AI engineer in security operations

We are looking for an AI Engineer to develop and optimise AI agents and LLM-powered applications that will help advance Accenture’s Security Operations Centre (SOC) capabilities. Working closely with security engineers and SOC analysts, you will design, build and operationalise AI-powered workflows that integrate with security tooling and help accelerate threat detection and response. You’ll bring strong AI engineering expertise, with hands-on experience building production-ready LLM applications, agentic workflows and RAG solutions.

• Configure, evaluate and tune large language models for security use cases, including prompt engineering, system prompt design, retrieval-augmented generation (RAG) and tool/function calling.
• Design, build and maintain AI agents and agentic workflows using platforms such as Azure AI Foundry, integrating with security toolsets such as SOAR, SIEM and EDR.
• Implement safeguards to protect against adversarial inputs, including prompt injection and jailbreaks, ensuring AI systems meet robust security standards.
• Architect AI solutions that are modular, maintainable and built to scale, following secure development principles.
• Implement solutions in line with our AI governance framework, covering areas such as data handling, audit logging, human-in-the-loop controls and regulatory compliance.
• Monitor and optimise LLM API usage and infrastructure costs, implementing strategies such as caching, model tiering and guardrails to ensure solutions are economically viable.
• Work closely with key stakeholders, security engineers and SOC analysts to understand operational challenges, prototype solutions and iterate based on feedback.
• Produce clear technical documentation to support the effective ongoing management of developed capabilities.

• 2+ years of experience within AI/ML engineering.
• Hands-on experience building and deploying AI agents or LLM-powered applications in production environments, including appropriate observability and evaluation mechanisms.
• Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar.
• Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/function calling.
• Experience implementing RAG pipelines end-to-end, including data ingestion, chunking strategies, embedding model selection and retrieval tuning.
• Experience implementing parsing pipelines for tasks such as document processing and ingestion, including handling unstructured data.
• Knowledge of AI security risks, including familiarity with the OWASP LLM Top 10, and an understanding of how these risks can be mitigated.
• Experience working within enterprise governance frameworks.
• Proficiency in one or more programming languages, such as Python, and familiarity with common AI/ML libraries.
• Ability to build custom tools that can interact with, or be exposed to, LLMs.
• Strong understanding of REST APIs, with the ability to integrate AI solutions with third-party platforms and internal tooling.
• A collaborative and engaging approach to problem-solving, with a willingness to work as part of a wider team.
• Self-motivated, results-focused and pragmatic, with the ability to manage competing priorities and deadlines.
• Someone who values diversity and recognises the innovation and competitive advantage that comes from diverse, highly skilled teams where equal opportunities are genuinely valued.
• Будет плюсом: Previous experience within cyber security or security operations; Knowledge of enterprise security tooling such as SOAR, SIEM and EDR; Experience applying AI to security operations, threat detection or incident response; Experience deploying infrastructure-as-code

• Competitive salary and package (Depending on level of experience)
• Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.