AI/ML Solution Architect

1 week ago


Frederick, Maryland, United States Randstad Full time
Job Summary

Randstad Federal is seeking an experienced AI/ML Solution Architect to lead the design and implementation of our advanced AI-driven enterprise platform.

Key Responsibilities
  • Design and oversee the overall architecture of our AI-enhanced enterprise platform, ensuring scalability, efficiency, and compliance with federal requirements.
  • Lead the integration of AI and Large Language Model (LLM) tools to optimize platform functionality and user experience.
  • Collaborate with cross-functional teams to embed AI capabilities within the interface, including AI-generated call notes, assistor bots, and contextual data retrieval.
  • Develop strategies for automating repetitive tasks and data entry using AI technologies to improve efficiency and accuracy.
  • Work with the Enterprise Security Audit Trails team to incorporate robust logging and monitoring capabilities into the integration.
  • Partner with stakeholders to align new processing systems with the approved design of the client enterprise architecture model.
  • Guide the design of a "single pane of glass" interface that integrates all identified use cases and supports seamless data flow.
  • Collaborate with Ethics/AI Governance SMEs to ensure responsible and compliant use of AI technologies.
  • Provide technical leadership and mentorship to development teams, including Data Scientists, ML Engineers, and Full Stack Developers.
Requirements
  • Extensive experience in solution architecture, with a strong focus on AI and machine learning technologies.
  • Proven track record of designing and implementing large-scale, enterprise-level AI systems.
  • Deep understanding of AI integration, including natural language processing, machine learning, and large language models.
  • Experience with low code/no code development platforms and their integration with AI technologies.
  • Strong knowledge of data architecture, API design, and system integration principles.
  • Familiarity with federal compliance requirements for AI systems and cybersecurity standards.
  • Proficiency in Agile methodologies and experience leading cross-functional teams.
  • Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience with Java, RESTful services, and cloud-based AI/ML platforms.

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