Corporate AI Engineer

Jobtailor; California (MO); On-site; USD 130,000 - 190,000; Full time

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

• Design, build, and deploy AI-enabled solutions aligned to prioritized use cases


• Implement AI workflows, integrations, and automations across enterprise platforms such as Microsoft 365, Salesforce, and ServiceNow


• Translate architectural designs and business requirements into working AI solutions, including prompt engineering, orchestration logic, and retrieval-augmented generation (RAG) patterns


• Integrate AI solutions with enterprise data sources and systems of record, ensuring data quality, accuracy, and appropriate access


• Own operational readiness, including monitoring, logging, performance tuning, and ongoing optimization


• Partner with Security, Privacy, and IT teams to meet enterprise governance, risk, and compliance requirements


• Develop and maintain technical documentation, runbooks, and reusable implementation patterns


• Partner with IT, Security, Data, and Business teams to move AI solutions from idea to pilot to measurable enterprise impact

Requirements

• 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

Core Competencies

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

Highest-signal resume keywords

• AI-Enabled Solutions Implementation


• Prompt Engineering


• Data Integration


• Enterprise Platform Experience


• Governance, Risk, and Compliance

Hard Skills

• Software Engineering


• Platform Engineering


• Data Engineering


• Application Management


• Generative AI Concepts


• API Integration


• Performance Tuning


• Monitoring and Logging


• Data Quality Assurance


• Automation

Industry Keywords

• Enterprise Environment


• AI Workflows


• Integrations


• Operational Readiness


• Technical Documentation

Tools & Technologies

• Microsoft 365


• Salesforce


• ServiceNow


• OpenAI


• Anthropic