AI Sr. Developer

Role: AI Sr. DeveloperLocation: Mountlake Terrace, WA (Remote) - West Coast candidates only.Duration: ContractMandatory: Strong background developing deep learning models using modern frameworks eg TensorFlow PyTorch MLXJob Description: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 servicesThis 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 environmentArchitect 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 maintainabilityLead 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 investmentShape cloud architecture for complex AI platforms Contribute to designing and implementing cloud architecture for large multifaceted AI systems compute storage security deployment monitoringEnable robust data foundations Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvementsOperationalize AI via services and APIs Define specifications for lowlatency APIsservices that deploy models and integrate AI into enterprise applicationsBuild monitoring and reliability into production Develop code and approaches for monitoring models and AI systems to ensure consistent performance accuracy and reliability in productionDriving engineering excellence Participate in principled agilelike development practices ensure peer review for all assigned work and conduct reviews for others as neededDocument with production discipline Create and maintain thorough documentation aligned with team procedures SDLC expectations and corporate policiesMentor and raise the bar Guide AI engineers on AIML best practices and help grow team capability through feedback coaching and knowledge sharingInfluence strategy and roadmaps Advise team and division leadership on enterprise AI strategy AI technology roadmaps and AI infrastructure directionPartner 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 standardsProvide thought leadership Contribute to the broader AI community through bestpractice sharing patterns reusable frameworks and technical leadershipPerform other duties as assignedRequired QualificationsBachelors degree in computer science Information Systems Statistics Mathematics or a related field or equivalent experienceAt 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 systemsPreferred QualificationsExperience building AI solutions using cloud platforms and services eg Azure AI services or similar in a highly regulated environment healthcare experience preferredExperience successfully productionizing AI models including scalable pipelines and robust monitoring systemsStrong background developing deep learning models using modern frameworks eg TensorFlow PyTorch MLXExperience with software design patterns microservices distributed systems and container orchestrationKnowledge of ethical AI practices explainability fairness bias mitigation and applying them in real solutionsExperience implementing advanced LLM solution patterns eg retrievalaugmented generation and structured reasoning approaches and setting team best practices through reviews and standardsKnowledge Skills and AbilitiesProven experience developing deep learning architectures eg transformers CNNs GANs LSTMs GNNs autoencoders diffusion models NODEsProven ability to debug and optimize AI systems including performance analysis and tuning approachesStrong software engineering skills and the ability to build secure stable systems at scaleExpertise in AI system design and deployment patterns pipelines lowlatency services monitoringStrong communication and stakeholder influenceable to explain technical tradeoffs clearly to nontechnical audiencesMentorship and leadership mindset with a commitment to knowledge sharing and raising team capability