Security Engineer

Skillfield; City of Melbourne; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Impactful work

Autonomy culture

Flexible & recognition

Job summary

Skillfield, a specialist technology consultancy at the intersection of cyber, data and AI, seeks a Lead Security Engineer in Melbourne to design secure, AI-driven solutions for enterprise clients. You will translate complex AI capabilities into clear security designs, guide architecture choices, and ensure governance and enterprise standards are built in from the ground up.

This 1-year contract role involves collaboration with stakeholders, prototyping security patterns, and delivering practical

Qualifications

• Design secure AI/ML solutions in cloud environments.
• Implement governance and policy-as-code (OPA) frameworks.
• Hands-on with LLMs, RAG, and prompts.
• Translate AI concepts for non-technical audiences.
• Experience in enterprise or regulated settings.

Responsibilities

• Design AI-enabled security solutions balancing business, tech, and security needs.
• Develop solution specifications aligned to enterprise standards and security frameworks.
• Evaluate AI tools and architectures for security posture and cost.

Skills

Cloud security

AI/ML security

DevSecOps

Threat modeling

Communication

Tools

AWS

Azure

GCP

OPA policy-as-code

Job description

Skillfield is a specialist technology consultancy operating at the intersection of cyber, data and AI. We partner with enterprise clients to protect, transform and empower their organisations with forward‑thinking solutions. Our reputation is built on outcomes, not effort.

The Opportunity

Contract: 1 year, with potential to extend

Hybrid, Melbourne

We are looking for a Lead Security Engineer to design and guide secure, AI driven solutions that deliver practical business value. This role bridges business needs and technical delivery, shaping how AI is applied across client environments - with security, governance and enterprise standards built in from the ground up.

You will work closely with stakeholders, BAs and engineering teams to translate complex AI capabilities into clear, security solution designs. You will also provide direction on platform choices, architecture patterns and emerging technologies, while supporting teams throughout delivery.

What you'll do

• Design AI-enabled solutions balancing business, technical, and security requirements
• Develop solution specifications aligned to enterprise standards and security frameworks
• Weigh trade-offs across performance, scalability, security and cost, and make a call

Prototyping & Evaluation

• Rapidly test AI tools, platforms and patterns — including their security posture — and bring evidence, not opinion, to the recommendation
• Track emerging AI capabilities and risks, including agent-based architectures

Advisory & Delivery

• Translate complex AI and security concepts for technical and non-technical audiences alike
• Work alongside business and delivery teams so solutions are both feasible and secure
• Be the go-to person for solution clarification and escalation during delivery

Governance & Risk

• Apply responsible AI principles (fairness, explainability, privacy by design) in production, not just on paper
• Identify AI‑specific security risks — model, data, identity exposure — and propose mitigations that actually ship
• Contribute to design reviews and keep solutions aligned to architecture and governance standards

Planning & Costing

• Build cost estimates across model usage, infrastructure and operations
• Assess how design changes ripple into security posture and delivery timelines
• Feed into the broader AI technology and security roadmap

What you’ll bring

• Experience designing secure AI/ML solutions in cloud environments (AWS preferred; Azure/GCP awareness fine)
• A security architecture background — governance, policy-as-code (e.g. OPA), DevSecOps, ideally in a large or regulated enterprise
• Hands‑on work with LLMs, RAG, prompt design and orchestration patterns
• A practical grip on AI/agentic security — identity, access control, data isolation, model risk
• Comfort operating within existing enterprise architecture standards, working alongside a Lead Architect — this isn't a role for someone who only wants to set their own rules
• Strong prototyping instincts, with the discipline to turn findings into clear architectural decisions
• Working knowledge of responsible AI principles in real systems

Why this role

• Genuine design authority on how AI gets secured across client environments — not a downstream implementer role
• Work alongside an established Lead Architect and governance function, not from scratch
• Direct line of sight into cutting‑edge AI security problems most architects don't get near yet

Benefits

• Be part of a team serious about doing work that matters
• Join a culture that values clarity, autonomy and shared success
• Enjoy flexibility, support and performance‑based recognition

Ready to make a measurable impact?