Senior Forward Deployed Engineer, Google Cloud Public Sector

Senior Forward Deployed Engineer, Google Cloud Public Sector

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead the development of complex AI applications and architect solutions for clients.
  • Company: Join Google Cloud, a leader in digital transformation and AI innovation.
  • Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on cutting-edge AI solutions.
  • Why this job: Make a real impact by bridging AI technology with client operations.
  • Qualifications: 5 years of software development experience and a degree in a related field.

The predicted salary is between 70000 - 90000 £ per year.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience with software development using Python or similar coding languages.
  • Experience taking production‑grade AI‑driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG‑like architectures to power enterprise AI solutions.
  • Experience leading technical discovery sessions with customers.
  • Active, or the ability to obtain, a Security Check (SC) UK security clearance.

Preferred qualifications:

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi‑agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self‑reflection, hierarchical delegation).
  • Experience in a post‑sales or technical consulting delivery function.
  • Knowledge of LLM‑native metrics (e.g., tokens/sec, cost‑per‑request) and techniques for optimizing state management and granular tracing.

About the job:

As an AI Forward Deployed Engineer (FDE) at the company Cloud, you will be the technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You will be an embedded builder who bridges the gap between frontier AI products and production‑grade reality within customers. Unlike traditional advisory roles, you will function as a builder‑consultant, moving beyond high‑level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high‑agency engineers with a founder’s mindset. You will manage blocker to production including solving the integration complexities, data readiness issues, and state‑management challenges that prevent AI from reaching enterprise‑grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real‑world field insights into the company Cloud’s future product roadmap.

The company Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage the company’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to the company Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities:

  • Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, MCP servers) that drive measurable Return on Investment (ROI).
  • Architect and code the connective tissue between the company’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Build high‑performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and technical friction points in the company’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co‑build with customer engineering teams to instill the company‑grade development best practices, ensuring long‑term project success and high end‑user adoption.

The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Senior Forward Deployed Engineer, Google Cloud Public Sector employer: United States Digital Space LLC

As a Senior Forward Deployed Engineer at Google Cloud Public Sector, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. The company offers exceptional employee growth opportunities through hands-on experience with cutting-edge AI technologies, while also providing a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, you will have access to a wealth of resources and networking opportunities, making it an ideal place for those looking to make a meaningful impact in the field of AI.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Forward Deployed Engineer, Google Cloud Public Sector

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We think you need these skills to ace Senior Forward Deployed Engineer, Google Cloud Public Sector

Python
AI-driven solutions
Cloud platforms (e.g., GCP)
Data pipelines for structured and unstructured data
Vector databases
RAG-like architectures
Technical discovery sessions

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 United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC

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 United States Digital Space LLC 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.