AI Engineer, SR - DCGS A FOS

Key Responsibilities

• Develop and deploy mission-focused AI/ML models, analytics solutions, automation workflows, and agentic AI applications supporting Army and CECOM initiatives.
• Collaborate closely with government engineers, analysts, and stakeholders to deliver innovative and operationally relevant AI solutions.
• 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, and similar technologies.
• Integrate large language models (LLMs) with mission data sources, vector databases, memory systems, and orchestration frameworks while ensuring compliance with cybersecurity and governance requirements.
• Support the adoption of 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.
• Deliver technical coaching, knowledge transfer, and collaboration opportunities that help government personnel expand AI and data science competencies.
• Partner with mission stakeholders across organizations to ensure AI and analytics capabilities align with operational requirements 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 of 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 of 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).
• Demonstrated ability to translate mission or business requirements into technical solutions.
• Ability to obtain and maintain a U.S. Government security clearance.