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# Agentic AI, AI & Data Science Engineer

- **Company:** Eliassen Group
- **Location:** Aberdeen Proving Ground, MD, United States
- **Salary:** $145,600.0 - $208,000.0
- **Contract:** Temporary to permanent
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Systems, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, Search Technologies, Microsoft SharePoint, Google Cloud, Microsoft Power Automate, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, SC Clearance, Event Driven Architecture, Microsoft Fabric, CrewAI, Data Analytics, AutoGen, Machine Learning Operations, Semantic Kernel, Azure Synapse Analytics, AIOps, Data Pipelines, Powerapps, Databricks, Microservices
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/16_b0ae64462

## About the Role

Due to federal security clearance requirements, applicant must be a United States Citizen with an active Secret clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 4+ years delivering AI/ML solutions, including at least 1 year with Generative AI, Agentic AI, or multi-agent systems.

 * 2+ years hands-on development using Python.
 * 1+ year building agentic systems using LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph, or similar frameworks.
 * Experience with Azure, AWS, or GCP for AI/ML workloads.
 * Experience building ML workflows, data pipelines, automation processes, or analytics systems.
 * Ability to translate functional or mission needs into technical solutions.
 * Active Secret Clearance, TS preferred.
 * Preferred: DoD, Army, or federal mission support; capability development and training in government settings; multi-agent systems for automation and decision support; LLM prompt engineering, fine-tuning, secure RAG; MLOps/AIOps and CI/CD; APIs, microservices, event-driven architectures; Microsoft Power Apps.
 * Preferred Azure tools: Azure Machine Learning, Synapse, Databricks, Cognitive Services, Cognitive Search with Vector Search, Microsoft Fabric.
 * Preferred data and analytics tools: Python, R, Power BI, Power Automate, SharePoint.
 * Preferred certifications: Azure, AWS, GCP, ML/AI engineering, or solutions architecture.

## Description

Our client seeks an Agentic AI, AI & Data Science Engineer to develop mission-focused AI/ML solutions, automation workflows, analytics capabilities, and agent-based systems that support Army readiness, decision advantage, and modernization. This practitioner role partners closely with government personnel to deliver solutions while enabling knowledge transfer, documentation, and sustainable adoption., * Develop mission-driven AI/ML models, analytics workflows, automation solutions, and agentic AI systems supporting CECOM and Army requirements.

 * Collaborate daily with government engineers and analysts to provide technical guidance, training moments, and knowledge transfer.
 * Build and maintain mission data pipelines, dashboards, Power BI solutions, retrieval pipelines (RAG), and agentic workflows.
 * Design and implement Generative AI, Agentic AI, and multi-agent solutions using frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, and LangGraph.
 * Integrate LLMs securely with mission data, memory systems, vector search, and agent orchestration aligned with compliance and cyber requirements.
 * Support cloud-native AI practices including MLOps/AIOps, CI/CD pipelines, monitoring, and responsible AI governance.
 * Produce documentation, sustainment plans, and handoff materials to ensure long-term government ownership.
 * Coordinate with teams, mission partners, and stakeholders to align solutions with operational needs and modernization objectives.