Description
On-site in Aberdeen Proving Ground, MD
Our 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. w2
Responsibilities- Develop 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 Requirements- Active 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.