AI Engineer III
Premera Blue Cross · United States
- Hybrid
- Full-time
- $170,000 / year
- United States
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Job highlights
- Develop AI/ML solutions from concept to production.
- Build and deploy robust AI systems using cloud resources.
- Collaborate to ideate and prototype new AI products.
- Focus on ethical AI, fairness, and bias mitigation.
- Guide junior engineers and mentor team members.
About the role
AI Engineer III
Join Premera Blue Cross and contribute to meaningful work that improves people’s lives by making healthcare work better. As an AI Engineer III, you will be instrumental in taking AI/ML solutions from concept to production. This role requires a blend of creativity and analytical prowess to address business challenges, propose innovative AI solutions, and implement them through robust system design, modeling, and coding. You will collaborate with cross-functional teams to develop and prototype new AI products, creating models, architectures, and software that power AI systems to solve complex problems at scale. Successful candidates will possess hands-on experience in rapidly developing and deploying ML algorithms, coupled with strong software engineering skills for building reliable AI infrastructure.
What you’ll do:
- 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 cloud resources like Azure OpenAI, Azure ML, and Cognitive Services.
- Contribute to the creation of robust data pipelines for model evolution and production systems.
- Develop specifications for low latency APIs and services for AI model deployment.
- Supervise and sustain AI systems in production, ensuring model accuracy and reliability.
- Participate in a team that exercises principled, agile-like development practices.
- Create and maintain thorough documentation consistent with team procedures and policies.
- Conduct and receive peer reviews on assigned work.
- Guide junior AI engineers on AI/ML best practices and methodologies.
- Stay updated on new tools and concepts through continuous learning and skill development.
- Support and participate in meetings with external stakeholders.
What you’ll bring:
Minimum Qualifications
- 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 in 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).
Preferred Qualifications
- At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks.
- Knowledge of and experience in implementing ethical AI practices, including explainable AI, fairness, and bias mitigation (at least 2 years).
- Minimum of 3 years of proficiency in advanced prompt engineering techniques (e.g., General Knowledge Prompting, ReAct) and tools like LangChain or OpenPrompt.
- Capability to mitigate prompt injection attacks using tools like Guardrails or PromptInject.
- Minimum of 3 years of experience in successfully productionizing AI models, including scalable data pipelines and robust monitoring systems.
- 3+ years working within Agile-like teams and environments.
Knowledge, Skills, And Abilities
- Experience developing deep learning architectures (CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, NODEs).
- Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning.
- Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring.
- Familiarity with software design patterns, microservices, distributed computing, and container orchestration.
- Proficient software engineering skills for building secure, stable software systems at scale.
- Proficiency in developing and optimizing ML solutions using Python, NumPy, Pandas, Matplotlib, and scikit-learn.
- Familiarity with traditional ML lifecycles.
- Familiarity with building minimal interfaces for AI products (e.g., Streamlit or Shiny).
- Familiarity with ethical AI practices including explainable AI, fairness, and bias mitigation.
- Strong communication, collaboration, and mentorship skills.
- Growing ability to articulate technical details and tradeoffs of AI solutions to non-technical stakeholders.
Key skills/competency:
- AI Engineering
- Machine Learning
- Deep Learning
- Python
- Cloud Computing (Azure)
- Data Pipelines
- Model Deployment
- Prompt Engineering
- Software Engineering
- Agile Methodologies
Skills & topics
- AI Engineer
- Machine Learning Engineer
- Deep Learning
- Python
- Azure AI
- MLOps
- Prompt Engineering
- Software Development
- Healthcare Technology
- Data Science
How to get hired
- Tailor your resume: Highlight AI/ML experience, cloud deployment, Python, and deep learning frameworks, aligning with Premera's needs.
- Showcase your expertise: Emphasize projects involving ethical AI, prompt engineering, and productionizing models with quantifiable results.
- Prepare for technical questions: Be ready to discuss deep learning architectures, debugging AI systems, and software engineering best practices.
- Demonstrate collaboration: Highlight experience working in Agile teams and mentoring junior engineers.
- Research Premera: Understand their mission to improve healthcare and their commitment to innovation.
Technical preparation
Master Python, NumPy, Pandas, and ML libraries.,Practice deep learning frameworks like PyTorch/TensorFlow.,Build AI solutions using Azure services.,Develop skills in prompt engineering and ethical AI.
Behavioral questions
Describe a complex AI problem you solved.,How do you mentor junior engineers?,Share an experience with ethical AI challenges.,How do you collaborate on cross-functional projects?
Frequently asked questions
- What are the core responsibilities of an AI Engineer III at Premera Blue Cross?
- As an AI Engineer III at Premera Blue Cross, your core responsibilities include developing AI/ML solutions from concept to production, building robust data pipelines, deploying models using cloud resources like Azure, and ensuring the reliability and accuracy of AI systems in production. You'll also collaborate with teams, prototype new AI products, and mentor junior engineers.
- What specific cloud technologies are used for AI/ML at Premera Blue Cross?
- Premera Blue Cross utilizes cloud resources such as Azure OpenAI, Azure Machine Learning (Azure ML), and Cognitive Services for developing, refining, and productionizing AI systems. Familiarity with these platforms is crucial for this role.
- Does Premera Blue Cross prioritize ethical AI practices in their AI Engineer roles?
- Yes, Premera Blue Cross emphasizes ethical AI practices. The preferred qualifications specifically mention experience in implementing explainable AI, fairness, and bias mitigation, indicating a strong commitment to responsible AI development.
- What level of experience is required for the AI Engineer III position?
- A minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems is required. A Bachelor's Degree in a relevant field or equivalent experience is also necessary. Preferred qualifications include 4+ years of deep learning experience.
- Is the AI Engineer III role at Premera Blue Cross remote?
- Yes, the AI Engineer III position at Premera Blue Cross is a remote/telecommuter role, allowing you to work from home.
- What programming languages and frameworks are essential for this AI Engineer role?
- Proficiency in Python, along with libraries like NumPy, Pandas, Matplotlib, and scikit-learn, is essential. Experience with modern deep learning frameworks such as TensorFlow, PyTorch, MLX, or JAX is highly preferred.
- How does Premera Blue Cross support employee growth and development?
- Premera Blue Cross is committed to employee growth through a culture of continuous development, offering opportunities to innovate and lead. They provide tuition assistance for undergraduate and graduate degrees, an employee recognition program, and a comprehensive total rewards package.
- What are the benefits of working at Premera Blue Cross?
- Premera Blue Cross offers a comprehensive total rewards package including medical, vision, and dental coverage, retirement programs with a 401K match and pension plan, wellness incentives, generous paid time off, and opportunities for professional development. They aim to be a workplace where employees feel empowered to grow, innovate, and lead.