AI Architect

Cloudious LLC; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Cloudious LLC seeks an experienced AI Architect to design and deliver end-to-end AI systems in a regulated environment. You will shape cloud architecture for complex AI platforms, enable robust data pipelines, and operationalize AI via scalable APIs and enterprise integrations.

You will drive engineering excellence through rigorous reviews, documentation, and secure, low-latency deployments, mentoring teammates and aligning with policy and SDLC standards.

Qualifications

• Proven experience building AI solutions in regulated environments.
• Strong background in deploying scalable AI pipelines.
• Hands-on experience with model lifecycle and monitoring.

Responsibilities

• Architect and deliver AI systems end-to-end with speed to value balanced by reliability.
• Shape cloud architecture for complex AI platforms and large systems.
• Enable robust data foundations and scalable data pipelines.
• Operationalize AI via low-latency APIs and enterprise integrations.
• Build monitoring and reliability into production systems.
• Participate in principled agile-like development and peer reviews.
• Create thorough documentation aligned with SDLC and policy.

Skills

Azure AI

Python

Deep learning architectures

LLM patterns

Performance tuning

Software engineering

AI system design

Mentorship

Communication

Tools

TensorFlow

PyTorch

MLX

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