Solution Architect, AI & Automation

Join Our Team: Do Meaningful Work and Improve People’s Lives

Our purpose, to improve customers’ lives by making healthcare work better, is far from ordinary. At Premera Blue Cross, you have the opportunity to drive real change by transforming healthcare. We are committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we’re able to better serve our customers. This commitment has earned us recognition as one of the best companies to work for.

Learn how Premera Blue Cross supports our members, customers and the communities that we serve through our Healthsource blog: https://healthsource.premera.com/.

As a Solution Architect, AI & Automation, you will design, implement, and support technical solutions for the Data Management, AI Engineering and Data Science teams, bridging the gap between technology and business requirements. You will work with engineering teams and customers to understand problems, customize products, provide technical solutions, and ensure successful integration, often focusing on software, cloud, or network infrastructure.

This is a remote/telecommuter position, working from home.

What you’ll do:

• Meet with clients to understand their technical challenges, goals, and requirements.
• Develop customized technical solutions, often involving software, data and AI, or cloud services to meet specific client needs.
• Act as a communication bridge between clients and internal engineering, development, and support teams.
• Create technical documentation, design documents, training materials, and proof of concepts for presentations.
• Drive clarity across stakeholders through consultation, creation, and discussion of architecture work products.
• Continually assess the value and effectiveness of work products within your discipline.
• Collaborate with enterprise and solution architects to define solution patterns and reference architectures.

Workflow & Process Design:

• Partner with business stakeholders to understand end‑to‑end processes, decisions, and information flows, and translate them into automated workflows.
• Design workflow diagrams and process specifications that clearly define steps, inputs/outputs, and where human vs. automated vs. AI‑driven decisions occur.

Data Substrate & Snowflake:

• Collaborate with data and engineering teams to define the data required for each action or decision and curate it into a well‑modeled Snowflake “data substrate” (tables, views, and data contracts).
• Work with data dictionaries/catalogs to ensure every workflow step has clear, reliable data sources and that changes to the data model are reflected in automations.

AI‑Driven Automation:

• Identify where AI capabilities (LLMs, classification, extraction, summarization, retrieval, etc.) can safely and effectively augment or replace manual work in workflows.
• Specify requirements for custom AI agents (inputs, outputs, context, SLAs) and integrate those RESTful services as steps within workflow management tools in collaboration with the AI Engineering team.

Systems Integration & Reliability:

• Configure and maintain integrations between source systems, Snowflake, and other core systems via APIs and connectors, ensuring secure and reliable data flows.
• Monitor and troubleshoot workflow runs, data issues, and AI‑agent calls; implement improvements to increase robustness, observability, and performance.

Analytics, Feedback & Iteration:

• Define and maintain metrics and dashboards to track workflow performance, throughput, and error rates using the underlying Snowflake data.
• Gather feedback from users and stakeholders, run experiments, and iterate on workflow and agent designs to continuously improve business outcomes.

What you’ll bring:

Required Qualifications:

• Bachelor’s Degree in Engineering, Healthcare, Computer Science, or related field or seven (7) years of experience in an information technology or engineering position.
• Ten (10) years of experience in data and systems design, architecture, and implementation with at least five (5) years of experience in an area of specialty.

Preferred Qualifications:

• Experience with Elementum or similar supply chain/process automation platforms.
• Experience defining or consuming AI agents or microservices in production environments.
• Background in insurance, consulting, operations, finance, or supply‑chain domains where process optimization was a core part of the role.
• Experience with scripting or programming (e.g., Python, C#, or JavaScript) to build light internal tools or automations.

Knowledge, Skills & Abilities:

• Data & Tooling: Strong SQL skills and practical experience working with modern cloud data warehouses; experience with Snowflake is a strong plus. Solid understanding of relational data modeling, tables/rows/columns, and data catalog/data dictionary concepts.
• AI & Integration: Familiarity with AI/LLM capabilities and patterns (e.g., chatbots, RAG, classification, extraction) and how to apply them in real workflows. Experience integrating services over REST APIs and working with JSON payloads; comfort collaborating with engineering teams on API‑based solutions.
• Process & Collaboration: Ability to understand and model business processes, including creating workflow diagrams and clear documentation for stakeholders. Strong communication skills, able to translate between business and technical audiences and act as an internal consultant to identify and prioritize high‑impact automation opportunities.

Premera Total Rewards:

Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including:

• 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.
• Generous paid time off to reenergize.
• Tuition assistance for both undergraduate and graduate degrees.
• Employee recognition program.

Key skills/competency

• Solution Architecture
• AI Engineering
• Automation Strategy
• Data Management
• Snowflake Data Warehouse
• REST API Integration
• Workflow Design
• Business Process Optimization
• Cloud Services
• Machine Learning (LLMs)