Lead AI/ML Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI/ML Engineer based in the United States.

• Lead technical evaluations of emerging AI and machine learning technologies through prototypes, proof-of-concepts, experimentation, and comparative assessments.
• Analyze the benefits, limitations, tradeoffs, implementation considerations, and risks of emerging technologies and communicate findings to technical and business stakeholders.
• Design, develop, test, and deploy production-ready AI/ML applications within AWS cloud environments.
• Build, train, evaluate, and optimize machine learning models for enterprise and mission-critical use cases.
• Support AI/ML application development across engineering, operations, security, and other cloud-native disciplines.
• Drive adoption of modern AI technologies, engineering practices, and scalable approaches across enterprise environments.
• Collaborate directly with federal clients and multidisciplinary engineering teams to understand requirements and deliver high-impact technical solutions.
• Present technical findings, experiment results, architecture recommendations, and implementation strategies to clients, executive stakeholders, and internal leadership.
• Provide technical leadership and mentorship to software and machine learning engineers, helping strengthen engineering capabilities and professional development.
• Contribute across multiple projects, rapidly assessing new technologies and determining how they can be applied to solve real-world challenges.
• Support the development and adoption of MLOps, CI/CD, containerization, DevSecOps, and secure software engineering practices where appropriate.

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline, or equivalent professional experience.
• 7–10 years of professional experience in software engineering, cloud engineering, or a closely related technical field.
• At least 3 years of experience deploying production enterprise applications in AWS environments.
• At least 2 years of experience deploying production AI/ML applications within enterprise environments.
• Strong Python programming skills and hands-on experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with AI/ML platforms and services such as Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or comparable technologies.
• Strong experience with data analysis and manipulation using pandas, as well as experiment visualization and presentation using tools such as matplotlib.
• Strong analytical, problem-solving, and technical communication skills, with the ability to explain complex AI/ML concepts to both technical and executive audiences.
• Ability to quickly learn emerging technologies and contribute effectively across multiple projects and technical domains.
• Experience leading, managing, or mentoring engineering or ML teams is highly desirable.
• Experience with LLMs, generative AI, retrieval-augmented generation (RAG), AI agents, MLOps, Docker, Kubernetes, CI/CD, DevSecOps, or secure software development is a strong advantage.
• Experience supporting federal, regulated, or mission-critical environments is beneficial.
• Applicants must be U.S. Citizens and able to obtain a Public Trust clearance.

• Annual salary range of $180,000–$230,000 USD, with final compensation based on experience, education, skills, and other relevant factors.
• Eligibility for an annual discretionary bonus and performance-based incentive opportunities.
• Remote work environment, with hybrid arrangements specified where applicable.
• Medical, dental, and vision insurance.
• Life insurance and short- and long-term disability coverage.
• Employee Assistance Program.
• 401(k) plan with 4% company matching.
• Liberal paid time off and vacation policy.
• Generous annual continuing education support.
• Annual wellness budget.
• Employee referral and performance-based bonus programs.
• Opportunity to work on meaningful AI/ML initiatives supporting high-impact federal missions.
• Collaborative environment with opportunities for technical leadership, mentorship, and professional growth.