Senior AI Engineer

DescriptionOn-site in Aberdeen Proving Ground, MDOur client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, analytics solutions, and automation workflows that drive Army readiness and modernization. This hands-on contributor will collaborate with government personnel to design, build, and implement solutions, integrate LLMs with mission data, and advance cloud-native AI practices while providing technical mentorship and knowledge transfer.Due to federal security clearance requirements, applicant must be a United States Citizen with an active Top 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.Rate: $80.00 to $90.00/hr. w2ResponsibilitiesDevelop and deploy mission-focused AI/ML models, analytics solutions, automation workflows, and agentic AI applications supporting Army and CECOM initiatives.Collaborate with government engineers, analysts, and stakeholders to deliver operationally relevant AI solutions.Design, develop, and maintain data pipelines, dashboards, Power BI solutions, RAG systems, and agent-based workflows.Build and implement Generative AI and Agentic AI solutions using frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, and LangGraph.Integrate LLMs with mission data sources, vector databases, memory systems, and orchestration frameworks in alignment with cybersecurity and governance requirements.Support cloud-native AI practices including MLOps, AIOps, CI/CD pipelines, model monitoring, and responsible AI.Produce technical documentation, sustainment plans, and transition materials for long-term government ownership.Deliver technical coaching and knowledge transfer to expand AI and data science competencies.Partner with mission stakeholders to align AI and analytics capabilities with operational requirements and modernization objectives.Experience RequirementsActive Top Secret SCI clearance and Secret clearance required.Bachelor's degree in a related technical discipline or equivalent experience.Minimum 4 years developing and delivering AI/ML solutions.At least 1 year working with Generative AI, Agentic AI, or multi-agent systems.Minimum 2 years of hands-on Python development.At least 1 year building agentic AI with frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, or LangGraph.Experience with ML workflows, data pipelines, automation, or advanced analytics.Experience supporting AI/ML workloads in Azure, AWS, or GCP.Ability to translate mission or business requirements into technical solutions.Experience supporting DoD, U.S. Army, or Federal Government programs preferred.Experience conducting technical training, mentoring, or knowledge transfer in government environments preferred.Experience designing and implementing multi-agent systems for decision support, workflow automation, or mission operations preferred.Knowledge of LLM prompt engineering, model tuning, secure RAG, vector databases, and retrieval systems preferred.Experience with MLOps, AIOps, DevSecOps, CI/CD, and cloud-native deployments preferred.Experience integrating APIs, microservices, and event-driven architectures preferred.Experience with Microsoft Power Platform including Power Apps and Power Automate preferred.Familiarity with Azure AI and Analytics services such as Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, and Synapse Analytics preferred.Education Requirements Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline, or equivalent experience.