Lead AI & Data Architect

Fast Growing Renewables Company

This Jobot Job is hosted by: Milan Kacar
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $175,000 - $210,000 per year

A bit about us:

We are an established, industry-leading organization with a large-scale operational footprint and a continued investment in modernizing our enterprise data platforms, Microsoft ecosystem, and AI capabilities.


We are looking for a highly experienced Lead AI & Data Architect to help shape our next generation of enterprise data and intelligent business solutions. This is a unique hybrid position combining approximately 65% data/platform architecture and 35% hands-on AI engineering.


The ideal candidate brings deep experience with Microsoft Fabric, Azure, enterprise data architecture, and modern AI 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.

Why join us?

$175-$210K proposed base compensation range
High-impact technical leadership role shaping enterprise data and AI architecture
Opportunity to design the Microsoft Fabric/Azure foundation for future AI initiatives
Build production AI agents, RAG solutions, and intelligent enterprise integrations
Balance strategic architecture decisions with meaningful hands-on engineering
Collaborate with existing SQL/data engineering and Power Platform developers
Influence security, governance, scalability, and long-term technical direction
Join an established organization investing in data modernization and AI innovation
Opportunity for the role to evolve toward greater AI engineering ownership over time

Job Details

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.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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