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Accenture

Advises businesses and runs their technology

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeUnited KingdomNo salary listed

About the Job

Requirements

  • At least 2 years of experience in 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 end-to-end retrieval-augmented generation pipelines, 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 understanding 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 and ability to integrate AI solutions with third-party platforms and internal tooling.
  • A collaborative approach to problem-solving and willingness to work as part of a wider team.
  • Ability to manage competing priorities and deadlines.

Responsibilities

  • Configure, evaluate, and tune large language models for security use cases, including prompt engineering, system prompt design, retrieval-augmented generation, 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 against adversarial inputs, including prompt injection and jailbreaks, ensuring AI systems meet robust security standards.
  • Architect modular, maintainable, scalable AI solutions following secure development principles.
  • Implement solutions in line with the AI governance framework, including data handling, audit logging, human-in-the-loop controls, and regulatory compliance.
  • Monitor and optimise LLM API usage and infrastructure costs, applying strategies such as caching, model tiering, and guardrails.
  • Work with stakeholders, security engineers, and SOC analysts to understand operational challenges, prototype solutions, and iterate based on feedback.
  • Produce technical documentation to support ongoing management of developed capabilities.

Desired Qualifications

  • Previous experience in 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.
  • Self-motivated, results-focused, pragmatic approach.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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