Gen AI Architect

The Gen AI Architect plays a crucial role in shaping and leading the architecture, development, and deployment of next-generation AI applications within the organization. This role is pivotal in driving the company's objectives by leveraging advanced machine learning models, robust data engineering pipelines, and cloud-native infrastructure to deliver scalable, high-quality solutions. The architect will be at the forefront of technology innovation, ensuring alignment with strategic goals.

DETAILED RESPONSIBILITIES

* Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure.
* Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions.
* Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence.
* Make critical architectural decisions to optimize performance, scalability, and reliability of systems.
* Collaborate with stakeholders to align technological solutions with business objectives.
* Stay updated with emerging technologies and industry best practices to ensure continuous improvement.

SKILL REQUIREMENTS

* Hands-on experience in Google Cloud Platform, Data Engineering, or DevOps is highly advantageous.
* Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams.
* Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.
* Strong programming skills in Python, JavaScript, Java, or other backend languages.
* Experience with API development (RESTful APIs, GraphQL).
* Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy.
* Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills.
* Familiarity with industry best practices and emerging technologies in AI and machine learning.

Skill or Category
Evaluation Focus
Software Engineering Experience
Hands-on experience in software engineering, including leadership roles
System Architecture Design
Designing complex systems integrating GenAI, APIs, and cloud infrastructure
Programming Skills
Proficiency in Python, JavaScript, Java, or other backend languages
API Development
Experience in developing RESTful APIs and GraphQL
Machine Learning Models
Building and deploying ML models using TensorFlow, PyTorch, scikit-learn, spaCy
Leadership and Team Management
Managing cross-functional teams with problem-solving and communication skills
Cloud Infrastructure
Development of cloud-native applications
Emerging Technologies
Staying updated with industry best practices and emerging AI technologies
Google Cloud Platform and Data Engineering
Hands-on experience in Google Cloud Platform and data engineering
DevOps
Experience with DevOps practices and tools