At a Glance
- Tasks: Join clients to uncover AI opportunities and turn ideas into impactful solutions.
- Company: Be part of Avanade, a leading tech company with a focus on innovation.
- Benefits: Enjoy learning opportunities, career progression, and a supportive work culture.
- Other info: Collaborate with experts and grow in a dynamic, inclusive environment.
- Why this job: Make a real difference by shaping AI strategies and solutions for diverse clients.
- Qualifications: Experience in AI solutions and strong communication skills are essential.
The predicted salary is between 74250 - 90750 £ per year.
As a Forward Deployed Engineer at Avanade, you will embed directly with clients to understand their business, processes and priorities, uncover high-value opportunities for AI, and rapidly turn ideas into working solutions. You will combine business acumen, deep technical expertise and a pragmatic consulting approach to help clients move from ambition to measurable outcomes at speed. This is a hands-on, client-facing role at the intersection of AI strategy, solution architecture and engineering.
Role Responsibilities
- Embed with client teams to understand their organisation, business processes, technology landscape and strategic priorities.
- Lead discovery, ideation and design workshops with business and technology stakeholders.
- Identify and assess opportunities where AI, agents and automation can deliver meaningful business value.
- Translate ambiguous business challenges into clear use cases, solution hypotheses and actionable technical requirements.
- Create, structure and prioritise AI opportunity backlogs, balancing value, feasibility, risk and time to impact.
- Develop pragmatic roadmaps, estimates and recommendations that help clients move from experimentation into scaled delivery.
- Architect, build and rapidly iterate AI agents, prototypes and proofs of value using Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio and Power Platform.
- Own solutions from initial concept through technical design, build, demonstration, evaluation and transition into production delivery.
- Apply high-velocity engineering approaches to test assumptions quickly, learn from users and evidence value early.
- Integrate AI solutions with enterprise systems, data sources, APIs and workflows using Microsoft and Azure services.
- Apply strong engineering practices across source control, testing, evaluation, deployment, monitoring, security and operational readiness.
- Ensure solutions are scalable, maintainable and aligned with enterprise architecture, security, responsible AI and governance requirements.
- Help clients establish practical AI governance, delivery structures and ways of working that support responsible experimentation and scale.
- Educate client stakeholders and delivery teams on agentic AI capabilities, limitations, patterns and good engineering practices.
- Facilitate solution demonstrations and playback sessions, using feedback to refine priorities and accelerate adoption.
- Coach client teams so that knowledge and capability are transferred throughout the engagement.
- Build trusted relationships across business and technology teams, communicating technical concepts, trade-offs and value in clear language.
- Support pre-sales activities through discovery, solution shaping, estimation, demonstrations and proof-of-concept development.
- Contribute reusable assets, patterns, accelerators and lessons learned to Avanade's Data & AI communities.
- Stay current with Microsoft's AI roadmap and emerging engineering approaches, translating developments into practical client applications.
- Collaborate with architects, engineers, industry specialists and alliance teams to bring the best of Avanade and Microsoft to clients.
- Mentor colleagues and promote a culture of curiosity, pace, quality and accountable delivery.
Required Skills and Experience
- Hands-on experience architecting and delivering AI-powered solutions using Azure AI Foundry and Azure OpenAI.
- Strong experience building agents and conversational or workflow-based solutions using Microsoft Copilot Studio.
- Experience with Microsoft Power Platform, including integration and automation capabilities relevant to enterprise AI solutions.
- Proven ability to understand business processes, identify opportunities and turn loosely defined problems into working technical solutions.
- Strong software engineering and rapid prototyping capability, with the confidence to architect and build solutions independently.
- Experience leading client workshops, technical discovery sessions, demonstrations and stakeholder playbacks.
- Ability to create and prioritise use-case backlogs, develop estimates and shape pragmatic delivery roadmaps.
- Understanding of agentic AI concepts, LLM solution patterns, prompt engineering, evaluation, grounding and responsible AI controls.
- Experience integrating solutions with enterprise systems, data sources, APIs and workflows.
- Strong client-facing communication skills, with the ability to work across business and technical audiences.
- A self-starting, adaptable and commercially aware mindset, comfortable operating at pace in ambiguous environments.
- Experience working in consulting, professional services, customer engineering or a similarly client-facing technology role.
Preferred Skills and Experience
- Experience with Microsoft Fabric and modern data platform capabilities.
- Experience with Databricks and data engineering or AI workloads.
- Experience with Azure services commonly used in AI solutions, such as Functions, Logic Apps, API Management, AI Search and application hosting services.
- Knowledge of cloud-native engineering, APIs, CI/CD, observability and production support practices.
- Experience establishing AI governance, operating models, delivery structures or Centres of Excellence.
- Experience creating reusable frameworks, accelerators and solution patterns.
- Microsoft Frontier Transformation Engineer (FTE) badge or equivalent recognised credential.
- Completion of Microsoft High Velocity Engineering training or equivalent experience applying high-velocity engineering practices.
- Microsoft certifications in AI, Azure or Power Platform are desirable.
Enjoy your career
- Opportunity to work for Microsoft's Global Alliance Partner of the Year (20 times).
- A minimum of 80 hours per year dedicated to learning, certifications, and professional development.
- Access to global Data & AI communities, accelerators, and subject matter experts.
- The chance to work on complex, high-impact initiatives across AI, data platforms, analytics and automation.
- Clear and supported career progression across Consultant, Associate Manager and Manager levels.
A great place to work
At Avanade, you will gain distinctive experiences, limitless learning, and ambitious growth in return for your skills and ideas. We are committed to building a diverse and inclusive culture where everyone feels a strong sense of belonging and is empowered to do their best work. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well-being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together, we do what matters.
AI Forward Deployed Engineer in London employer: Accenture PLC
Accenture is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its teams. With a strong focus on employee growth, you will have access to extensive training and development opportunities, allowing you to advance your career in the rapidly evolving fields of Data and AI. Located in the UK, Accenture offers a vibrant environment where you can engage with diverse clients and projects, making a meaningful impact while enjoying a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Forward Deployed Engineer in London
✨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 PLC 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 PLC.
✨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 PLC.
✨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 PLC 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 Forward Deployed Engineer in London
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 PLC.
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 PLC 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 PLC
✨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 PLC 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.