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For Companies At a Glance
- Tasks: Lead AI-driven solutions in Mergers & Acquisitions and enterprise transformations.
- Company: Dynamic tech firm at the forefront of AI and corporate strategy.
- Benefits: Competitive pay, flexible working, and opportunities for career advancement.
- Why this job: Make a real impact on high-stakes M&A decisions with cutting-edge technology.
- Qualifications: 20+ years in tech, strong AI and engineering skills required.
- Other info: Join a collaborative environment with a focus on innovation and growth.
The predicted salary is between 100000 - 150000 £ per year.
We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high-impact AI-driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands-on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production-grade solutions that directly support transaction strategy, value creation, and post-merger integration.
Key Responsibilities
- Client & Stakeholder Engagement
- Act as a trusted technical advisor to C-suite, deal teams, and senior enterprise stakeholders during pre-deal, due diligence, and post-merger integration phases.
- Partner with investment teams, corporate development, and strategy functions to shape AI-led M&A use cases.
- Translate complex business and transaction challenges into concrete technical and architectural solutions.
- Forward Deployment & Solution Delivery
- Lead forward deployment of AI, data, and analytics solutions directly within client environments.
- Design and implement end-to-end solutions covering data ingestion, modeling, orchestration, and deployment.
- Rapidly prototype, iterate, and productionise AI-enabled workflows under tight deal timelines.
- Own solution quality from proof-of-concept through to live production and operational handover.
- AI & Advanced Analytics
- Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as commercial and operational due diligence, synergy identification and value leakage analysis, technology landscape rationalisation, and post-merger performance monitoring and integration tracking.
- Debug, tune, and explain AI model behaviour to both technical and non-technical audiences.
- Architecture & Technical Leadership
- Provide hands-on technical leadership across architecture, engineering standards, and best practices.
- Guide teams on scalable, secure, and compliant system design.
- Influence platform, tooling, and data strategy decisions at an enterprise level.
- Mentor senior engineers and act as a role model for engineering excellence.
Required Experience & Skills
- 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles.
- Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client-facing technical role.
- Strong track record delivering AI-driven solutions in real-world, production environments.
- Demonstrated experience supporting M&A, private equity, corporate development, or large-scale transformation initiatives.
- Deep hands-on expertise with Python and modern data/AI engineering stacks, data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), and machine learning and/or Generative AI workflows.
- Ability to operate effectively in highly ambiguous, fast-moving environments with senior stakeholders.
Commercial & Advisory Skills
- Strong understanding of how technology enables value creation in M&A contexts.
- Experience communicating technical trade-offs, risks, and ROI to executive and investment audiences.
- Comfortable balancing speed, quality, and pragmatism under deal pressure.
Preferred Qualifications
- Experience in consulting, private equity–backed environments, or high-growth technology companies.
- Background in data-intensive platforms, AI products, or decision intelligence systems.
- Exposure to regulated industries (e.g. financial services, insurance, healthcare).
- Prior experience leading multidisciplinary teams across engineering, data science, and product.
What We Offer
- A senior, high-impact role operating at the intersection of technology, AI, and corporate strategy.
- Opportunity to influence mission-critical M&A decisions using cutting-edge AI and data solutions.
- Competitive compensation and benefits package.
- Long-term career growth in a technically ambitious, client-focused environment.
- London-based role with flexible working arrangements.
Forward Deployed Engineer ( AI) in London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer ( AI) in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research the company and its recent M&A activities. We want to see you confidently discuss how your experience aligns with their needs and how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed Engineer ( AI) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your experience in AI, M&A, and any relevant technical skills that match the job description. We want to see how you can bring value to our team!
Showcase Your Experience: Don’t just list your past roles; tell us about specific projects where you’ve delivered AI-driven solutions. Use metrics to demonstrate your impact, especially in high-pressure environments. We love seeing real-world examples of your work!
Be Clear and Concise: When writing your application, keep it straightforward. Avoid jargon unless it’s necessary, and make sure your key points stand out. We appreciate clarity and want to quickly understand how you fit into our vision.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Experis
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI technologies and data engineering stacks. Brush up on your Python skills and be ready to discuss how you've applied machine learning in real-world scenarios, especially in M&A contexts.
✨Understand the Business Side
Since this role involves translating business objectives into technical solutions, it’s crucial to understand how technology drives value in M&A. Prepare examples of how you've communicated technical trade-offs and ROI to executive stakeholders.
✨Showcase Your Leadership Skills
As a senior technologist, you’ll need to demonstrate your ability to lead teams and mentor others. Be ready to share experiences where you’ve influenced architectural decisions or guided teams through complex projects.
✨Prepare for Real-World Scenarios
Expect scenario-based questions that test your problem-solving skills under pressure. Think about past projects where you had to rapidly prototype and deliver solutions, and be prepared to discuss the challenges you faced and how you overcame them.