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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 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:** 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, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, SC Clearance, Event Driven Architecture, Microsoft Fabric, Data Analytics, Machine Learning Operations, Virtual Agents, Azure Synapse Analytics, Data Pipelines, Powerapps, Databricks, Microservices - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/76a6ffd4-ebc2-458c-9868-4e43b9bce523 ## About the Role * 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 Google Cloud Platform 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, Google Cloud Platform, 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? 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