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.

• 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.

• 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

• 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 life cycles 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.

• 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.

• Mid‑Senior level

• Full‑time

• Other

• Software Development