C
CADDi
Senior Solutions Architect Expert (Data Science)
Skills
Google Cloud PlatformSQL QueriesRustDockerTypescriptPythonData ScienceTesting & QAGraphQLAIAWSAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $225,000 / year
Location:
Chicago, IL, USA
Work mode:
Onsite
Published on:
27 August 2026
What they need
- You will be on the bleeding edge of AI, helping transform manufacturers and innovating as you go
- Not only will you be helping customers, but you will be the chief pathfinder for our product and technology teams as you discover repeatable solutions for US manufacturers
- Own solution architecture and delivery end-to-end: from discovery and scoping to POC, testing, and handover
- Code and ship integrations in Python/TypeScript/Rust, build APIs and integrations, and stand up data pipelines
- Partner cross-functionally with Sales (technical scoping, demos), Product (field feedback and reusability), and Customer teams (enablement and runbooks)
- Write clear technical documents: architecture diagrams, SOW estimates, test plans, and ops runbooks
- 0→1 focus: move from first customer conversation to production quickly; create reusable accelerators for later 1→N scale
- This is not a coordination/program role
- Hands-on development: design, prototype, and build data/AI features and integrations; write services and orchestration code
- Customer discovery and value engineering: elicit requirements, map data sources, define measurable success criteria
- Solution demos and technical workshops: iterate quickly on POCs to prove value
- Productionize: harden data flows, instrument logging/metrics, add tests, security controls, and deployment pipelines
- Pre-sales technical support: shape SOWs, right-size scope and estimates, and de-risk delivery- Strong API integration experience (REST/GraphQL), auth models, and webhooks; familiarity with event-driven designs
- Hands-on with data pipelines and AI patterns: ETL/ELT, vector stores and evaluation/guardrails
- Manufacturing native a plus: ERP/MES/PLM/QA/LIMS familiarity and common data shapes
- Git-centric workflow, code reviews, testing practices, and documentation discipline
- Willingness to travel 30%
- Cloud-native delivery: containers (Docker), CI/CD, and deployments to AWS/GCP/Azure; infra-as-code mindset and basic networking/security
- U.S. citizen or green card holder (ITAR)
- 5-10 years building and delivering production-grade data or application solutions, ideally in B2B or industrial/manufacturing contexts
- Consulting toolkit: can translate ambiguous problems into scoped deliveries and communicate crisply with execs and engineers
- Proficient in Python and SQL; comfortable with other languages
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