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# AI Agent Developer

- **Company:** Masco Corporation
- **Location:** Indianapolis, IN, United States
- **Experience:** Experienced
- **Salary:** $88,700.0 - $139,260.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Audit Trail, Microsoft Outlook, Information Engineering, Data Hub, Data Integration, Python (Programming Language), Microsoft Dynamics, Open Source Technology, Power BI, Search Technologies, Software Engineering, SQL Databases, Microsoft Power Automate, Delivery Pipeline, Multi-Agent Systems, Generative AI, Microsoft Fabric, Data Lakes, Information Technology, Machine Learning Operations, OPUS (Software), Virtual Agents, Api Design, GPT, Powerapps, Databricks
- **Published:** July 31, 2026
- **Apply:** https://masco.wd1.myworkdayjobs.com/Masco/job/US---Indiana---Indianapolis/AI-Agent-Developer_REQ53877

## About the Role

* Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
 * 4-6 years of professional experience in software engineering, data engineering, or applied AI/ML.
 * Demonstrated ability to ship at least one production-ready agentic or RAG (retrieval-augmented generation) solution, or equivalent evidence through open-source projects, internal pilots, or demos.
 * Proficiency in Python and SQL with experience building APIs, workflows, or automation pipelines.
 * Hands-on experience in either:
 + Databricks Lakehouse (Delta Lake, Unity Catalog, Lakeflow Jobs, Model Serving, Vector Search), or
 + Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps, Dataverse, Graph connectors).
Candidates are expected to learn and ramp quickly in the other platform.

 * Familiarity with LLMOps practices (e.g., MLflow, prompt evaluation, observability dashboards) and implementing responsible AI guardrails (data access controls, PII handling, bias mitigation)., E-Verify Participation Poster: English & Spanish

E-verify Right to Work Poster: English, Spanish

## Description

Agent Development & Orchestration

 * Design and deploy multi-agent workflows using Copilot Studio, LangChain, and Databricks Agent Bricks.
 * Implement retrieval-augmented generation (RAG) pipelines using Delta Lake, Unity Catalog, and Databricks Vector Search.
 * Build custom Copilot connectors and plugins (Graph APIs, Power Automate actions) to expose governed Delta data in Teams, Outlook, and Power BI.

Data Integration & Analytics

 * Architect pipelines that connect transactional, inventory, and ERP feeds into real-time copilots with <2s response targets.
 * Orchestrate workflows across Microsoft Fabric, Dynamics 365, and Databricks Lakehouse (Bronze/Silver/Gold layers).

MLOps/LLMOps & Governance

 * Manage agent lifecycle using MLflow 3.0 for experiment tracking, prompt registry, evaluation, and tracing.
 * Enforce governance guardrails: Unity Catalog (row/column-level security, lineage, audit logging), Microsoft Purview (DLP, sensitivity labels), and responsible AI practices (guardrails, human-in-loop).
 * Monitor production agents for reliability, latency, token cost, effectiveness, usage, and safety.

Innovation & Optimization

 * Fine-tune foundation models (GPT-4o, GPT-5, Claude Opus, DBRX) for retail domain tasks.
 * Experiment with advanced multi-agent orchestration patterns, chain-of-thought optimization, and semantic indexing.
 * Continuously evaluate and integrate new features from Microsoft and Databricks platforms.
 * Evaluate adoption of agentic experiences, partnering with sales & channel marketing to maximize benefit and utilization.
 * Mentor and coach your analytics peers in ways that will accelerate the deployment of agents and the analytics outcomes we desire.


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