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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end technical architecture and delivery of AI solutions, with a strong focus on production LLM applications and integration with enterprise systems. Proven ability to establish engineering standards and provide technical direction to cross-functional teams.
Highest-signal resume keywords
End-To-End Technical ArchitectureProduction LLM Application DevelopmentAI Integration with Enterprise SystemsCloud and Data Platform ExpertiseTechnical Direction for AI Teams
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAI EngineeringLLM Application PatternsData Retrieval TechniquesTool OrchestrationModel EvaluationCloud PlatformsAzure AI FoundryDatabricksSystematic Evaluation
Tools & Technologies
ProcoreSalesforceBluebeamERP SystemsMicrosoft Fabric
Industry Keywords
Technical ArchitectureAI SolutionsEngineering StandardsCost MonitoringHuman-In-The-Loop Review
Tech Stack
Tools & technologiesAzureCloudERP
About the role
Key responsibilities & impact- Own end-to-end technical architecture and delivery of a core software platform, from prototype through production and long-term enhancement
- Build production LLM and agentic applications, including retrieval over project and construction data, agent and tool orchestration, evaluation harnesses, context engineering, and human-in-the-loop review paths
- Integrate AI solutions with enterprise systems of record, including Procore, Salesforce, Bluebeam, ERP and finance systems, and Microsoft Fabric
- Establish engineering standards across the AI team, including repository structure, testing and model evaluation, release process, observability, consumption and cost monitoring, and security review
- Serve as senior technical owner of Blattner’s core AI platform and remain accountable for adoption and operating costs
- Partner closely with a Senior AI Product Manager
- Provide technical direction to AI Engineers, Data Engineers, and Full Stack Application Developers
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, or related field
- 8 or more years of applicable professional experience in Machine Learning, AI Engineering, or related fields
- Production experience with LLM application patterns: retrieval, agents and tool use, MCP or comparable tool-calling frameworks, and systematic evaluation
- Deep understanding of cloud and data platforms
- Azure and Databricks preferred, including Azure AI Foundry
- Blattner is not able to sponsor H-1B visas or permanent residency; candidates must hold valid, independent, non-expired work authorization (e.g., U.S. citizenship, permanent residency, or other valid work authorization)
Benefits
Comp & perks- Competitive pay
- 100% employer paid HDHP insurance premiums for employees
- 401(k) with company match
- HSA and FSA options
- Dental and Vision insurance
- Education Assistance (Tuition Reimbursement)
- Work/Life balance
- Employee/Family focused culture
- Gym on site
- And more!
