Improve customers' lives by making healthcare work better.
AI Engineer III
Location
United States
Posted
20 days ago
Salary
$118.9K - $230.5K / year
Seniority
Mid Level
No structured requirement data.
Job Description
AI Engineer III
Premera Blue Cross
Role Description As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. 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 before committing substantial resources. - Develop, refine, and productionize AI systems using cloud resources such as 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 necessary to deploy AI models and incorporate them into applications. - Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. - Actively participate in a team that exercises principled, agile-like development practices. - Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. - Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. - Guide junior AI engineers on AI/ML and industry best practices and methodologies. - Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. - Support and participate in meetings with external stakeholders. 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. Requirements - 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, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. - Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. - Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. - 3 or more years working within Agile-like teams and environments. Benefits - Medical, vision, and dental coverage with low employee premiums. - Voluntary benefit offerings, including pet insurance for paw parents. - Life and disability insurance. - Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service. - Wellness incentives with a wide range of mental well-being resources for you and your dependents. - Generous paid time off to reenergize. - Tuition assistance for both undergraduate and graduate degrees. - Employee recognition program to celebrate anniversaries, team accomplishments, and more. - Commuter perks and free convenient on-site parking. - Subsidized on-campus cafes and engaging on-site activities. - Access to a complementary fitness & well-being center offering both in-person and virtual workouts. Equal Employment Opportunity/Affirmative Action Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at careers@premera.com or via phone at 425-918-4785. Salary Information The salary range for this role is posted below; we generally target up to and around the midpoint of the range. - National Salary Range: $118,900.00 - $202,100.00 - National Plus Salary Range: $135,600.00 - $230,500.00 We’re happy to discuss compensation further during the interview because we believe that open communication leads to better outcomes for all.
Related Guides
Related Job Pages
More AI Engineer Jobs
AI Engineer
BLEN, Inc.Founded in 2004, BLEN, Inc. is a Washington, DC-based technology firm specializing in building cutting-edge software solutions and mobile applications. As an
• Design and build agentic systems — multi-step agents that plan, call tools, retrieve context, and take action with appropriate human-in-the-loop checkpoints • Build MCP servers and clients to securely expose client data, internal tools, and APIs to LLMs in a standardized, auditable way • Ship LLM-powered applications: copilots, document intelligence, search, summarization, and workflow automation • Design and maintain RAG pipelines — chunking, embeddings, vector stores, retrieval, reranking, and grounding • Integrate model APIs (OpenAI, Anthropic, Bedrock, Azure OpenAI, open-weight models) and pick the right model for the job based on quality, latency, and cost • Develop evals and observability for agents and AI features so we know what's working in production and what's regressing • Apply prompt engineering, structured outputs, function/tool calling, and guardrails to make agent behavior predictable • Write production Python backends and APIs that expose AI capabilities to web and mobile clients • Collaborate with engineers, designers, and product folks to scope what AI should (and shouldn't) do in a given product • Help shape responsible AI practices for federal use — privacy, security, auditability, and human oversight
• Design and deploy scalable, cloud-based architectures for AI-driven marketing applications. • Lead AI research and development efforts from early exploration through production delivery. • Partner with cross-functional stakeholders to translate business needs into testable AI solutions. • Build and optimize data pipelines, retrieval systems (RAG), vector databases, and multi-agent workflows. • Develop and maintain backend services and RESTful APIs using Java, Node.js, or Python. • Own end-to-end solution design, including prototyping, testing, training, and support processes. • Evaluate and prioritize AI initiatives based on feasibility, scalability, and business impact. • Communicate technical concepts and strategic recommendations clearly to senior stakeholders. • Document system architecture and best practices to ensure long-term scalability and maintainability. • Mentor team members and guide adoption of emerging AI technologies.
• Develop novel reinforcement learning algorithms to solve complex, real-world problems. • Integrate Large Language Models (LLMs) to enhance agent reasoning, threat intelligence, or human-machine interactions. • Implement and extend Message Control Protocol (MCP) to enable coordinated behavior across modular AI components or multi-agent systems. • Prototype new methods and help transition successful prototypes into deployed solutions. • Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate and deploy RL models in production. • Conduct thorough evaluations of model performance using appropriate experimental design and statistical analysis. • Write clean, maintainable and well-documented code. • Participate in code reviews and ensure the code quality of your team. • Troubleshoot and debug complex software issues.
• Own the complete AI platform portfolio across three categories: AI-enabled UX, AI agents (MCP/agentic automation), and AI in data processing. • Drive embedded AI features from internal alpha through production — managing rollout criteria, prompt iteration, success rate thresholds, and the decision framework for when each feature is ready for customer availability. • Define and maintain Redox's AI investment framework: KPIs, rollout criteria, cost guidelines, and the research agenda for what we still need to learn (monitoring, agentic loops, RAG, re-prompting). • Manage beta relationships for agentic use cases across multiple customer segments. • Lead Redox's agentic product strategy — starting with the MCP Server as the current foundation, expanding into native agent support for high-value customer workflows throughout 2026, with a clear 2027 vision & roadmap. • Equip sales and CS to position Redox's AI platform story accurately. • Scope and drive overall platform features required to unlock new use case, channel partnerships, & commercial success in the Enterprise customer base. • Ensure complex infrastructure work (VPN configurations, multi-tenant patterns, integration partner requirements) is scoped clearly and investments are made with commercial need. • Partner with GTM & Customer Success to enable vendor customer growth (both new business and expansion). • Contribute to use case development, customer segmentation, & field enablement to close high-value Enterprise vendor deals.



