Artificial Intelligence & Machine Learning Engineer (Senior Consultant)

Fearless is a digital integration consultancy that combines technology, people, and organizational development to solve meaningful problems. The Senior Consultant will design and support AI-driven solutions, develop AI agents and machine learning models, build scalable data pipelines, and translate complex AI and data concepts into actionable solutions for government stakeholders.

Responsibilities:

• Design, implement, and support AI-driven solutions for high-priority federal civilian government initiatives, focused on improving data accessibility, analysis, and policy outcomes
• Develop and configure AI agents using Retrieval-Augmented Generation (RAG) architectures to enable accurate, scalable, and explainable AI capabilities
• Fine-tune and optimize AI/ML models, with preference for experience leveraging RAFT or similar advanced fine-tuning techniques
• Build, maintain, and optimize large-scale data pipelines and data processing systems using Go, ensuring high performance, reliability, and scalability in data-intensive environments
• Collaborate with cross-functional teams to manage and process massive datasets that support analytics, AI models, and downstream applications
• Serve as a technical bridge between AI capabilities and stakeholder needs by translating complex technical concepts into clear, actionable solutions for non-technical and policy-focused audiences
• Partner with government stakeholders to understand mission goals and guide the practical application of AI and data solutions
• Leverage cloud-based platforms such as Databricks and/or AWS to support data engineering, model training, and deployment workflows
• Support ML lifecycle management and CI/CD processes for models, including experiment tracking and versioning using tools such as MLflow

Requirements:

• • Three (3) or more years of related experience
• • Ability to obtain and maintain a public trust clearance
• • AI/ML engineering with experience implementing Retrieval-Augmented Generation (RAG) and AI agents
• • Model fine-tuning expertise (e.g., RAFT or comparable techniques)
• • Strong programming skills in Python and Go
• • Large-scale data pipeline design and high-performance data processing
• • Experience working with massive datasets in production environments
• • Cloud platforms: Databricks and/or AWS
• • ML lifecycle management and CI/CD using tools such as MLflow
• • Ability to translate complex AI and data concepts into actionable solutions for non-technical stakeholders
• • Ability to sit for extended periods while working on a computer or during meetings
• • Must be able to travel occasionally to client sites or company meetings
• • Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills
• • Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds)
• • Fine-tune and optimize AI/ML models, with preference for experience leveraging RAFT or similar advanced fine-tuning techniques