Enterprise AI Engineer: AI Workflows & Integrations

Jobtailor

California (MO)

On-site

USD 130,000 - 190,000

Full time

3 days ago
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Job summary

Jobtailor seeks an experienced professional to design, build, and deploy AI-enabled solutions across enterprise platforms. The role focuses on translating business requirements into AI implementations, integrating workflows across Microsoft 365, Salesforce, and ServiceNow, and ensuring robust operational readiness with monitoring and governance in mind.

The candidate should have hands-on AI experience, emphasize data quality and security, and collaborate with IT, Security, and Data teams to

Qualifications

  • 4+ years of experience in software engineering, platform engineering, data engineering, application management, or a similar hands‑on technical role
  • Demonstrated experience building, integrating, or operating production systems in an enterprise environment
  • Hands‑on experience implementing AI-enabled solutions, including generative AI concepts such as prompt engineering, embeddings, or RAG, with AI technologies from OpenAI, Anthropic, ServiceNow, Microsoft, etc.
  • Experience working with APIs, integrations, MCPs, and enterprise SaaS platforms
  • Working knowledge of AI-related risks, including data security, privacy, model limitations, and cost considerations

Responsibilities

  • Demonstrates expertise in designing and deploying AI-enabled solutions, integrating with enterprise platforms, and ensuring operational readiness while adhering to governance and compliance standards.

Skills

Software Engineering
Platform Engineering
Data Engineering
API Integration
Generative AI Concepts

Tools

Microsoft 365
Salesforce
ServiceNow
OpenAI
Anthropic

Job description

Jobtailor seeks an experienced professional to design, build, and deploy AI-enabled solutions across enterprise platforms. The role focuses on translating business requirements into AI implementations, integrating workflows across Microsoft 365, Salesforce, and ServiceNow, and ensuring robust operational readiness with monitoring and governance in mind.

The candidate should have hands-on AI experience, emphasize data quality and security, and collaborate with IT, Security, and Data teams to

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