Senior AI Solutions Architect

Our client, a global leader in intelligent automation and AI-driven solutions, is seeking a highly experienced Senior AI Solutions Architect to join their dynamic, fully remote technical team. This crucial role involves designing and architecting sophisticated AI and machine learning solutions for enterprise clients, ensuring scalability, reliability, and optimal performance. You will work closely with clients to understand their business needs, translate them into technical requirements, and guide the development and implementation of AI strategies. The ideal candidate possesses a strong blend of technical expertise in AI/ML, cloud architecture, and a proven ability to architect end-to-end solutions.

Key Responsibilities

Design and architect scalable, robust, and secure AI/ML solutions using cloud-native technologies and services. Collaborate with clients and internal teams to define solution requirements, scope, and technical approach. Translate complex business problems into detailed technical designs and implementation plans. Evaluate and recommend appropriate AI/ML algorithms, tools, and platforms for various use cases. Provide technical leadership and guidance throughout the entire solution lifecycle, from proof-of-concept to production deployment. Develop comprehensive technical documentation, including architecture diagrams, design specifications, and deployment guides. Identify and mitigate technical risks and challenges associated with AI solution implementation. Stay current with the latest advancements in AI, machine learning, data science, and cloud computing. Work with data engineers and ML engineers to ensure effective data pipelines and model integration. Contribute to the development of best practices and standards for AI solution architecture within the organization. Present technical solutions and recommendations to clients and stakeholders. Mentor junior architects and engineers.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Minimum of 8 years of experience in software architecture, with a significant focus on designing and implementing AI/ML solutions. Extensive experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Deep understanding of various machine learning models, algorithms, and techniques (e.g., deep learning, NLP, computer vision, predictive analytics). Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks (e.g., Spark) and MLOps principles. Strong understanding of system design, scalability, performance optimization, and security best practices. Excellent communication, presentation, and stakeholder management skills. Ability to translate business requirements into effective technical solutions. Proven track record of successfully architecting and delivering complex enterprise-level solutions. Experience with containerization technologies (e.g., Docker, Kubernetes) is desirable.

This is a challenging and rewarding role for a seasoned architect looking to make a significant impact by shaping the AI strategies of leading organizations, all within a flexible remote work setup.