Job Description:

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.

What You'll Be Doing:

• Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.
• Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.
• Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.
• Develops and maintains data pipelines, feature engineering processes, and model training workflows.
• Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
• Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.
• Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.
• Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
• Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.
• Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.
• Documents model architecture, assumptions, performance metrics, and deployment procedures.
• Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.
• Performs other responsibilities associated with this position as may be appropriate.

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​What Required Skills You'll Bring:

• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.
• 8+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.
• Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.
• Experience developing and deploying machine learning models in production environments.
• Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.
• Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.
• Experience working with structured and unstructured data sources and large-scale datasets.
• Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to work effectively under pressure and manage multiple priorities.
• Advanced written and verbal communication skills.
• Proficiency in Microsoft Office applications.
• Advanced time management and organizational skills.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Must be a US Citizen

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What Desired Skills You'll Bring:

• Experience deploying AI/ML solutions in enterprise or production environments preferred.
• AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.
• Generative AI, LLM, or MLOps certifications preferred.
• A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:

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