Senior Director, AI Systems Engineering

Essential Duties and Responsibilities:

- Responsible for leading the AI & Data Accelerators enterprise portfolio, managing engagements in terms of scope, deliverables, budget, and enterprise commitments.

- Develop end-to-end process improvement strategy and manage execution of strategy and operational direction.

- Responsible for managing a portfolio of work related to various AI solutions in support of the AI Strategy working with stakeholders across Maximus.

- Interact with internal stakeholders both within and outside of immediate team to achieve results and drive and execution vision and goals of the team.

- Develop detailed project schedules coordinating multiple parties to deliver projects on time or early and at or under budget.

- Responsible for professional development by providing coaching and identifying new opportunities for growth for direct reports.

- Monitor performance of team members according to established monitoring standards; conduct performance appraisals, make decisions on personnel actions including hiring, firing and disciplinary actions. Job-Specific Essential Duties and Requirements:

- Implement strategic goals established by leadership; lead, develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise; determine the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Lead large, complex, and cross-functional 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.
Drive innovation and continuous improvement.

- Act as principal technical translator, subject matter expert, 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 authoritative knowledge of the evolving AI technology landscape, evaluating emerging technologies and their applicability for use in production/operational environments.

- Lead the development and dissemination of enterprise knowledge assets through the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
Mentor and coach technical staff across the organization, fostering a culture of excellence, collaboration, and continuous learning.

Minimum Requirements - Bachelor's degree in relevant field of study.

-12+ years of relevant professional experience required. Job-Specific

Minimum Requirements:

- Bachelor's degree in relevant field of study and 12+ years of relevant professional experience required.

- Demonstrated understanding of Responsible AI practices to address ethical, legal, and societal implications of the use of AI in general and for specific mission problems/use cases.

- Proven experience evaluating and proposing AI/ML approaches and solutions associated with mission problem scenarios (to include use of vendor solutions/hardware, open source, and custom development).

- Expertise in Software Engineering, Dev Ops, and modern development.
technologies and methodologies.

- Expertise in AWS, Azure, and/or GCP.

- US Citizen, and willing to be cleared Years of Required Work-Related

Experience:

- 3+ years experience in Artificial Intelligence and Machine Learning operations.

- 12+ years experience with Software Engineering.

- 5+ years experience with Cloud Solutioning.

- 5+ years leading cross-functional technology solutioning efforts. Preferred Skills and

Qualifications:

- Experience leading solution development teams:

- Ability to recruit, manage, and mentor technologists and AI/ML practitioners fostering a cultural of collaboration and learning.

- Agile environment team leadership experience (to include prioritization, backlog refinement, Agile planning, and ceremonies).

- Manage and teach the ability to contribute to and/or collaborate on analytics products using version control systems, including Git Hub or Gitlab.

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