Solution Architect, AI & Automation

Premera Blue Cross

3d • $118,900 - $202,100 • Remote

About The Position

Our purpose, to improve customers’ lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is 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. It’s this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: https://healthsource.premera.com/. As a Solution Architect for 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 requirement by working 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.

Requirements

• Bachelor’s Degree in Engineering, Healthcare, Computer Science, or related field or (7) years of experience in an information technology or engineering position.
• (10) years of experience in data and systems design, architecture, and implementation with at least (5) years of experience in an area of specialty.
• 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.
• This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body.
• This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone.

Nice To Haves

• 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.

Responsibilities

• 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.

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, believe it or not, 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, including counseling services, stress management programs, and mindfulness programs, just to name a few.
• Generous paid time off to reenergize.
• Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.
• Employee recognition program to celebrate anniversaries, team accomplishments, and more.
• For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
• Commuter perks make your trip to work less impactful on the environment and your wallet.
• Free convenient on-site parking.
• Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
• Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
• Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
• Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level