Overview
Direct message the job poster from Unisys
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 skills are required.
Responsibilities
- 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, 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.
Qualifications
- Should have a bachelor’s degree in Computer Science or related field. Master’s degree is preferred or equivalent.
- 10+ 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 and features; understanding of AI services for speech, vision and text; machine learning algorithms; expertise in MLOps and dataops lifecycles and engineering implementation in enterprise; ability to code in Python, Spark or R.
Employment type
Seniority level
Job function
Industries
- Technology, Information and Media
IsExpired: false