We're looking for someone who can form solid, long-term connections with clients throughout the project life cycle and even after it's completed! You'll be the initial point of contact for the allocated clients, ensuring we extend the best of our services to them.
Roles and Responsibilities
1. Collaborate with cloud consultants and OEM partners to design and implement scalable AI solutions using technologies from Cloud providers like Google Cloud and AWS.
2. Analyze, document, and optimize solution architectures; create Statements of Work (SoWs); guide clients and teams through AI transformation journeys on Cloud.
3. Communicate with clients to understand requirements and turn them into technical AI solutions.
4. Contribute to our Cloud community and share knowledge.
5. Demonstrate expertise in computer vision, NLP, conversational AI, Large Language Models, and MLOps, including understanding ML architecture and lifecycle.
6. Build enterprise-scale solution architectures considering ethics, security, and compliance; ensure data protection and privacy.
7. Work with internal teams to develop best practices, methodologies, and thought leadership.
8. Participate in internal networks and special interest groups.
9. Provide architectural leadership and technical guidance to development teams.
10. Develop scalable architectures for clients' AI transformation, considering complex ecosystems.
11. Have hands-on experience with Google AI and Data Products like BigQuery, Document AI, CCAI, Dialogflow, Vertex AI, etc., or similar products on other clouds.
12. Establish processes and controls for managing the lifecycle of digital and AI systems.
13. Deploy infrastructure on Cloud platforms using containerization (Kubernetes, Docker) and maintain CI/CD pipelines.
Qualifications
While education is important, practical experience matters more. Ideally, candidates will have:
* 10+ years in solution design and architecture, with 6+ years delivering complex AI or Data Analytics projects on Cloud platforms like Google or AWS.
* Experience with statistical programming languages (e.g., R, Python) and applied AI techniques (computer vision, deep learning, NLP, LLMs).
* System design experience, especially in ML Operations platforms.
* Ability to translate business problems into innovative AI solutions.
* Strong collaboration skills, especially in client environments on data-driven projects.
* Proven success working with multi-geographical teams and excellent communication skills.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering, Consulting, Customer Service
Industries
* Business Consulting, IT Services, Software Development
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