Lead AI​/ML Solutions Architect - Cloud AI

Our client is a premier technology consulting firm specializing in architecting and implementing transformative AI and Machine Learning solutions on cloud platforms. We are seeking an experienced Lead AI/ML Solutions Architect to join our fully remote team. In this critical role, you will guide clients through the complex process of designing, building, and deploying scalable, secure, and high-performance AI/ML systems leveraging leading cloud technologies (AWS, Azure, GCP).

You will be instrumental in defining technical strategies, overseeing solution design, and ensuring successful project delivery. This position offers an unparalleled opportunity to work with diverse clients, tackle challenging architectural problems, and influence the adoption of cloud-based AI across various industries. As a remote-first organization, we provide the flexibility and resources needed to excel from anywhere.

• Lead the design and architecture of end-to-end AI/ML solutions on major cloud platforms (AWS, Azure, GCP).
• Collaborate with clients to understand their business challenges and translate them into technical requirements and robust AI/ML solutions.
• Provide expert guidance on cloud-native AI/ML services, data pipelines, MLOps practices, and security considerations.
• Develop architectural blueprints, technical documentation, and implementation strategies for AI/ML projects.
• Oversee the development and deployment phases, ensuring solutions are scalable, reliable, and cost-effective.
• Evaluate and recommend appropriate AI/ML technologies, tools, and frameworks.
• Mentor and guide junior architects and engineers on best practices for cloud AI/ML.
• Stay current with the latest advancements in cloud computing, AI/ML, and related technologies.
• Present architectural solutions and technical strategies to client stakeholders at all levels.
• Ensure solutions adhere to industry best practices and compliance standards.

• Master's or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 10+ years of experience in software architecture and engineering, with at least 5 years focused on designing and implementing AI/ML solutions.
• Proven expertise in cloud computing platforms (AWS, Azure, GCP) and their native AI/ML services.
• Deep understanding of the AI/ML lifecycle, including data engineering, model development, deployment (MLOps), and monitoring.
• Experience with big data technologies and distributed systems.
• Strong knowledge of various ML algorithms and frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn).
• Excellent communication, presentation, and client-facing skills.
• Proven ability to lead technical teams and influence decision-making.
• Experience with containerization technologies (Docker, Kubernetes) is highly desirable.
• Cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) are a strong plus.

• Highly competitive salary, commensurate with experience and expertise.
• Comprehensive remote work benefits package, including technology and home office stipends.
• Full health, dental, and vision insurance coverage.
• Significant professional development budget for certifications, conferences, and training.
• Opportunity to work on high-impact projects for leading organizations.
• Complete flexibility in working hours and location.
• Access to cutting-edge cloud and AI technologies.
• Collaborative and innovative culture with a global team.
• Company-paid travel for client meetings and team events as needed.