Description

You will lead architectural decisions for the Cloud, Data, and Infrastructure Architecture Portfolio, implementing AI/ML solutions within cloud environments using industry best practices.

Responsibilities

• Lead architectural decisions for the Cloud, Data, and Infrastructure Architecture Portfolio.
• Implement AI/ML solutions within cloud environments using industry best practices.
• Apply enterprise AI/ML adoption patterns, security standards, and architectures.
• Manage stakeholder, customer, and vendor relationships to align with defined objectives.
• Communicate complex technical ideas through written content, visual concepts, and presentations.

Required Skills

• 8+ years of hands-on experience in AI/ML application development.
• 5-6 years of experience in AI/ML solution architecture and systems engineering.
• 5+ years of experience working with AWS or Azure.
• Proven track record of deploying machine learning solutions and AI services into production.
• Expertise in MLOps and DataOps lifecycle engineering for enterprise environments.
• Applied knowledge of Generative AI and AI services for speech, vision, and text.
• Proficiency in Python, Spark, or R.
• Bachelor's degree.

Preferred Skills

• Experience with multi-cloud environments including GCP.
• Knowledge of micro-services architectures and cloud data migration.
• AWS Professional Certification relevant to AI/ML and familiarity with TOGAF.

Key Skills

Education

Bachelor's degree