About The Position

"Navitas Partners, LLC" is seeking a highly skilled Senior AWS AI Engineer to support the design, development, and deployment of AI-driven web applications using leading Large Language Models (LLMs) within secure Amazon Bedrock environments. This role focuses on building responsible, human-centered AI solutions in a highly regulated environment, with a strong emphasis on data security, transparency, and scalability. The ideal candidate will bring hands-on AI engineering expertise, deep AWS knowledge, and the ability to collaborate effectively with technical and non-technical stakeholders.

Requirements

  • 3–5 years of experience in application development and AI/ML implementation
  • 2+ years of hands-on experience with Amazon Bedrock and related AWS services
  • Strong understanding of AI/ML frameworks, model deployment, and optimization
  • Proven experience integrating AI solutions into complex enterprise systems
  • Proficiency in React and TypeScript for building AI-powered user interfaces
  • Experience designing intuitive and user-friendly UI/UX for AI applications
  • Hands-on experience with cloud-based version control and CI/CD pipelines
  • Bachelor’s degree in Computer Science or a related technical field

Nice To Haves

  • Experience supporting public sector or government initiatives
  • Familiarity with compliance requirements and security standards in regulated environments
  • AWS AI Cloud Practitioner or related AWS certifications
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical audiences
  • Ability to work both independently and collaboratively in a fast-paced environment

Responsibilities

  • Lead AI engineering initiatives with full ownership of solution design and delivery
  • Design, develop, test, and deploy AI solutions using Amazon Bedrock and AWS services
  • Advocate for technical integrity, responsible AI practices, and transparency throughout development
  • Collaborate with cross-functional teams to gather requirements and deliver impactful solutions
  • Identify and implement opportunities to integrate AI into existing applications and workflows
  • Ensure best practices in model deployment, monitoring, and ongoing maintenance
  • Produce technical documentation and AI Center of Excellence (COE) artifacts to support knowledge transfer and audit requirements
  • Participate in collaborative development using version control systems and CI/CD pipelines
  • Engage directly with stakeholders to align technical solutions with business needs
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