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# AI Engineer

- **Company:** DIVERSIFIED INC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Business Systems, Azure Machine Learning, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AI Platforms, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e7e64d5117e3aa0e

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or related field.
 * 5+ years of experience in technology, product management, business systems, AI, or digital transformation.
 * Experience with building Enterprise AI platforms and Agentic workflows
 * Strong understanding of Agile methodologies and product ownership practices.
 * Excellent stakeholder management and communication skills.

Key Skills

 * AI & Generative AI Solutions
 * Agentic workflows and frameworks such as LangChain, LlamaIndex, or similar
 * Azure AI Services, Azure OpenAI, Anthropic, and others
 * RAG pipelines and Graphs
 * Product Ownership & Roadmap Management
 * Business Process Automation
 * Requirements Gathering
 * Change Management
 * Stakeholder Engagement
 * Agile Project Delivery

## Description

* Own the vision, roadmap, and backlog for internal AI products and solutions.
 * Lead the implementation of AI, automation, and Generative AI solutions for Enterprise Platforms
 * Build agentic workflows, prompt engineering and evaluation pipelines, agent orchestration layer, LLM gateway integration, RAG pipelines and model evaluation and monitoring
 * Identify and prioritize AI use cases that deliver measurable business value.
 * Partner with the AI Council and business stakeholders to gather requirements and define product features.
 * Collaborate with architects, developers, data engineers, and business teams.
 * Monitor solution performance, usage, and business outcomes.
 * Ensure AI solutions comply with security, privacy, and governance standards.
 * Evaluate emerging AI technologies and recommend future capabilities.