Lead AI Engineer - Data Science and Algorithms

Maximus; Tysons (VA); Remote; USD 180,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Retirement savings plan

Paid holidays

Paid time off

Job summary

Maximus seeks a senior AI/ML leader to drive applied analytics across the enterprise. You will design and deliver AI-enabled applications that integrate models with data, cloud services, and existing systems. You will mentor teams and translate complex technical concepts for stakeholders of all levels.

Expect to own production-ready algorithms, experiment with emerging technologies, and promote best practices through playbooks and reusable components. Strong coding discipline is required.

Qualifications

• Bachelor's degree in a relevant field and 10+ years of experience.
• Extensive experience building and deploying production AI/ML solutions.
• Strong software engineering and algorithmic background.
• Ability to communicate complex technical decisions clearly.

Responsibilities

• Design, build, and improve production AI solutions.
• Own difficult technical problems from exploration to deployment.
• Write high-quality software and contribute to enterprise capabilities.
• Build AI-enabled apps that integrate models, data, cloud services, and APIs.
• Mentor staff through algorithm development and solution enhancements.
• Evaluate emerging AI tech and promote best practices.

Skills

Python

Algorithms

Machine learning

Data science

Cloud architectures

Communication

Mentoring

Education

Bachelor's degree

Tools

AWS

Azure

GCP

SageMaker

Jupyter

Job description

Essential Duties and 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.Job-Specific Essential Duties and Responsibilities:- Design, build, and improve production AI solutions.- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.- Write high-quality software and contribute directly to custom enterprise capabilities.- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.- Improve AI solutions by incorporating holistic algorithmic improvements.- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.- Build reusable components, libraries, patterns, and reference implementations that enable other teams to deliver AI-based capabilities.- Mentor other staff through solutioning of custom algorithms and solution enhancements.Minimum Requirements- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.Job-Specific Minimum Requirements:- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.- 7+ years of professional Data Science or advanced algorithm building experience.- 5+ years of experience designing or building solutions in cloud environments.- 3+ years of experience with artificial intelligence, machine learning, or related technologies.- Demonstrated experience developing algorithms including AI and machine learning algorithms.- Strong understanding of the application of mathematics, AI, and signal processing in production algorithms.- Experience designing and implementing algorithms on AWS, Azure, GCP, or similar cloud platforms.- Experience with deploying algorithms on production systems outside of notebooks (e.g. outside sagemaker, jupyter).- Experience building or integrating AI/ML capabilities into software systems.- Ability to communicate technical decisions, tradeoffs, and risks clearly with technical and non-technical colleagues.- US Citizen and able to obtain a Public Trust.Preferred Key Skills Qualification:- Deep expertise in Python, demonstrated through substantial production software rather than scripts, notebooks, or prototypes alone.- Proficiency in at least one systems programming language, such as Rust, Go, C++, or C, with experience applying it to real-world software engineering problems.- Experience building and operating distributed or cloud-native production systems.- Experience building algorithms with classical signal processing.- Experience building AI models from scratch- A track record of taking algorithms from initial development through production and ongoing operation.- Experience diagnosing complex production problems across application, infrastructure, data, and integration boundaries.- Practical experience building algorithmic solutions leveraging large language models, machine learning models, or managed AI services.- Experience working in environments where security, privacy, reliability, or regulatory requirements influence engineering decisions.- Experience improving existing systems where prior decisions limit your options.- Experience mentoring staff through collaboration, design reviews, and technical problem solving.#techjobs #Veteranspage #LI-RemoteEEO StatementMaximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.Pay TransparencyMaximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.AccommodationsMaximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at [e-mail] .Minimum Salary$180,000.00Maximum Salary$200,000.00