At a Glance
- Tasks: Lead AI solutions deployment and transform complex business challenges into innovative tech solutions.
- Company: Join Google Cloud's dynamic team, shaping the future of businesses globally.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact on global enterprises.
- Qualifications: 8 years in technical roles, coding experience, and strong problem-solving skills required.
The predicted salary is between 72000 - 88000 £ per year.
Minimum qualifications
- Bachelor's degree in Computer Science or equivalent practical experience.
- 8 years of experience in customer-facing technical roles (e. g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
- Experience coding in one or more general purpose languages (e. g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
- Experience with large language models (LLMs), prompt development, and conversational AI frameworks.
Preferred qualifications
- Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
- Experience in technical consulting, navigating the governance, security, and procurement complexities.
- Experience in technical consulting, navigating the governance, security, and procurement complexities.
- Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e. g., Salesforce, SAP).
- Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure.
As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
Cloud Applied AI (AAI) powers business growth with Gemini Enterprise.
Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions.
We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility.
As an AI Solutions Deployment Manager, you will be technical solutions consultant across multiple customer deployments, and a high-visibility team multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers.
You will sit at the connection of product, development, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.
In this role, you will contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity.
You will be a builder, a strategic systems thinker, and a master of navigating technical and business challenges.
You will be working with a group of deployment specialists, incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.
- Stress-test features to influence product roadmaps and implement evaluation frameworks.
- Pioneer architectural frameworks and authors reusable technical assets.
- Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.
AI Solutions Deployment Manager, Cloud Applied AI in London employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Deployment Manager, Cloud Applied AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Google or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Google.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Google.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Google that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Solutions Deployment Manager, Cloud Applied AI in London
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 Google.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Google 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 Google
✨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 Google 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.
