AI & ML Engineer (Cybersecurity)
Role Overview
Develop and optimize AI agents and LLM-powered applications to mature Accenture Security Operation Centre offerings.
Work with security engineers and SOC analysts to build AI workflows integrated with security tooling and accelerate detection and response.
Apply engineering rigor and a security-first mindset to defensive cyber operations.
Key Skills for This Role
Full Job Posting
Role overview
Develop and optimize AI agents and LLM-powered applications to mature Accenture Security Operation Centre offerings.
Work with security engineers and SOC analysts to build AI workflows integrated with security tooling and accelerate detection and response.
Apply engineering rigor and a security-first mindset to defensive cyber operations.
Location and working arrangement
- The role is based in Cheltenham and requires office attendance twice a month, with hybrid working.
Compensation
- Competitive salary and package, depending on level of experience; no salary cadence or amount is specified.
Responsibilities
- Configure, evaluate and tune LLMs for security use cases, including prompt design, RAG and tool/function calling.
- Build and maintain AI agents and workflows integrated with SOAR, SIEM and EDR tooling.
- Protect AI systems against adversarial inputs, prompt injection and jailbreaks; apply secure architecture and development principles.
- Implement governance for data handling, audit logging, human-in-the-loop controls and regulatory compliance.
- Optimize LLM API and infrastructure costs through caching, model tiering and guardrails.
- Collaborate with stakeholders to prototype and refine solutions, and document capabilities for ongoing management.
Required experience and skills
- At least 2 years of AI/ML engineering experience.
- Production experience building and deploying AI agents or LLM applications, with observability and evaluation mechanisms.
- Experience with an enterprise AI platform such as Azure AI Foundry, AWS Bedrock or Google Vertex AI.
- Strong LLM and vector database knowledge, including context windows, sampling, system prompts and tool/function calling.
- End-to-end RAG and document parsing pipeline experience, including unstructured data.
- Knowledge of AI security risks and mitigations, and experience with enterprise governance frameworks.
- Programming proficiency in one or more languages, such as Python; familiarity with AI/ML libraries and REST APIs.
Additional qualifications
- Infrastructure-as-code experience and knowledge of SOAR, SIEM or EDR are advantageous.
- Collaborative problem-solving, self-motivation, pragmatism and ability to manage competing deadlines are sought.
Security clearance
- Any offer is subject to satisfactory BPSS and SC security clearance. The posting states this requires five years of continuous UK address history at application.
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