Artificial Intelligence & Machine Learning Engineer (Senior Consultant)

Job Requirements

Position Summary: At Fearless, this Artificial Intelligence & Machine Learning Engineer (Senior Consultant) collaborates with cross-functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations. This role will possess the skills to bridge business objectives with technical execution across software development, infrastructure, security, and testing at an advanced application-level of proficiency. The Sr. Consultant role will work on projects to ensure scalable, secure, and reliable solutions, while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals.

The Impact You Will Create

This project delivers high-performance AI and data solutions that enable federal civilian agencies to manage and analyze massive datasets in support of people-centered policy and decision-making. By implementing advanced AI agents and scalable cloud-based data pipelines, the effort translates complex AI capabilities into reliable, mission-driven outcomes at the speed and scale required for high-priority government initiatives.

• Deliver expected outcomes relative to high-quality code and maintainable systems
• Offer and implement innovative solutions that include engineering best practices through new tools, frameworks, and methodologies
• Lead and align stakeholders with product and project goals that advance customer satisfaction as well as Fearless’ objectives, strategy, and mission
• Serve as a trusted advisor in your area of expertise

Fearless Impact

• Fosters collaboration with cross-functional teams by taking the initiative and driving conversations
• Coach, mentor, and develop peers that elevate team capability and technical expertise using clear and persuasive communication of engineering solutions to both technical and non-technical audiences
• Earn the trust of your customers and teammates by delivering world-class services.
• Drive accountability and delivery by ensuring project objectives are not only met on time but aligned with client priorities and Fearless standards of excellence. Anticipate risks and implement proactive solutions to keep initiatives on track.
• Take ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed.
• Shape client engagement and intelligence-gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes.

Your Responsibilities In This Role

• 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.

Work Experience

Skills and Qualifications We Require at Fearless:

At Fearless, we seek candidates who blend technical know-how with sharp problem-solving and advisory skills to drive real impact in the communities we serve. Here are the key qualifications for this role.

• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions.
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole.
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
• Ownership & Accoun