AI Solutions Deployment Lead, Applied AI, Google Cloud in London
AI Solutions Deployment Lead, Applied AI, Google Cloud

AI Solutions Deployment Lead, Applied AI, Google Cloud in London

London Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI solutions deployment across EMEA and APAC, transforming complex challenges into innovative AI solutions.
  • Company: Join Google Cloud, a leader in digital transformation and cutting-edge technology.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Why this job: Shape the future of businesses with AI and work on impactful projects.
  • Qualifications: 10 years in technical roles, experience with AI, LLMs, and programming languages.
  • Other info: Dynamic environment with a focus on innovation and collaboration.

The predicted salary is between 72000 - 108000 £ per year.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in customer-facing technical roles (e.g., solutions architect, forward deployed engineer, or principal consultant).
  • Experience in one or more discipline areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.
  • Experience in Large Language Models (LLMs), prompt engineering, and conversational AI frameworks.
  • Preferred qualifications include experience in a statistical programming language like R or Python and applied machine learning techniques.
  • Experience with conversational AI frameworks (e.g., langchain, agent development kit) and enterprise contact center technologies (e.g., genesys, twilio).
  • Experience with multi-agent architectures and the nuances of cyclic reasoning loops.
  • Proficiency in a major programming language (e.g., Python, Java, or Go).
  • 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 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.

As an AI Solutions Deployment Lead for all EMEA and APAC deployments, you are a high-visibility team multiplier responsible for turning the promise of agentic AI into production reality for Google’s most strategic global customers. You sit at the nexus of product, engineering, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.

In this leadership role, you will serve as the primary Directly Responsible Individual (DRI) for delivery of agentic solutions, leading a group of deployment specialists to implement best practices for delivering at scale and velocity. You will maintain a pulse on the entire portfolio, ensuring you know exactly where the team stands regarding every deployment at any given point. You are a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be leading a group of deployment specialists while simultaneously 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 cutting-edge 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

  • Serve as the primary DRI and central authority for the deployment portfolio across EMEA and APAC, maintaining a real-time pulse on project health for executive leadership.
  • Manage and mentor a group of deployment specialists, implementing standardized delivery frameworks to ensure high-fidelity, production-grade leadership across industry verticals.
  • Advocate foundational architectural frameworks such as agent and pioneer advanced techniques like prompting and cyclic reasoning loops to accelerate time-to-value.
  • Design and implement evaluation pipelines, utilizing gold datasets and automated judge Large Language Model (LLM) frameworks to benchmark latency, accuracy, and brand fidelity.
  • Author and scale technical assets, including architectural patterns, prompt engineering guides, and reusable internal tools to transform bespoke solutions into repeatable global motions.

AI Solutions Deployment Lead, Applied AI, Google Cloud in London employer: Google Inc.

At Google Cloud, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Solutions Deployment Lead in London, you will have the opportunity to mentor a talented team while driving impactful projects that shape the future of AI technology. With a commitment to employee growth and a diverse, inclusive environment, Google Cloud empowers you to thrive both personally and professionally.
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Contact Detail:

Google Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Solutions Deployment Lead, Applied AI, Google Cloud in London

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio or a project that highlights your expertise in AI and machine learning. It’s a great way to demonstrate what you can bring to the table.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI solutions. We all know that confidence is key, so get comfortable talking about your experience!

✨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 proactive!

We think you need these skills to ace AI Solutions Deployment Lead, Applied AI, Google Cloud in London

Machine Learning
Natural Language Processing
Large Language Models (LLMs)
Prompt Engineering
Conversational AI Frameworks
Statistical Programming (R, Python)
Enterprise Contact Center Technologies (Genesys, Twilio)
Multi-Agent Architectures
Cyclic Reasoning Loops
Programming (Python, Java, Go)
Project Management
Cross-Functional Team Leadership
Stakeholder Influence
Architectural Frameworks

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI solutions and customer-facing roles. We want to see how your skills align with the job description, so don’t hold back on showcasing your relevant achievements!

Showcase Technical Skills: Since this role involves a lot of technical know-how, be sure to mention your proficiency in programming languages like Python or R. If you’ve worked with LLMs or conversational AI frameworks, let us know – we love seeing that expertise!

Highlight Leadership Experience: As a lead, you’ll be managing teams and influencing stakeholders. Share examples of how you've successfully led projects or mentored others in your previous roles. We’re looking for those standout moments that demonstrate your leadership skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at Google Inc.

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technical skills mentioned in the job description, especially around machine learning, LLMs, and programming languages like Python. Brush up on your knowledge of conversational AI frameworks and be ready to discuss how you've applied these technologies in real-world scenarios.

✨Showcase Your Leadership Skills

As a potential AI Solutions Deployment Lead, it’s crucial to demonstrate your ability to lead cross-functional teams. Prepare examples of past experiences where you’ve successfully managed projects or mentored others, highlighting your influence on executive stakeholders and your strategic thinking.

✨Understand the Business Impact

Be prepared to discuss how AI solutions can transform businesses. Research Google Cloud’s offerings and think about how you can bridge the gap between AI capabilities and enterprise systems. This will show that you understand not just the tech, but also its application in driving business value.

✨Prepare for Scenario-Based Questions

Expect to face scenario-based questions that assess your problem-solving skills and technical knowledge. Practice articulating your thought process when tackling complex challenges, especially those involving cyclic reasoning loops or multi-agent architectures, as these are key aspects of the role.

AI Solutions Deployment Lead, Applied AI, Google Cloud in London
Google Inc.
Location: London

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