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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, metro AI prompt role with 5+ years and broad skills causes moderate applicant competition.
Specialized LLM/cloud AI and regulated enterprise integration skills reduce transferability across industries.
Mandatory 5+ years, production delivery, and specific cloud AI plus security requirements enforce strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and hands-on implementation of enterprise AI and Agentic AI solutions from discovery to production.
Own and manage integrations across CRM, data platforms, and enterprise identity systems.
Establish CI/CD pipelines, observability, security controls, and enable knowledge transfer for operational teams.
Minimum Requirements
5+ years of engineering or consulting experience in enterprise systems with at least two production deployments.
Hands-on experience with Azure AI, AWS Bedrock, Google Gemini Enterprise, OpenAI, or Anthropic.
Strong knowledge of security, identity, data governance, and CI/CD in regulated environments.
Work Experience Required: 5+ years engineering/consulting in enterprise systems.
Ideal Candidate Profile
Experienced in delivering complex production-grade AI systems within enterprise environments.
Technically proficient with major cloud AI platforms and enterprise integrations.
Skilled in implementing secure, compliant, and maintainable AI solutions with strong operational controls.