At a Glance
- Tasks: Build and tune AI workflows, collaborating with security experts to enhance cyber operations.
- Company: Join Accenture, a leader in innovative tech solutions with a focus on security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on security, governance, and collaboration.
- Why this job: Make a real impact in cybersecurity using cutting-edge AI technologies.
- Qualifications: 2+ years in AI/ML engineering and hands-on experience with AI applications.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this AI Engineer role, you will advance Accenture’s SOC capabilities by building and tuning AI-powered workflows and LLM-based applications.
You will collaborate with security engineers and SOC analysts to deploy production-ready solutions that integrate with existing tooling.
The position focuses on scalable, secure AI designs, governance, and cost-aware deployment in a security-sensitive environment.
This is a hands-on, impact-focused role shaping defensive cyber operations with cutting-edge AI.
Responsibilities
- Configure, evaluate and tune LLMs for security use cases (prompt engineering, system prompts, RAG, tool calls)
- Design, build and maintain AI agents and agentic workflows with platforms like Azure AI Foundry, integrating with SOAR/SIEM/EDR
- Implement safeguards against adversarial inputs and ensure robust security standards
- Architect modular, scalable AI solutions following secure development principles
- Align implementations with AI governance framework (data handling, audit logging, human-in-the-loop, compliance)
- Monitor and optimize LLM API usage and infrastructure costs (caching, tiering, guardrails)
- Collaborate with security engineers and SOC analysts to prototype and iterate
- Produce clear technical documentation for ongoing management
- Key requirements
- 2+ years in AI/ML engineering
- Hands-on experience building and deploying AI agents or LLM-powered apps in production with observability and evaluation
- Experience with enterprise AI platforms (Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar)
- Solid understanding of LLM concepts and vector databases (context windows, temperature, prompts, tool calls)
- Experience implementing end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval tuning)
- Experience parsing and ingesting unstructured data into pipelines
- Knowledge of AI security risks including OWASP LLM Top 10 and mitigations
- Experience working within enterprise governance frameworks
- Proficiency in Python and familiarity with AI/ML libraries
- Ability to build tools that interface with LLMs and use REST APIs for integration
- Strong focus on security, governance and compliance
- collaborative problem-solving
- self-motivated and pragmatic
- ability to manage competing priorities
- Azure AI Foundry
- AWS Bedrock
- Google Vertex AI
AI Engineer in Newcastle upon Tyne employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Newcastle upon Tyne
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Accenture or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Accenture.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Accenture.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Accenture that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Accenture.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Accenture
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Accenture uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
