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For Companies At a Glance
- Tasks: Lead AI OS deployment and integration for enterprise success.
- Company: Innovative tech firm focused on AI solutions.
- Benefits: Competitive salary, flexible hours, remote work, and growth opportunities.
- Why this job: Make a real impact by transforming businesses with cutting-edge AI technology.
- Qualifications: Proficient in Python, SQL, and familiar with cloud technologies.
- Other info: Dynamic role with a focus on practical solutions and customer success.
The predicted salary is between 36000 - 60000 £ per year.
Your mission as a Forward Deployed Engineer (FDE) is to be the architect of our customers' technical success. You will lead the deployment and integration of our AI OS into the heart of enterprise infrastructures to deliver tangible business value at scale. Your primary metric of success is Speed to Value: the velocity at which you can move from initial engagement to robust, functional enterprise AI deployment at scale.
Key Responsibilities
- Accelerate Deployment Velocity: Lead the end-to-end technical delivery of our AI Operating System for customers, prioritising the fastest path from initial data ingestion to production-grade deployment.
- Bridge the Integration Gap: Design and build robust connections between our distributed AI architecture and the customer’s existing data stack, legacy systems, and cloud infrastructure.
- Solution Architecture: Act as a hands-on engineer and consultant, rapidly developing functional prototypes and workflows that demonstrate the power of our AI OS against specific business use cases.
- System Hardening: Work with the engineering teams to transition successful prototypes into resilient, scalable solutions by applying high engineering standards to high-velocity deployments.
- Feedback Loop: Partner with our Product Engineering and R&D teams to turn field-level challenges into core platform features, reducing friction for all future deployments.
Your profile
The Speed to Value Mindset
- Technical Communication: You can translate complex distributed systems concepts into clear, actionable roadmaps for both technical and non-technical stakeholders.
- Pragmatic Delivery: Through a business outcome focus, you identify the 20% of engineering work that delivers 80% of the customer value. You prefer functional, reliable solutions that deliver value over theoretical perfection.
- Ownership & Agency: You take full responsibility for the customer's technical success. You identify and build solutions to keep the deployment moving.
Technical Requirements
- Core Engineering: Proficiency in Python. You are comfortable writing, debugging, and optimising code.
- AI Assisted coding: You have hands-on experience using AI to accelerate software development and can confidently manage the risks while realising benefits in cost and speed.
- AI & Logic Implementation: Practical experience with AI orchestration (e.g., RAG architectures, knowledge graphs, agentic frameworks, or LLM-based reasoning systems).
- Data Infrastructure: Solid grasp of SQL and experience navigating enterprise data pipelines (e.g., Snowflake, Databricks). You understand how to handle 'messy' real-world data at scale.
- DevOps & Cloud: Familiarity with Docker, Kubernetes, and at least one major cloud provider (AWS, Azure, or GCP).
- Distributed Systems: An interest in or experience with high-performance networking, disaggregated computing, or decentralised workloads.
Forward Deployed Engineer in London employer: Saunders Scott
Contact Detail:
Saunders Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're eyeing. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and deployment. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to Forward Deployed Engineering. Think about how you can demonstrate your Speed to Value mindset during discussions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your proficiency in Python and any experience with AI-assisted coding. We want to see how you can translate complex concepts into practical solutions, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take the time to customise your application for the Forward Deployed Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This helps us see how you fit right into our team!
Demonstrate Your Pragmatic Approach: We love candidates who focus on delivering value over perfection. Share examples of how you've identified key engineering tasks that drive significant outcomes. Show us your Speed to Value mindset in action!
Apply Through Our Website: Don’t forget 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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Saunders Scott
✨Know Your Tech Inside Out
As a Forward Deployed Engineer, you'll need to showcase your technical prowess. Brush up on Python, SQL, and any relevant AI orchestration tools. Be ready to discuss how you've used these skills in past projects, especially in deploying solutions at scale.
✨Demonstrate Your Pragmatic Approach
Employ the 80/20 rule in your responses. Highlight how you focus on delivering functional, reliable solutions that provide real value. Share examples where you identified key engineering tasks that led to significant customer outcomes.
✨Communicate Clearly and Effectively
You’ll be translating complex concepts for various stakeholders. Practice explaining your past projects in simple terms, ensuring both technical and non-technical audiences can grasp your contributions and the value they brought.
✨Show Ownership and Initiative
Be prepared to discuss times when you took full responsibility for a project's success. Share specific instances where you identified challenges and proactively built solutions to keep deployments on track, demonstrating your commitment to customer success.
