At a Glance
- Tasks: Design and deploy cutting-edge AI-native solutions for enterprise clients.
- Company: Join a forward-thinking company leading the AI-native innovation wave.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to work across various industries.
- Why this job: Shape the future of AI in real-world applications and make a tangible impact.
- Qualifications: Experience in cloud-native systems and designing agentic solutions is essential.
The predicted salary is between 70000 - 90000 £ per year.
We are a forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
You are an AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.
The Work:
- You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor.
- You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.
- Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
- Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
- Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
- Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
- Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
- Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
- Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
Here’s What You Need:
- Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
- Experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines.
- Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm).
- Strong experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
- Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience.
Bonus Points If You Have:
- Relevant AI certifications or agentic tooling experience are a plus.
- You’ve served as an Agentic / AI Engineer in an enterprise environment.
- You’ve built multi-agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
- You have additional AI certifications or experience with agentic tooling and frameworks.
- You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
- You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
- You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
- Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.
AI Native Software Engineer in Slough employer: Accenture UK & Ireland
As a forward-thinking services company at the forefront of AI-native innovation, we pride ourselves on fostering a collaborative and dynamic work culture that empowers our engineers to thrive. Our commitment to employee growth is evident through hands-on experience with cutting-edge technologies and direct engagement with enterprise clients, allowing you to shape the future of AI engineering while enjoying a flexible work environment that values creativity and initiative.
Contact Details:
Accenture UK & Ireland Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in Slough
✨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 UK & Ireland 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 UK & Ireland.
✨Tap into Online Developer Communities
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We think you need these skills to ace AI Native Software Engineer in Slough
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 UK & Ireland.
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 UK & Ireland 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 UK & Ireland
✨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 UK & Ireland 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.
