[Remote] AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. Parsons Corporation is a provider of solutions for defense, security, intelligence, infrastructure, and environmental missions, including support for US government customers. The company is seeking an AI/ML Engineer to develop and deploy machine learning models, data pipelines, and secure cloud-based AI capabilities for chemical and biological threat characterization. The role also involves model monitoring, explainability, compliance, knowledge graph development, and collaboration across multidisciplinary Agile teams.

Responsibilities

• Design, develop, and deploy AI/ML models and tools for data mining, predictive modeling, and knowledge discovery to enhance chemical and biological threat characterization
• Build and optimize automated data pipelines for semantic/contextual chunking, named entity extraction, vector embedding, and relationship extraction
• Integrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIs and the Model Context Protocol (MCP)
• Develop and maintain model cards documenting model purpose, training data, performance metrics, limitations, and ethical considerations
• Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes available
• Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support the creation of knowledge graphs and enriched data products
• Ensure all AI/ML workflows comply with DoD cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments
• Develop tools and dashboards for model explainability, transparency, and user interaction with AI/ML outputs
• Participate in Agile sprints, contribute to backlog refinement, and support documentation for AI/ML components
• Assist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usage

Skills

• Active Secret or higher security clearance
• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field
• 3-8 years of experience developing and deploying AI/ML models in production or enterprise environments
• Proficiency with AI/ML frameworks and libraries (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch)
• Experience building and maintaining data pipelines for machine learning, including data preprocessing, feature engineering, and model deployment
• Strong programming skills in Python or similar languages
• Experience with cloud platforms (e.g., AWS, Azure) and cloud-native AI/ML services
• Familiarity with RESTful APIs and integrating AI/ML models into larger software systems
• Understanding of data security, privacy, and access control best practices
• Experience working in Agile development environments and collaborating with multidisciplinary teams
• Strong analytical, problem-solving, and communication skills
• Master's degree in Data Science, Machine Learning, or a related field
• Experience with large language models (LLMs), vector/semantic search, and advanced NLP techniques
• Familiarity with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF)
• Experience developing AI/ML solutions for knowledge graph construction and ontology-based reasoning
• Experience with model explainability, bias detection, and ethical AI practices
• Experience with containerization (Docker, Kubernetes) and secure model deployment
• Experience integrating AI/ML solutions in classified environments (e.g., SIPR, JWICS)
• Prior experience supporting government or defense-related AI/ML projects

Benefits

• Medical
• Dental
• Vision
• Paid time off
• Employee Stock Ownership Plan (ESOP)
• 401(k)
• Life insurance
• Flexible work schedules
• Holidays
• Endless growth opportunities

Company Overview