AI Sr. Developer

Zuven technologies Inc; Mountlake Terrace (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Zuven technologies Inc in Washington state seeks an AI Engineer IV to provide technical leadership for AIML initiatives from concept to production. You will guide solution design, mentor engineers, and drive secure, scalable AI capabilities across data pipelines, models, and AI-enabled services.

The role blends hands-on engineering with leadership; you will shape AI strategy, influence architecture decisions, implement best practices for responsible AI in regulated environments, and collaborate

Qualifications

• Bachelor's degree in computer science, information systems, statistics, mathematics or related field (or equivalent experience).
• At least 8 years of experience in software development, and in building, deploying, and maintaining AIML systems.

Responsibilities

• Architect and deliver AI systems end-to-end.
• Lead ideation and rapid validation of AIML solutions.
• Shape cloud architecture for complex AI platforms.
• Enable scalable data pipelines powering AI systems.
• Operationalize AI via APIs and services.
• Build monitoring and reliability into production.
• Drive engineering excellence with agile practices.
• Document procedures aligned with SDLC and policy.
• Mentor and raise team capability.
• Influence AI strategy and roadmaps.
• Collaborate with stakeholders under governance.
• Provide thought leadership to the AI community.
• Perform other duties as assigned.

Skills

Azure AI

MLOps

Python

Deep learning

LLMs

Education

Bachelor's degree in CS/IS

Tools

TensorFlow

PyTorch

Kubernetes

ML frameworks

Job description

Job Description

Responsibilities :

As an AI Engineer IV you'll provide technical leadership to a team building AIML solutions that tackle complex business problems from early concept and experimentation through secure scalable production deployment You'll help shape AI strategy guide solution design and lead the delivery of high impact capabilities across data pipelines model development and AI enabled services

This role blends deep hands‑on engineering with leadership you'll drive prototypes into production influence architecture decisions for multifaceted AI systems mentor other engineers and elevate best practices for responsible AI in a highly regulated environment

• Architect and deliver AI systems end-to-end Recommend and develop comprehensive systems and frameworks for AI applications and products balancing speed to value with reliability and maintainability
• Lead ideation and rapid validation Pitch concepts to leadership then lead the design and build of prototypes and minimum viable products to validate AIML solutions before scaling investment
• 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
• Mentor and raise the bar Guide AI engineers on AIML best practices and help grow team capability through feedback coaching and knowledge sharing
• Influence strategy and roadmaps Advise team and division leadership on enterprise AI strategy AI technology roadmaps and AI infrastructure direction
• Partner with stakeholders and uphold governance Collaborate with external stakeholders to conceptualize AI solutions that deliver business value while adhering to AI governance best practices and data qualitysecurity standards
• Provide thought leadership Contribute to the broader AI community through bestpractice sharing patterns reusable frameworks and technical leadership
• Perform other duties as assigned

Required Qualifications

• Bachelors degree in computer science Information Systems Statistics Mathematics or a related field or equivalent experience
• At a minimum combined expertise of 8 years of relevant experience in software development including knowledge of the software development lifecycle and proficiency in multiple programming languages and industry experience developing deploying and maintaining AIML systems

Preferred Qualifications

• 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, MLOPS, Python

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No