Artificial Intelligence & Machine Learning Engineer (Senior Consultant)

Fearless is seeking an Artificial Intelligence and Machine Learning Engineer at the Senior Consultant level to support high-priority federal civilian government initiatives. The role focuses on developing AI agents, fine-tuning models, building high-performance data pipelines, supporting cloud-based ML workflows, and translating technical capabilities into actionable solutions for government stakeholders.

Responsibilities:

• 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
• 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
• 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:

• 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 & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making
• Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction
• 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
• 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)
• Model fine-tuning expertise (e.g., RAFT or comparable techniques)