Senior Systems Engineer

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Requirements:

• Five (5) or more years of professional experience in AI is preferred, but may accept experience in related fields (data science, machine learning) with a focus on federal contracting or government environments.
• Demonstrated success in developing and delivering RFI/RFP responses and other technical documentation for enterprise-scale solutions.
• Hands-on experience with frameworks and methodologies for responsible AI, data, and related governance, risk, and compliance topics.
• Strong understanding of AI, ML, and data best practices, capabilities, and market trends.
• Familiarity with federal acquisition processes and compliance requirements.
• Outstanding written and verbal communication skills, with an ability to translate complex technical concepts into clear, compelling narratives.
• Exceptional organizational skills and attention to detail, particularly in the context of large-scale documentation efforts.
• Strong interpersonal skills to build and maintain relationships with diverse stakeholders.
• Proven ability to work cross-functionally, managing competing priorities in a dynamic environment.

Responsibilities:

• Develop and execute strategies to support the AI & Data Portfolio and enterprise-wide objectives with effective RFI and RFP responses.
• Build and communicate a roadmap of planned deliverables for the upcoming fiscal year.
• Create comprehensive methodologies for responsible AI practices, data governance, AI capabilities, and ML implementation.
• Support the creation of high-quality documentation, including white papers, frameworks, and briefs that capture the portfolio’s capabilities and align with portfolio and enterprise strategic priorities.
• Develop reusable templates and content to streamline writing development.
• Collaborate within the portfolio and across other teams and portfolio areas to ensure cohesion across Digital Innovation Factory Solutions Engineering efforts.