AI Architect

Role Overview: As an AI Architect at our company, your main responsibility will be to scope out, design, and oversee the architecture of AI and machine learning solutions across products and platforms for our clients. You will collaborate with team members to translate business requirements into AI-enabled solutions at different stages, such as Roadmap, Proof of Value, Full Implementation, or Managed Service support capability and service offering. Additionally, you will assist in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies. Your role will also involve creating reusable and scalable AI models and pipelines for our clients to ensure performance, reliability, and security. Furthermore, you will be responsible for developing and enforcing best practices for model governance, MLOps, and responsible AI, as well as evaluating and integrating third-party AI services and APIs when needed. Staying current with AI trends and emerging technologies, such as LLMs and edge AI, to drive innovation will also be a key aspect of your role. Key Responsibilities: - Scope out, design, and oversee the architecture of AI and machine learning solutions for clients - Translate business requirements into AI-enabled solutions at various stages - Select appropriate tools, frameworks, and technologies for AI development in Google (GCP) cloud - Create reusable and scalable AI models and pipelines for clients - Develop and enforce best practices for model governance, MLOps, and responsible AI - Evaluate and integrate third-party AI services and APIs - Stay current with AI trends and emerging technologies Qualifications Required: - Bachelor's or Masters degree in Computer Science, Data Science, AI, or related field - 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles - Strong proficiency in machine learning, deep learning, data engineering, and distributed systems - Experience with Google cloud-based AI platforms such as Google Vertex AI - Proficiency in Python and experience with ML libraries - Solid understanding of AI data governance, model explainability, and ethical AI principles - Excellent communication skills to work with technical and non-technical stakeholders - Demonstrated experience delivering scalable AI projects that drive business value (Note: The additional details of the company were not present in the provided job description),