AI Agent Developer

Masco • Carmel, IN

8d • Remote

About The Position

At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence. Your Role at Delta Faucet Do you want to shape the future of analytics by building intelligent copilots that power decision-making across retail and ecommerce? Delta Faucet Company is reimagining how merchandising, pricing, supply chain, and customer experience analytics are delivered through AI-driven agents. We are seeking an AI Agent Developer to design, build, and operationalize agentic AI solutions that leverage the Databricks Lakehouse and Microsoft Copilot ecosystem. This role will transform governed enterprise data into autonomous, secure copilots embedded directly in Microsoft 365 (Teams, Excel, Power BI), helping business teams move faster with trusted insights. Ideal candidates will blend hands-on technical expertise in Databricks and Copilot Studio with strong business acumen in retail/consumer goods analytics. This is a ground-floor opportunity to shape Delta’s AI strategy, working with cutting-edge tools (Agent Bricks, LangChain, GPT-5, Claude, Unity Catalog, MLflow 3.0) while solving high-impact, real-world problems.

Requirements

• 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).

Responsibilities

• 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.
• 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).
• 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.
• 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.

Benefits

• Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Learning & Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.
• Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees