AI Engineer, SR

Semper Valens Solutions•Belcamp, MD

6d•Onsite

About The Position

CECOM ASIC is transforming how the U.S. Army develops, sustains, and modernizes mission platforms through the adoption of advanced artificial intelligence, automation, and data-driven capabilities. We are seeking a highly motivated AI Engineer to support the development and deployment of innovative mission-focused solutions. In this role, you will work side-by-side with government personnel to design, build, and implement AI/ML models, agentic AI systems, analytics solutions, and automation workflows that directly contribute to Army readiness, decision advantage, and modernization initiatives. This is a hands-on technical contributor position, not a management or team lead role. The selected candidate will provide advanced engineering expertise while supporting government personnel through collaboration, technical mentorship, and knowledge transfer to strengthen internal capabilities.

Requirements

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.

Nice To Haves

Experience supporting Department of Defense (DoD), U.S. Army, or Federal Government programs.
Experience conducting technical training, mentoring, or knowledge transfer activities 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.

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.