AI Engineer, Senior

Semper Valens Solutions is supporting the U.S. Army, specifically CECOM ASIC, as the organization modernizes mission platforms with AI, automation, and data-driven capabilities. In this Senior AI Engineer role based in Belcamp, MD (onsite), you will help design, develop, and deploy mission-focused AI/ML solutions that support operational decision advantage and readiness. The position is hands-on and involves close collaboration with government engineers, analysts, and stakeholders.

• Develop and deploy mission-focused AI/ML models, analytics solutions, automation workflows, and agentic AI applications for Army and CECOM initiatives.
• Collaborate with government engineers, analysts, and stakeholders to deliver AI solutions that are operationally relevant.
• Design, develop, and maintain data pipelines, dashboards, Power BI solutions, retrieval-augmented generation (RAG) systems, and agent-based workflows.
• Build and implement Generative AI and Agentic AI solutions using frameworks such as Lang Chain, Semantic Kernel, Auto Gen, Strands, CrewAI, Lang Graph, or similar technologies.
• Integrate large language models (LLMs) with mission data sources, vector databases, memory systems, and orchestration frameworks while adhering to cybersecurity and governance requirements.
• Support cloud-native AI practices, including MLOps, AIOps, CI/CD pipelines, model monitoring, and responsible AI implementation.
• Produce technical documentation, sustainment plans, and transition materials to support long-term government ownership and maintainability.
• Provide technical coaching, knowledge transfer, and collaboration opportunities to help government personnel grow AI and data science competencies.
• Partner with mission stakeholders across organizations to align AI and analytics capabilities with operational needs and modernization objectives.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline (or equivalent experience).
• Minimum 4 years of experience developing and delivering AI/ML solutions.
• At least 1 year of experience working with Generative AI, Agentic AI, or multi-agent systems.
• Minimum 2 years of hands-on Python development experience.
• At least 1 year of experience building agentic AI solutions using frameworks such as Lang Chain, Semantic Kernel, Auto Gen, Strands, CrewAI, Lang Graph, or similar platforms.
• Experience developing machine learning workflows, data pipelines, automation solutions, or advanced analytics capabilities.
• Experience supporting AI/ML workloads in Azure, AWS, or Google Cloud Platform (GCP).
• Ability to translate mission or business requirements into technical solutions.
• Ability to obtain and maintain a U.S. Government security clearance.

• AI/ML, Generative AI, Agentic AI, Python
• Lang Chain, Semantic Kernel, Auto Gen, Strands, CrewAI, Lang Graph
• Retrieval-augmented generation (RAG), Power BI, LLMs, vector databases
• MLOps, AIOps, CI/CD pipelines
• Azure, AWS, Google Cloud Platform (GCP)
• Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, Synapse Analytics
• Power Apps, Power Automate, Dev Sec Ops , microservices, event-driven architectures

• Referral bonus: $1,500

• Experience supporting Department of Defense (DoD), U.S. Army, or Federal Government programs.
• Experience conducting technical training, mentoring, or knowledge transfer in government environments.
• Experience designing and implementing multi-agent systems for decision support, workflow automation, or mission operations.
• Knowledge of LLM prompt engineering, model tuning, secure RAG architectures, vector databases, and retrieval systems.
• Experience with MLOps, AIOps, Dev Sec Ops…