Sr. AI/ML Architect

As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud, Data and Infrastructure Architecture Portfolio. 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. Exposure and a good understanding of the Data Architecture principles (such as data mesh, knowledge graph, data ontology) is a plus.


Qualifications
Should have a bachelor’s degree in computer science or related field. Master’s degree is preferred or equivalent Desired Experiences
8+ years of progressive hands-on experience in AI/ML application development with 5-6 years of AI/ML 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)
Exposure to large scale ML systems design and deployment
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
Deep understanding of GenAI models (GPT, LLAMA 3+ etc.)
Technical leadership with analytical, problem solving and communication skills
Familiarity with cloud AI/ML platform offerings, features
Applied knowledge of Gen AI. Understanding of AI services for speech, vision, and text.
Machine learning background with algorithms
Expertise in MLOps and DataOps lifecycles and engineering implementation in enterprise
Fluency with Python (AI/ML specific packages, libraries), Spark or R (optional)