Customer Engineer (UK)
Core Focus: Google Cloud Platform (GCP) Expertise
- Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures.
- GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings.
- Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions.
- GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API).
- Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager.
- Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI/ML infrastructure.
- Data Handling: Big data analytics, warehousing, and ETL/ELT processes, with a focus on leveraging data for AI/ML.
- Network & Security: Comprehensive understanding of cloud networking and security principles, including security best practices for AI/ML workloads.
- Database Management: Experience with SQL and NoSQL databases, including database solutions for AI/ML applications (e.g.,vector databases).
- Experience with enterprise architecture frameworks and methodologies.
- Customer Engagement:
- Partner with sales teams to identify and qualify business opportunities and understand key customer technical objections, with a focus on Generative AI opportunities.
- Develop strategies to overcome technical blockers and drive solution adoption, specifically for Generative AI solutions.
- Build and maintain strong relationships with key technical stakeholders and executive leaders at customer organizations, with an emphasis on understanding their Generative AI needs.
- Solution Design & Architecture:
- Analyze customer business and technical requirements to design comprehensive solutions that address their needs, with a focus on Generative AI use cases.
- Develop and present solution architectures, including diagrams, documentation, and best practices, with a focus on integrating Generative AI components.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement solutions, including Generative AI solutions.
- Technical Leadership:
- Provide deep technical expertise to support customer engagements, including technology advocacy, product and solution briefings, and proofs-of-concept, with a focus on Google Cloud's Generative AI capabilities.
- Guide customers through assessments of their existing environments and provide recommendations for modernization and optimization, including incorporating Generative AI.
- Stay up-to-date on industry trends and emerging technologies, especially in Generative AI, and drive innovation and best practices.
- Collaboration:
- Work closely with product management and engineering teams to prioritize customer needs and influence product development, including requirements for Generative AI products and services.
- Collaborate with internal teams and partners to ensure successful solution delivery and customer satisfaction, including Generative AI solutions.
- Share knowledge and best practices with the broader team and contribute to the development of internal tools and processes, including those related to Generative AI.
- Pre-sales Support
- Participate in the technical aspects of Request for Proposals (RFPs), including those involving Generative AI solutions.
- Conduct product demonstrations and prototypes in customer environments, showcasing Google Cloud's Generative AI offerings.
- Experience in writing Statements of Work (SOWs) that clearly define project scope, deliverables, and timelines.
Qualifications
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience preferred.
- 3 + years of experience in a customer-facing technical role, such as solutions architect, sales engineer, or consultant.
- Strong understanding of cloud computing concepts, platforms, and services (preferably Google Cloud).
- Scripting: Proficiency in Python, Go, or Bash for automation.
- Problem-Solving: Strong troubleshooting and diagnostic abilities.
- Communication: Clear communication of complex technical information.
- Customer Service: Effective interaction and support for clients.
- DevOps Practices: Familiarity with DevOps principles and tools.
- Experience in migrating applications and services to cloud platforms.
- Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers, and firewalls.
- Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing.
- Excellent presentation, communication, and interpersonal skills.
- Ability to travel to customer sites as needed.
- Medical, Dental, Vision
- PTO
- Pension
- Professional Development
- Macbook Laptop
- Remote work flexibility
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