Artificial Intelligence (AI) Engineer

Bright Vision Technologies is a forward‑thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting‑edge technologies to create scalable, secure, and user‑friendly applications. As we continue to grow, we’re looking for a skilled Artificial Intelligence (AI) Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well‑respected organization offering tremendous career growth potential. Job Title Artificial Intelligence (AI) Engineer Location Annapolis Junction, MD (Onsite; 1–2 remote days per week) Job Type Full Time Work Authorization Only US Citizens Clearance Requirement Active TS/SCI with Full Scope Polygraph required. Work Schedule Onsite with 1–2 remote days per week, depending on tasking. Job Summary Bright Vision Technologies is seeking a highly skilled Artificial Intelligence (AI) Engineer for a full‑time opportunity in Annapolis Junction, MD . This role requires an active Top Secret/SCI clearance with Full Scope Polygraph and supports a highly sensitive intelligence environment. The ideal candidate will work closely with system engineers and software engineers to design, prototype, and integrate AI capabilities into an existing operational architecture. This is a hands‑on engineering role focused on building production‑grade AI solutions that improve workflow efficiency, support mission operations, and enhance analyst effectiveness. Key Responsibilities Design, develop, prototype, test, and deploy AI‑driven solutions within an existing software and system architecture. Build production‑quality code and maintain existing AI/ML systems in a secure operational environment. Partner with software engineers, system engineers, and domain stakeholders to integrate AI capabilities into mission applications. Perform exploratory data analysis on structured and unstructured datasets to identify patterns, data quality issues, and optimal inputs for model development. Develop, train, tune, and evaluate machine learning models based on mission and system requirements. Implement robust testing, validation, and performance evaluation methods to ensure models are reliable, accurate, and operationally effective. Present AI solution approaches, technical tradeoffs, and implementation implications to both technical and non‑technical stakeholders. Support cloud‑based deployment and lifecycle management of machine learning models using AWS and MLOps practices. Stay current with emerging AI and machine learning advancements and apply relevant innovations to existing systems and new challenges. Required Experience Strong hands‑on experience designing and developing AI/ML solutions from concept through production deployment. Experience building, training, testing, and evaluating machine learning models in real‑world environments. Strong programming experience writing production‑quality code , preferably in Python . Experience conducting Exploratory Data Analysis (EDA) on both structured and unstructured data. Ability to assess data quality, define data models, and determine appropriate model input strategies. Experience integrating AI/ML capabilities into existing software platforms or enterprise architectures. Strong communication skills with the ability to explain technical decisions, model tradeoffs, and solution implications clearly to a range of stakeholders. Experience with Amazon Web Services (AWS) for cloud‑based AI/ML deployment. Experience with MLOps tools and practices for deploying, monitoring, and managing machine learning models at scale. Preferred Qualifications Prior experience supporting intelligence, defense, or other classified environments . Experience working in cross‑functional engineering teams involving system engineering, software engineering, and mission‑focused stakeholders. Familiarity with secure operational environments and AI deployment within mission‑critical systems. Work Environment Onsite in Annapolis Junction, MD . 1–2 remote days per week may be allowed based on tasking and program needs. Equal Employment Opportunity At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. #J-18808-Ljbffr