Lead AI Systems Architect

Job description

What youll do

• Architect and deliver AI systems endtoend Recommend and develop comprehensive systems and frameworks for AI applications and products balancing speed to value with reliability and maintainability
• Shape cloud architecture for complex AI platforms Contribute to designing and implementing cloud architecture for large multifaceted AI systems compute storage security deployment monitoring
• Enable robust data foundations Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvements
• Operationalize AI via services and APIs Define specifications for lowlatency APIsservices that deploy models and integrate AI into enterprise applications
• Build monitoring and reliability into production Develop code and approaches for monitoring models and AI systems to ensure consistent performance accuracy and reliability in production
• Driving engineering excellence Participate in principled agilelike development practices ensure peer review for all assigned work and conduct reviews for others as needed
• Document with production discipline Create and maintain thorough documentation aligned with team procedures SDLC expectations and corporate policies

Preferred Skills

• Experience building AI solutions using cloud platforms and services eg Azure AI services or similar in a highly regulated environment healthcare experience preferred
• Experience successfully productionizing AI models including scalable pipelines and robust monitoring systems
• Strong background developing deep learning models using modern frameworks eg TensorFlow PyTorch MLX
• Experience with software design patterns microservices distributed systems and container orchestration
• Knowledge of ethical AI practices explainability fairness bias mitigation and applying them in real solutions
• Experience implementing advanced LLM solution patterns eg retrievalaugmented generation and structured reasoning approaches and setting team best practices through reviews and standards

Knowledge Skills and Abilities

• Proven experience developing deep learning architectures eg transformers CNNs GANs LSTMs GNNs autoencoders diffusion models NODEs
• Proven ability to debug and optimize AI systems including performance analysis and tuning approaches
• Strong software engineering skills and the ability to build secure stable systems at scale
• Expertise in AI system design and deployment patterns pipelines lowlatency services monitoring
• Strong communication and stakeholder influenceable to explain technical tradeoffs clearly to nontechnical audiences
• Mentorship and leadership mindset with a commitment to knowledge sharing and raising team capability

Skills

Mandatory Skills : Azure AI, Python

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No