AI/ML Architect

As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud, and Data Enterprise Portfolios. You must have a deep understanding of technical architecture and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI/ML adoption, security, architectures, and patterns. Experience with micro-services architectures and cloud migration for data is a plus. Technical experience with multi-cloud environments (AWS, Azure, GCP) is a plus. Strong interpersonal communications skill is required. THE IMPACT YOU WILL MAKE Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations Provide recommendations to clients with respect to AI/ML implementations and prepare technical implementation roadmaps for adoption Create application architecture, data architecture, deployment architectures, functional design specifications and assist with other project deliverables as needed. Design state-of-the-art AI/ML solutions that address customers’ requirements for function, scalability, reliability, security, and performance Collaborate with other project teams and other laterals such as Information Security, Compliance, Controls etc. on architectural solutions. Qualifications Should have a bachelor’s degree in Computer Science or related field. Master’s degree is preferred or equivalent 15+ years of progressive hands‑on experience in application development with 5-6 years of solution architecture, systems architecture and engineering, analysis and applications programming in AI related discipline. Technical team leadership role is preferred A minimum of 5 years’ experience in working with a cloud provider (AWS or Azure) Experience with Architecture principles and TOGAF framework is a plus AI/ML relevant AWS Professional Certification is preferred Required Skills Proven track record of implementing machine learning solutions, AI services and statistical analysis related projects in production Technical leadership with analytical, problem solving and communication skills Familiarity with cloud AI/ML platform offerings, features Understanding of AI services for speech, vision and text. Machine learning background with algorithms Expertise in MLOps and data ops lifecycles and engineering implementation in enterprise Ability to code in Python, Spark or R as a programming language Strong ability in communicating in writing or verbally, copywriting, planning and distributing communication, etc. Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas. Working with people with different functional expertise respectfully and cooperatively to work towards a common goal. Soft Skills Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict. Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand. Experience identifying and selecting strategic options, and identifying resources to meet the defined objectives Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationships. Seniority level Mid‑Senior level Employment type Full‑time Job function Other Industries Software Development #J-18808-Ljbffr