About the Role
Our client, Dogwood Management Partners, a certified SDVOSB, is seeking an AI Architect for an important client located on-site in New York, NY. This full-time role offers a competitive salary, plus excellent benefits, based on experience. All candidates will be subject to a complete background check.
Responsibilities
- Strategic Planning: Develop and communicate a comprehensive AI strategy that aligns with the overall business objectives and vision.
- Architecture and Design: Design and implement scalable and secure AI architectures on Google Cloud Platform, leveraging a combination of cloud services and best practices.
- Solution Development: Lead the design and development of AI solutions that address specific business challenges, utilizing Google Cloud Platform AI services such as Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
- Data Management: Collaborate with data engineers and data scientists to ensure that data is properly structured, cleansed, and prepared for AI model training.
- Model Training and Deployment: Oversee the training and deployment of AI models on Google Cloud Platform, ensuring high performance, accuracy, and reliability.
- Integration and Automation: Integrate AI solutions with existing systems and processes to automate workflows and improve efficiency.
- Performance Monitoring: Continuously monitor and evaluate AI models in production, identifying and addressing performance bottlenecks and opportunities for optimization.
- Collaboration and Communication: Collaborate effectively with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to ensure successful implementation and adoption of AI solutions.
- Thought Leadership: Stay up-to-date with the latest advancements in AI and Google Cloud Platform AI services, and contribute to the development of industry best practices and standards.
Requirements
- Master's degree or equivalent experience in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 10 years of experience in AI and machine learning, with a strong focus on cloud-based solutions.
- Proven experience in designing and implementing scalable and secure AI architectures on Google Cloud Platform.
- Expertise in AI algorithms, including supervised and unsupervised learning, deep learning, and natural language processing.
- Strong programming skills in Python and proficiency with cloud-based AI frameworks and libraries.
- Familiarity with Google Cloud Platform data management tools and services, such as BigQuery, Cloud Storage, and Cloud Dataflow.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Passion for AI and its potential to solve real-world problems using Google Cloud Platform technologies.
Skills & Certifications
- Google Cloud Platform Certification
- Artificial Intelligence
- Machine Learning