AI Architect/Manager

Job Summary:
- We are seeking an experienced and visionary AI Architect/Manager to lead our artificial intelligence and machine learning initiatives. - In this dual leadership role, you will be responsible for defining the AI strategy and architecture while also managing and mentoring a team of data scientists and AI engineers. - You will bridge the gap between business problems and technological solutions, driving the development and deployment of cutting-edge AI products and services.

**Key Responsibilities:** - - Define and drive the overall AI strategy, architecture, and roadmap for the organization. - - Lead and manage a team of data scientists, ML engineers, and AI developers. - - Design and oversee the implementation of end-to-end AI solutions, including data pipelines, model development, and MLOps. - - Evaluate and select appropriate AI technologies, frameworks, and platforms. - - Collaborate with business stakeholders to identify opportunities for AI-driven innovation and value creation. - - Ensure the ethical and responsible development and deployment of AI models. - - Manage project priorities, budgets, and timelines for AI initiatives.   
 
**Required Qualifications:** - - Master's or Ph.D. - in Computer Science, AI, Machine Learning, or a related field. - - 8+ years of experience in AI/ML, with at least 3 years in a leadership and architectural capacity. - - Deep expertise in machine learning, deep learning, natural language processing, and computer vision. - - Strong experience with cloud platforms (AWS, Azure, GCP) and their AI services. - - Proven track record of leading and delivering AI projects from concept to production. - - Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch).   
 
**Preferred Qualifications:** - - Experience with generative AI, LLMs, and RAG architectures. - - Experience with MLOps and deploying models in production. - - Experience in a specific industry (e.g., FinTech, Healthcare, E-commerce).   
 
**Key Competencies:** - - Strategic Leadership: Ability to define and execute a long-term AI strategy. - - Team Management: Strong ability to lead, mentor, and grow high-performing teams. - - Technical Acumen: Deep understanding of AI technologies and their applications. - - Communication: Excellent communication skills to bridge technical and business perspectives.