Senior AI/ML Software Engineer

Maximus is a company focused on supporting federal agency clients through innovative technology solutions. They are seeking a Senior AI Software Engineer to design, develop, and implement machine learning solutions while leading AI initiatives and collaborating with cross-functional teams.

Responsibilities:

• Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. Lead the use of applied mathematical analyses to provide solutions
• Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations
• Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner
• Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments
• Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital
• Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality
• Demonstrated knowledge in designing, building, testing, and deploying machine models
• Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance
• Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed
• Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability
• Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization
• Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts
• Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models
• Evaluate and adopt emerging AI tools, frameworks, and methodologies to improve system performance and development efficiency
• Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions
• Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements

Requirements:

• Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience
• 10+ years of professional software engineering experience, with proficiency in one or more programming languages such as Java, Python, or R
• 2+ years of current hands-on experience in areas such as data mining, machine learning, deep learning (neural networks), data structures, algorithms, statistics, and AI model training
• Practical experience working with Python, PyTorch, TensorFlow, and related frameworks and libraries
• Experience with at least one large language model (LLM) platform such as ChatGPT, Gemini, or Meta LLMs, with a solid understanding of OpenAI APIs and their integration
• Strong verbal and written communication skills
• Demonstrated success in client support
• Ability to interface with all levels of management
• Ability to perform complex tasks with minimal supervision and guidance
• Excellent time management, scheduling and organizational skills
• Ability to work well independently or in a team setting
• Candidates must meet requirements to obtain and maintain a federal background investigation clearance
• To be eligible for the federal background clearance, candidates must be a US Citizen or a Legal Permanent Resident (Green Card status) for at least three (3) years
• Bachelor's degree in computer science is strongly preferred; however, additional years of directly related professional experience may be considered in lieu of a degree
• Degrees in Mathematics, Artificial Intelligence, Data Science, or related fields are also acceptable
• Preferred certifications include AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or IBM Machine Learning Professional Certificate