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For Companies At a Glance
- Tasks: Lead the deployment of our AI OS, ensuring rapid integration and value delivery.
- Company: Join Stelia, a pioneering tech company reshaping the future with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in enterprise solutions.
- Qualifications: Proficient in Python, with experience in AI and data infrastructure.
- Other info: Dynamic team environment focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Your mission As a Forward Deployed Engineer (FDE), you are 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.
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.
About Us At Stelia, we are building the AI Operating System for a distributed, intelligent world. Our mission is to dismantle the boundaries between humanity and technology by creating an Enterprise AI designed for trust, resilience, and scale.
Forward Deployed Engineer employer: Stelia
Contact Detail:
Stelia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at a company you admire. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you would approach deploying an AI solution in a real-world setting. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Tailor your application to highlight your Speed to Value mindset and technical prowess, and let’s get the conversation started!
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your proficiency in Python and any experience with AI orchestration. We want to see how you can apply your technical know-how to real-world problems, so don’t hold back on showcasing your coding skills!
Communicate Clearly: Remember, we need someone who can bridge the gap between tech and non-tech folks. Use clear, straightforward language in your application to demonstrate your ability to translate complex concepts into actionable insights. This will show us you’re a great fit for our team!
Focus on Speed to Value: In your application, emphasise your understanding of the 'Speed to Value' mindset. Share examples of how you've accelerated deployment processes or delivered quick wins in past projects. We love seeing candidates who prioritise pragmatic delivery!
Tailor Your Application: Take the time to customise your application for this role. Mention specific experiences that align with the responsibilities listed in the job description. We appreciate when candidates take the effort to connect their background with what we’re looking for!
How to prepare for a job interview at Stelia
✨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 Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex integration challenges. Highlight your ability to bridge gaps between different systems and how you prioritise pragmatic delivery over theoretical perfection. This will show your potential employer that you can deliver real value quickly.
✨Communicate Clearly and Effectively
You’ll need to translate complex concepts into actionable plans for various stakeholders. Practice explaining your past projects in simple terms, focusing on the outcomes and how you achieved them. This will demonstrate your strong technical communication skills.
✨Show Ownership and Initiative
Employers want to see that you take full responsibility for your work. Prepare to discuss times when you identified issues during deployments and took the initiative to resolve them. This will highlight your proactive approach and commitment to customer success.
