D
AI Engineer, Senior
DataJobs
1 hour ago
Full-time
On-site
Maryland, United States
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.
What you’ll do
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 LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph, 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. Required qualifications
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 LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph, 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. Technologies you may work with
AI/ML, Generative AI, Agentic AI, Python LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph 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, DevSecOps, microservices, event-driven architectures Benefits
Referral bonus:
$1,500 Preferred qualifications
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, DevSecOps, CI/CD pipelines, and cloud-native deployments. Experience integrating APIs, microservices, and event-driven architectures. Experience developing low-code business applications using Microsoft Power Platform, including Power Apps and Power Automate. Familiarity with Azure AI and Analytics services, including Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, Synapse Analytics, and related technologies. Position overview:
CECOM ASIC is transforming how the U.S. Army develops, sustains, and modernizes mission platforms through advanced artificial intelligence, automation, and data-driven capabilities. This role focuses on advanced engineering contributions alongside government personnel, including collaboration, technical mentorship, and knowledge transfer to strengthen internal capabilities.
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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 LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph, 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. Required qualifications
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 LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph, 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. Technologies you may work with
AI/ML, Generative AI, Agentic AI, Python LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph 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, DevSecOps, microservices, event-driven architectures Benefits
Referral bonus:
$1,500 Preferred qualifications
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, DevSecOps, CI/CD pipelines, and cloud-native deployments. Experience integrating APIs, microservices, and event-driven architectures. Experience developing low-code business applications using Microsoft Power Platform, including Power Apps and Power Automate. Familiarity with Azure AI and Analytics services, including Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, Synapse Analytics, and related technologies. Position overview:
CECOM ASIC is transforming how the U.S. Army develops, sustains, and modernizes mission platforms through advanced artificial intelligence, automation, and data-driven capabilities. This role focuses on advanced engineering contributions alongside government personnel, including collaboration, technical mentorship, and knowledge transfer to strengthen internal capabilities.
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