At a Glance
- Tasks: Lead AI solution pursuits and drive innovation in ERP, EAM, and FSM.
- Company: Join a leading tech firm with a focus on AI and collaboration.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment that values inclusivity and community.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Expertise in ERP, EAM, or FSM with strong presentation and teamwork skills.
The predicted salary is between 75600 - 92400 £ per year.
As an AI Solution Architect, you are part of the industry’s most formidable solution engineering force. You work across the IFS AI portfolio, applying deep domain expertise within ERP, EAM, or FSM to win strategic deals, elevate presales performance, and drive go-to-market innovation across regions and market units.
You are a senior technical specialist and trusted advisor who leads high-impact strategic pursuits at the intersection of the AI portfolio and your domain. You bring the AI solution set to life in the language of ERP, EAM, and FSM buyers, shaping solution engineering tactics, raising the quality bar across presales, and enabling key talent across market units in the core business. You collaborate broadly across Sales, Marketing, R&D, and GTM functions to strengthen execution and accelerate innovation.
In short: this role is about representing and developing our AI market leadership through the presales function, grounded in real industry and domain depth.
Key Responsibilities
- Lead from the front in qualified, high-impact AI pursuits by applying solution, AI portfolio, and industry depth, tailoring demonstrations and delivering proof-of-value engagements that drive customer confidence.
- Set the quality bar and avoid scope creep, ensuring technical win pursuit excellence across the pipeline.
- Act as the connective tissue between the AI portfolio and your domain (ERP, EAM, and/or FSM).
- Provide insight-based guidance to shape marketing campaigns, sales plays, messaging, roadmap priorities, and competitive positioning for the AI portfolio within your domain.
- Strengthen presales execution through key content creation, storytelling, reusable asset development, mentoring, and setting the example in delivery excellence.
- Drive evolution in our AI go-to-market model through cross-functional collaboration, industry-specific sales plays, and field innovation.
Subject Matter Expertise
- ERP-centric: Deep understanding of enterprise resource planning processes, market dynamics, and the competitive landscape.
- EAM-centric: Deep understanding of enterprise asset management (EAM), APM, and AIP market dynamics.
- FSM-centric: Deep understanding of field service software market dynamics, including products, competitors, customers, and partners.
- Multi-domain: Several architects will operate credibly across two or more of these disciplines.
Success Metrics
- Contribution to AI portfolio revenue targets in partnership with sales leadership.
- Measurable improvement in presales readiness and win rates on qualified opportunities.
- Quality and reuse of solution assets, demonstrations, and proof-of-value engagements.
- Field-sensed product feedback that fuels future AI portfolio innovation.
Qualifications
- Self-Starter and Fast Learner: Thrives in a high-paced, dynamic business environment. Learns quickly and adapts with agility.
- Subject Matter Expertise: Deep domain credibility in ERP, EAM, and/or FSM, combined with genuine fluency in applied AI.
- Strong Team Player: Acts as both player and coach. Builds community, shares knowledge, and mentors rising talent across geographies.
- Presentation and Demonstration Skills: Skilled in delivering both software demonstrations and executive-level presentations, with the ability to tailor delivery to varied audiences.
- Technical Skills: Solid grasp of business and IT architecture; capable of assessing customer technology landscapes in the context of AI-led business transformation.
- Global Readiness: Fluent in English, with additional language skills seen as an advantage. Willingness to travel internationally and work flexible hours to support global engagements is essential.
- Interpersonal Skills: Creative, curious, and persuasive communicator, capable of influencing direction across technical and non-technical stakeholders at all levels.
- AI-first worker: Working “AI-first”, applying AI techniques to become both more efficient in everyday work, and more effective in customer engagements.
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
AI Solution Architect - ERP London, England, United Kingdom Pre-Sales employer: Industrial and Financial Systems
Industrial and Financial Systems is an excellent employer, offering a dynamic work culture that prioritises collaboration and innovation in the heart of Greater London. Employees benefit from competitive salaries, flexible paid time off, and ample opportunities for professional growth, making it an ideal environment for those looking to make a meaningful impact in AI deployment.
Contact Details:
Industrial and Financial Systems Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - ERP London, England, United Kingdom Pre-Sales
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace AI Solution Architect - ERP London, England, United Kingdom Pre-Sales
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 Industrial and Financial Systems.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Industrial and Financial Systems 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 Industrial and Financial Systems
✨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 Industrial and Financial Systems 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.
