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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data designsystems architectureAI agentsmicroservicesscriptingPythonC#JavaScriptSQLSnowflake

Soft Skills

communicationcollaborationconsultationproblem-solvingdocumentationstakeholder engagementprocess optimizationworkflow designfeedback gatheringiteration