What are the responsibilities and job description for the AI Sr. Developer position at Softcom Systems Inc?
Role: AI Sr. Developer
Location: Mountlake Terrace, WA (Remote) - West Coast candidates only.
Duration: Contract
Mandatory: Strong background developing deep learning models using modern frameworks eg TensorFlow PyTorch ML
X
Job Descriptio
n: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 servic
es
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 environm
ent
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 maintainabi
lityLead 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 invest
mentShape cloud architecture for complex AI platforms Contribute to designing and implementing cloud architecture for large multifaceted AI systems compute storage security deployment monito
ringEnable robust data foundations Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvem
entsOperationalize AI via services and APIs Define specifications for lowlatency APIsservices that deploy models and integrate AI into enterprise applicat
ionsBuild monitoring and reliability into production Develop code and approaches for monitoring models and AI systems to ensure consistent performance accuracy and reliability in produc
tionDriving engineering excellence Participate in principled agilelike development practices ensure peer review for all assigned work and conduct reviews for others as ne
ededDocument with production discipline Create and maintain thorough documentation aligned with team procedures SDLC expectations and corporate poli
ciesMentor and raise the bar Guide AI engineers on AIML best practices and help grow team capability through feedback coaching and knowledge sha
ringInfluence strategy and roadmaps Advise team and division leadership on enterprise AI strategy AI technology roadmaps and AI infrastructure direc
tionPartner 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 stand
ardsProvide thought leadership Contribute to the broader AI community through bestpractice sharing patterns reusable frameworks and technical leader
shipPerform other duties as assi
gned
Required Qualifica
tionsBachelors degree in computer science Information Systems Statistics Mathematics or a related field or equivalent exper
ienceAt 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 sy
stems
Preferred Qualific
ationsExperience building AI solutions using cloud platforms and services eg Azure AI services or similar in a highly regulated environment healthcare experience pre
ferredExperience successfully productionizing AI models including scalable pipelines and robust monitoring s
ystemsStrong background developing deep learning models using modern frameworks eg TensorFlow PyTor
ch MLXExperience with software design patterns microservices distributed systems and container orchest
rationKnowledge of ethical AI practices explainability fairness bias mitigation and applying them in real sol
utionsExperience implementing advanced LLM solution patterns eg retrievalaugmented generation and structured reasoning approaches and setting team best practices through reviews and sta
ndards
Knowledge Skills and Ab
ilitiesProven experience developing deep learning architectures eg transformers CNNs GANs LSTMs GNNs autoencoders diffusion model
s NODEsProven ability to debug and optimize AI systems including performance analysis and tuning app
roachesStrong software engineering skills and the ability to build secure stable systems a
t scaleExpertise in AI system design and deployment patterns pipelines lowlatency services mon
itoringStrong communication and stakeholder influenceable to explain technical tradeoffs clearly to nontechnical au
diencesMentorship and leadership mindset with a commitment to knowledge sharing and raising team cap