AI Engineer

Job Description:

Job Details

We are seeking a hands-on Lead AI & Data Architect who can design scalable enterprise data platforms and engineer AI solutions that securely connect to real business systems.

This is not a pure AI research position, a traditional data architect role, or a Power Platform development position. The ideal candidate combines enterprise data architecture expertise with the ability to personally develop AI agents, integrations, and proof-of-value solutions that can evolve into production systems.

What You'll Be Doing

-Architect and modernize enterprise data platforms using Microsoft Fabric, Azure, SQL, Lakehouse and data warehouse technologies

-Design dimensional data models, star/snowflake schemas, semantic layers and governed enterprise datasets

-Define scalable data ingestion, transformation, integration and orchestration patterns

-Architect Azure AI Foundry solutions and enterprise AI applications

-Design and implement RAG architectures, vector/search solutions, grounding strategies and enterprise knowledge retrieval

-Develop AI agent and tool-integration architectures, including MCP where appropriate

-Build hands-on Python services, APIs, agents and integration components

-Establish secure data and AI access patterns using Microsoft Entra, row-level security, governance and enterprise controls

-Collaborate with existing SQL developers on data engineering and platform implementation

-Partner with the Power Platform developer on Power Apps, Power Automate and Copilot Studio integrations

-Translate business requirements into scalable, production-ready architecture and AI solutions

-Establish architectural standards and mentor developers while remaining technically hands-on

What We're Looking For

-Senior/principal-level experience in enterprise data architecture and engineering

-Strong hands-on Microsoft Fabric and Azure architecture expertise

-Advanced SQL, dimensional modeling, data warehousing and semantic modeling skills

-Experience with Azure AI Foundry or related Azure AI services

-Practical knowledge of RAG, vector search, grounding and AI agents

-Strong Python development, API integration and enterprise systems integration experience

-Familiarity with agent tools, function calling and MCP architecture

-Experience designing secure systems with Entra, RLS, data governance and access controls

-Ability to make sound architecture decisions and personally build working solutions

-Strong collaboration and technical leadership skills technologies including -RAG, AI agents, Python, and API integrations. We need someone who can architect enterprise-grade solutions and personally build critical components, not someone limited to high-level diagrams or strategy.

Job Expectations 

Comply with all applicable federal, state, local, & SA Recycling safety, health, & environmental rules, regulations, policies, & procedures. 

Physical Requirements 

-Work Environment: Office 

- Equipment & Tools: Personal computer, multi-line phone, Laser printer 

- Physical Demand Level: Light to Moderate  

- Work Capacity: Lifting & carrying 35lb loads, bending, kneeling, and sitting for long periods. 

- Sensory Demands: Hearing, vision, touch and taste  

- Hand Movements: Repetitive motions, gripping, keyboard alignment

Pay Range:

SA Recycling is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.