AI Sr. Developer

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 V-Soft Consulting Group