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# Sr. AI Technical Lead & Data Developer (REMOTE)

- **Company:** Koniag Services, Inc.
- **Location:** Albuquerque, NM, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Application Integration Architecture, Microsoft Azure, Cloud Computing, Information Systems, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Structures, Data Systems, Relational Databases, Database Development, Python (Programming Language), Machine Learning, SQL Azure, NumPy, Performance Tuning, OpenAI, Software Engineering, SQL Stored Procedures, Systems Integration, Data Processing, Freeform SQL, Microsoft Power Automate, Azure Data Factory, Large Language Models, Generative AI, Backend, Pandas, Build Management, Information Technology, Low-code, Machine Learning Operations, Azure AI, Api Design, Semantic Kernel, Azure Synapse Analytics, Data Pipelines, Powerapps
- **Published:** November 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9285737/sr-ai-technical-lead-data-developer-remote

## About the Role

* Minimum of 8-10 years in data development, software engineering, or data engineering, with at least 3 years leading technical AI/ML projects.

Education:

 * Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience).

Python Mastery:

 * Expert-level Python programming skills focused on data manipulation (Pandas, NumPy) and AI frameworks.

SQL & Database Expertise:

 * Strong background as a Database Engineer with advanced SQL proficiency, data modeling, and performance tuning.

Azure Ecosystem:

 * Hands-on experience developing within Microsoft Azure (Azure SQL, Azure Synapse, or Azure OpenAI services).

Power Platform:

 * Proven experience integrating backend data structures and APIs with Microsoft Power Apps and Power Automate.

Security Requirement:

 * Ability to clear a federal background investigation to obtain a DOI Public Trust clearance., * Prior experience supporting the Department of the Interior (DOI) or other federal agencies as a government contractor.
 * Relevant certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate).
 * Experience implementing Generative AI, Retrieval-Augmented Generation (RAG), or LLM orchestration frameworks (LangChain, Semantic Kernel).

## Description

Koniag Professional Services, LLC, a Koniag Government Services is seeking a Senior AI Technical Lead & Data Developer to support a critical federal modernization initiative for the Department of the Interior (DOI).

In this dual-focused role, you will bridge the gap between cutting-edge AI implementation and robust data engineering. We are looking for a hands-on developer rather than a theoretical architect. You will lead the technical direction of AI initiatives while actively writing Python code, optimizing SQL databases, and integrating data pipelines within a Microsoft Azure and Power Apps ecosystem.

This position will be part of a team supporting a Federal client with a business and IT modernization project., AI Leadership & Development:

 * Lead AI initiatives from conception to deployment, serving as the primary technical point of contact for the DOI customer.
 * Build and deploy practical AI/ML solutions using Python, leveraging Azure Cognitive Services, OpenAI API, or open-source frameworks.
 * Translate business requirements from DOI stakeholders into scalable, technical AI data solutions.

Data Engineering & Development:

 * Design, build, and maintain robust data pipelines, ETL/ELT processes, and database schemas.
 * Write clean, efficient, and production-ready Python code for data manipulation, automation, and AI integration.
 * Develop and optimize complex SQL queries, stored procedures, and relational database structures.

Cloud & Low-Code Integration:

 * Architect data environments natively within the Microsoft Azure cloud platform (Azure SQL, Data Factory, Blob Storage).
 * Connect data backends seamlessly with front-end Power Apps and Power Automate workflows to deliver user-facing AI tools.