About The Position

"Navitas Partners, LLC" is seeking an experienced AWS AI Engineer to join an AI Engineering team responsible for building secure, custom web applications leveraging leading large language models (LLMs) within Amazon Bedrock environments. This role focuses on delivering responsible, human-centered AI solutions that streamline business processes and provide measurable value within a highly regulated setting. The ideal candidate brings strong hands-on expertise in AI/ML development, AWS services, and modern front-end technologies, along with an appreciation for data security, compliance, and scalable system design.

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 AI services
  • Strong understanding of AI/ML frameworks, model deployment, and optimization techniques
  • Proven experience integrating AI solutions into complex enterprise systems
  • Proficiency in React and TypeScript for building AI-powered user interfaces
  • Experience designing intuitive, user-centered UI/UX for AI-driven applications
  • Familiarity with cloud-based version control systems and CI/CD pipelines
  • Bachelor’s degree in Computer Science or a related field

Nice To Haves

  • Experience supporting public sector or government initiatives
  • Familiarity with regulatory, compliance, and security standards
  • 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 technical concepts to non-technical stakeholders
  • Ability to work both independently and collaboratively in a fast-paced environment

Responsibilities

  • Design, develop, test, and deploy AI solutions using Amazon Bedrock and related AWS services
  • Identify and implement opportunities to integrate AI into existing applications and workflows
  • Collaborate with cross-functional teams to gather, document, and translate business requirements into technical solutions
  • Apply best practices for model deployment, monitoring, optimization, and lifecycle management
  • Develop and maintain technical documentation, AI Center of Excellence (COE) artifacts, and knowledge-transfer materials
  • Support audit readiness and compliance through clear documentation and secure design practices
  • Participate in collaborative development using cloud-based version control and CI/CD pipelines
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