Principal AI Systems Engineer

Description & Requirements

We now have an exciting opportunity for a Principal AI Systems Engineer to join the Maximus AI Accelerator supporting the enterprise at large.

We are looking for an accomplished hands-on technical leader and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using ModelOps best practices, ensuring systems are resilient, compliant, and efficient.

This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments.

Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work) in addition to managing and expanding our AI Accelerator portfolio and capabilities.

Essential Duties and Responsibilities:
- 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.

What You Will Do:

- 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 ...