AI Engineer III

🕒 July 22

🐻 Alaska, Arizona, +25 more states – Remote

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💵 $118.9k - $202.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 34%

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Logo of Premera Blue Cross

Premera Blue Cross

1001 - 5000 employees

Founded 1945

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Premera Blue Cross is an independent health insurance provider, serving businesses and residents of Washington State and Alaska as a licensee of the Blue Cross Blue Shield Association. The company offers a range of health plans including individual, family, employer-based, and Medicare Supplement plans. However, it has announced that it will exit the Medicare Advantage market as of January 1, 2025. Premera is committed to advancing health equity and community support, evident through its Social Impact Program focused on behavioral health and homelessness solutions in Washington and Alaska. Additionally, Premera complies with federal and state civil rights laws, offering language assistance services to ensure equitable care.

📋 Description

• Develop comprehensive systems and frameworks for AI applications and products • Construct prototypes and minimum viable products to validate AI/ML solutions • Develop, refine, and productionize AI systems using Azure OpenAI, Azure ML, and Cognitive Services • Contribute to robust data pipelines for model evolution and production systems • Develop specifications for low-latency APIs and services for deploying AI models into applications • Supervise and sustain AI systems in production to ensure model accuracy and reliability • Participate in a team using principled, agile-like development practices • Create and maintain documentation aligned with team procedures and corporate policies • Ensure peer review of assigned work and conduct peer reviews of others’ work • Guide junior AI engineers on AI/ML best practices and methodologies • Keep current with new tools and concepts through documentation, literature, and skills development • Support and participate in meetings with external stakeholders • Collaborate cross-functionally to ideate and prototype AI products • Take AI/ML solutions from initial concept through full production implementation

🎯 Requirements

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position • Minimum of 3 years of industry experience developing, deploying, and maintaining AI or ML systems • Up to two years of industry experience may be substituted with an AI-centered Master’s/PhD or AI Engineering certifications • At least 4 years of experience developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks • Knowledge and experience implementing ethical AI practices, including explainable AI, fairness, and bias mitigation • At least 2 years working on projects requiring explainable AI, fairness, and bias mitigation • Minimum of 3 years’ proficiency in advanced prompt engineering techniques such as General Knowledge Prompting and ReAct • Experience with LangChain or OpenPrompt • Ability to mitigate prompt injection attacks and use Guardrails or PromptInject • Minimum of 3 years’ experience productionizing AI models, scalable data pipelines, and monitoring systems • 3+ years working within Agile-like teams and environments • Experience with CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and NODEs • Proficiency in debugging AI systems and hyperparameter tuning • Familiarity with software design patterns, microservices, distributed computing, and container orchestration • Proficient software engineering skills and experience building secure, stable software systems at scale • Proficiency in Python, NumPy, Pandas, Matplotlib, and scikit-learn • Familiarity with traditional ML lifecycles • Familiarity with Streamlit or Shiny • Strong communication, collaboration, and mentorship skills • Ability to articulate technical details and tradeoffs to non-technical stakeholders • Ability to meet the stated physical requirements, with or without accommodation

🏖️ Benefits

• Medical, vision, and dental coverage with low employee premiums • Voluntary benefit offerings, including pet insurance • Life and disability insurance • Retirement programs, including a 401K employer match and a pension plan vested after 3 years of service • Wellness incentives, including mental well-being resources, counseling services, stress management programs, and mindfulness programs • Generous paid time off • Tuition assistance for undergraduate and graduate degrees • Employee recognition program • Commuter perks • Free convenient on-site parking • Subsidized on-campus cafes • On-site health and wellness activities • Fitness and well-being center with in-person and virtual workouts and nutritional counseling • Remote/telecommuter work from home

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