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

AI Solutions Deployment Lead, Applied AI, Google Cloud

Full-Time 43200 - 72000 £ / 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 work culture, and opportunities for professional growth.
  • Why this job: Shape the future of businesses with AI and make a real impact on global customers.
  • Qualifications: 10 years in technical roles, experience with AI, LLMs, and programming languages like Python.
  • Other info: Dynamic environment with a focus on innovation and collaboration.

The predicted salary is between 43200 - 72000 £ 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 employer: Google Inc.

As an AI Solutions Deployment Lead at Google Cloud in London, you will be part of a dynamic and innovative team that is at the forefront of transforming businesses through cutting-edge technology. Google fosters a collaborative work culture that prioritises employee growth, offering extensive mentorship and opportunities to lead impactful projects across EMEA and APAC. With a commitment to diversity and inclusion, Google provides a supportive environment where every employee can thrive and contribute to meaningful solutions that shape the future of industries worldwide.
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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

✨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 GitHub repo showcasing your projects, especially those related to AI and machine learning. It’s a great way to demonstrate your expertise beyond the written word.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to AI solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining an innovative team at Google Cloud!

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

Customer-Facing Technical Experience
Machine Learning
Natural Language Processing
Large Language Models (LLMs)
Prompt Engineering
Conversational AI Frameworks
Statistical Programming (R, Python)
Enterprise Contact Center Technologies
Multi-Agent Architectures
Cyclic Reasoning Loops
Programming Proficiency (Python, Java, Go)
Cross-Functional Team Leadership
Project Management
Architectural Frameworks
Technical Asset Authoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience in AI, machine learning, and any relevant programming languages like Python or R. We want to see how you can bridge the gap between LLM capabilities and enterprise systems!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your background makes you the perfect fit for this role. Don’t forget to mention your experience leading cross-functional teams and influencing stakeholders.

Showcase Your Technical Skills: Since this role involves a lot of technical know-how, be sure to include specific examples of your work with conversational AI frameworks and large language models. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about 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 conversational AI frameworks. Brush up on your Python or R skills, and be ready to discuss how you've applied these 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 teams or projects, highlighting your influence on executive stakeholders and how you navigated complex challenges.

✨Understand Google Cloud's Vision

Familiarise yourself with Google Cloud’s mission and how they help businesses transform. Be prepared to discuss how your role as an AI Solutions Deployment Lead can contribute to this vision, and think about innovative ideas you could bring to the table.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving abilities and technical knowledge. Practice articulating your thought process when faced with challenges related to deployment, architecture, or customer engagement, ensuring you can clearly explain your reasoning and decision-making.

AI Solutions Deployment Lead, Applied AI, Google Cloud
Google Inc.

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