Solution Architect, AI & Automation

Role Overview

• 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.
• Collaborate with enterprise and solution architects to define solution patterns and reference architectures.
• 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.
• 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.
• Identify where AI capabilities (LLMs, classification, extraction, summarization, retrieval, etc.) can safely and effectively augment or replace manual work in workflows.
• Monitor and troubleshoot workflow runs, data issues, and AI‑agent calls; implement improvements to increase robustness, observability, and performance.
• 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.

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.
• 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.
• 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.
• 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.
• Ability to understand and model business processes, including creating workflow diagrams and clear documentation for stakeholders.

Tech Stack

• Cloud
• JavaScript
• Microservices
• Python
• SQL

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, including counseling services, stress management programs, and mindfulness programs.
• 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.
• On-campus resources and activities.