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For Companies At a Glance
- Tasks: Design and implement AI solutions, validate use cases, and create reusable assets for customers.
- Company: Join Mendix, a Siemens business, at the forefront of AI and low-code technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping how businesses adopt cutting-edge AI technologies.
- Qualifications: Experience in AI systems design and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
Mendix, a Siemens business, powers hybrid agentic workforces by enabling organizations to build, scale, and orchestrate agents and applications faster by combining low‑code, AI, data, and integrations into a unified platform. The Technical Solutions Marketing team builds technical credibility for Mendix through validated architectures, reusable proof points, and real‑world implementations. In this role, you will work directly with customers and the field to prove high‑value use cases through lighthouse implementations, then package what works into reusable patterns, components, and technical narratives that scale across GTM and delivery ecosystems.
This role sits at the intersection of deep technical work and real business impact, and plays a central part in how Mendix's AI and integration capabilities are proven, packaged, and scaled. You will design and validate the architectures that become the foundation for how customers adopt the platform, how Services delivers at scale, and how GTM tells a credible technical story.
Responsibilities
- Design and implement customer‑facing prototypes and lighthouse implementations to validate high‑value AI and integration use cases.
- Lead strategic workshops and technical deep dives with customers and field teams, especially for agentic AI workflows and complex integrations.
- Turn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns.
- Serve as the deep technical owner for agentic system design, including tool use, orchestration, and multi‑agent patterns.
- Design and maintain complex integration architectures across enterprise platforms and data systems.
- Ground GTM positioning and storytelling in validated technical proof points, supporting high‑impact moments like executive demos and analyst briefings; Lighthouse customer implementations that prove value, de‑risk adoption, and generate validated technical proof points.
- Package assets (patterns, blueprints, components, playbooks) reused across GTM and adopted by Services/partners for repeatable delivery.
- Maintain reliable, scalable demo and workshop environments that consistently showcase complex AI/data/integration scenarios.
- Provide a strong feedback loop into Product and PMM informed by real customer builds.
Qualifications
- Demonstrable, hands‑on experience designing and building agentic AI systems in production‑realistic environments (tool use/function calling, orchestration/planning, multi‑agent patterns where appropriate).
- Strong practical knowledge of LLM application architecture, including retrieval (RAG), grounding, prompt/system design, and structured outputs.
- Experience implementing evaluation and reliability loops (test harnesses, offline/online evals, monitoring, feedback, iteration) and guardrails (safety, policy, data controls).
- Proven ability to integrate agentic workflows with enterprise systems and data (APIs, events, identity, governance) and to design complex integration architectures.
- Strong background in system architecture and end‑to‑end solution delivery (security, scalability, reliability, observability, deployment readiness).
- Experience with enterprise platforms and ecosystems (Siemens stack a plus), data platforms, and modern AI tooling.
- Ability to translate complex technical capabilities into reusable patterns, reference architectures, and clear technical narratives for GTM and customer contexts.
- Strong communication and collaboration skills across Product, GTM, engineering, and customer stakeholders.
- Mendix experience is a plus.
Solutions Engineer (Core AI) employer: Siemens Plc
Contact Detail:
Siemens Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer (Core AI)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and integrations. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to Solutions Engineering. Think about how you can demonstrate your experience with agentic AI systems and complex integrations.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Solutions Engineer (Core AI)
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your hands-on experience with agentic AI systems and integration architectures. We want to see how you've tackled real-world challenges, so don’t hold back on the details!
Tailor Your Application: Customise your application to reflect the specific requirements of the Solutions Engineer role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit in.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application 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!
How to prepare for a job interview at Siemens Plc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of agentic AI systems and integration architectures. Brush up on your knowledge of LLM application architecture, orchestration, and multi-agent patterns. Being able to discuss these topics confidently will show that you’re the right fit for the Solutions Engineer role.
✨Prepare Real-World Examples
Think of specific projects or implementations where you've designed and built AI systems or complex integrations. Be ready to share how you validated high-value use cases and turned them into reusable assets. This will demonstrate your hands-on experience and ability to deliver real business impact.
✨Practice Your Communication Skills
Since this role involves leading workshops and collaborating with various teams, practice explaining complex technical concepts in simple terms. You want to show that you can translate intricate ideas into clear narratives that resonate with both technical and non-technical stakeholders.
✨Show Enthusiasm for Mendix
Familiarise yourself with Mendix’s platform and its capabilities. Express genuine interest in how their low-code solutions can empower businesses. This enthusiasm can set you apart and demonstrate that you’re not just looking for any job, but are specifically excited about contributing to Mendix's mission.