AI Engineer IV

Responsibilities

• 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 AI/ML solutions before scaling investment.
• Shape cloud architecture for complex AI platforms by designing and implementing cloud architecture for large, multi‑faceted AI systems (compute, storage, security, deployment, monitoring).
• Enable robust data foundations by assisting 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 by defining specifications for low‑latency APIs/services that deploy models and integrate AI into enterprise applications.
• Build monitoring and reliability into production by developing code and approaches for monitoring models and AI systems to ensure consistent performance, accuracy, and reliability in production.
• Driving engineering excellence by participating in principled, agile‑like development practices; ensuring peer review for all assigned work and conducting reviews for others as needed.
• Document with production discipline by creating and maintaining thorough documentation aligned with team procedures, SDLC expectations, and corporate policies.
• Mentor and raise the bar by guiding AI engineers on AI/ML best practices and helping grow team capability through feedback, coaching, and knowledge sharing.
• Influence strategy and roadmaps by advising team and division leadership on enterprise AI strategy, AI technology roadmaps, and AI infrastructure direction.
• Partner with stakeholders and uphold governance by collaborating with external stakeholders to conceptualize AI solutions that deliver business value while adhering to AI governance, best practices, and data quality/security standards.
• Provide thought leadership by contributing to the broader AI community through best‑practice sharing, patterns, reusable frameworks, and technical leadership.
• Perform other duties as assigned.

• Bachelor’s degree in computer science, Information Systems, Statistics, Mathematics, or a related field, or equivalent experience.
• At least 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 AI/ML systems.

• Experience building AI solutions using cloud platforms and services (e.g., Azure AI services or similar) in a highly regulated environment; healthcare experience preferred.
• Experience successfully product ionizing AI models, including scalable pipelines and robust monitoring systems.
• Strong background developing deep learning models using modern frameworks (e.g., Tensor Flow, 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 (e.g., retrieval‑augmented generation and structured reasoning approaches) and setting team best practices through reviews and standards.
• Knowledge, skills, and abilities proven experience developing deep learning architectures (e.g., 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, low‑latency services, monitoring).
• Strong communication and stakeholder influence—able to explain technical tradeoffs clearly to non‑technical audiences.
• Mentorship and leadership mindset with a commitment to knowledge sharing and raising team capability.

Premera total rewards package includes…