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# AI Deployed Engineer

- **Company:** Diverse Lynx LLC
- **Location:** Minneapolis, MN, United States
- **Experience:** Experienced
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, JIRA, User Authentication, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Collaborative Software, Databases, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Machine Learning, Microsoft Dynamics, Oracle (Applications), Rapid Prototyping Process, Cloud Services, Salesforce.Com, Software Engineering, Data Streaming, Systems Integration, TypeScript, Unstructured Data, Workflow Management Systems, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Software Coding, Data Pipelines, Servicenow, Web Api
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-deployed-engineer-minneapolis-mn--1aa276c8-dc40-47cb-b254-791e86d58db6

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Business Processes, Metrics, Cloud Computing, Application Programming Interface (API), Rapid Prototyping, Product Planning, Customer Relations, Consulting, * 3-8 years of experience in engineering, implementation, product, consulting, or customer-facing technology roles.

 * Strong engineering fundamentals with hands-on coding experience in Python, JavaScript/TypeScript, Java, .NET/C#, or Go.
 * AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains.
 * Daily AI tool usage, demonstrable code contributions, and documented token usage.
 * Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment.
 * Comfortable with structured and unstructured data.
 * Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, or model integration.
 * Cloud experience across AWS, Azure, or Google Cloud.
 * Good communication, adaptability, and problem-solving in ambiguous environments.

Good to Have

 * Knowledge of ML algorithms, model building, deployment, deep learning, and NLP.
 * Experience integrating with Salesforce, Jira, Rally, Oracle, ServiceNow, Microsoft Dynamics or similar platforms.
 * Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics, and reporting workflows.
 * Healthcare exposure, especially contact centers, claims automation, finance, or technology services.

## Description

* Embed with business and engineering teams to own AI outcomes within a defined business domain.
 * Build and deliver AI solutions hands-on; this is an execution role, not an advisory role.
 * Convert AI potential into production value through code-first delivery and active repository contributions.

 2. Problem Discovery and Solution Design

 * Understand business processes, pain points, systems, data flows, and success metrics.
 * Translate problems into MVPs, integrations, automations, and production-ready solutions with an ownership mindset
 * Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.

 3. Rapid Prototyping and Value Validation

 * Own the journey from discovery to working solution, rapidly proving business value through pilots and POCs

 4. Integration, AdEligible to workion, and Scale

 * Integrate with enterprise platforms, data systems, workflows, collaboration tools, and third-party APIs.
 * Document architectures, implementation playbooks, reusable components, and customer-specific solution guides.
 * Feed field learnings into product roadmap, accelerators, and go-to-market propositions.