Principal Applied AI Engineer - Internal Tools

7 hours, 23 minutes ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Poppulo

Poppulo

Poppulo specializes in enhancing customer and employee communications through its omni-channel solutions, including email, digital signage, and mobile apps, while providing expert advisory services to transform internal communications and foster more c...

Professional Services
251-1K
Founded 2005
$34M raised

Description

  • Define technical direction and implementation standards for internal AI solutions to ensure secure and scalable adoption.
  • Provide technical leadership by evaluating solution approaches and guiding AI-related technical decisions.
  • Lead the design and deployment of GPT assistants, AI agents, integrations, and automated workflows.
  • Implement technical controls, monitoring, and safeguards for AI-enabled systems.
  • Develop integrations between AI systems and enterprise platforms, internal tools, knowledge bases, and business applications.
  • Partner with business teams to identify and deliver high-value AI use cases.
  • Work with Security, Privacy, and Legal teams to ensure solutions meet internal policies, compliance requirements, and regulatory standards.
  • Collaborate with IT, Engineering, and DevOps teams to ensure solutions are reliable, secure, and scalable.
  • Advise the CISO and business leaders on AI capabilities and risks.
  • Foster cross-functional collaboration and encourage experimentation with appropriate safeguards.

Requirements

  • 8+ years of experience in AI engineering or machine learning engineering.
  • Hands-on experience designing AI security controls and guardrails, including mitigation of prompt injection and data exfiltration risks.
  • Experience with output validation, monitoring, and access control for AI systems.
  • Experience designing and deploying AI assistants, GPT-based tools, or agent-driven workflows integrated with enterprise systems or internal data.
  • Strong experience securing and integrating APIs, MCP, automation frameworks, and enterprise systems.
  • Experience with AI model platforms or APIs such as OpenAI, Anthropic, AWS Bedrock, and Azure OpenAI, or similar technologies.
  • Experience building systems within cloud environments such as AWS, Azure, or GCP.
  • Ability to translate business requirements into scalable AI solutions while balancing speed, security, reliability, and operational needs.

Interested in this position?

Apply directly on the company website

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