generative AI, Agentic AI, or AI-assisted development use cases.
Experience with AWS, Azure, or Google Cloud.
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.

Benefits

18 weeks paid parental leave
Long & short-term career break opportunities
Structured career development program
Local and international career opportunities
Certified as a Family Inclusive Workplace™
Flexible Work Arrangements
Recognized in the top 3 of last year’s Diversity & Inclusion Index
Comprehensive training covering business acumen, technical and professional skills development.
Opportunities to hone functional skills and expertise in an area of specialization.
Variety of formal and informal training programs at every level.
Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates.
Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.

Skills

AIMachine LearningCloudApplication SecurityAWSAzureGoogle CloudCI/CDKubernetesNISTISO 27001CIS

#cybersecurity#AI#Secure AI#Cloud Security#Application Security#Engineering

About Accenture

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