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Niche AI-automation skills reduce pool, but mid-level seniority and general AI interest increase competition.
Core AI and automation skills transferable, but clinical-compliance and enterprise tooling increase domain specificity.
Multiple explicit requirements: 5+ years, LLM experience, JavaScript/Python/Groovy, enterprise security and automation.
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Operate in dual modes: embed with Subject Matter Experts to understand and redesign workflows with AI-first solutions, and lead or contribute to small delivery squads for rapid AI-driven automation deployment.
Design, prototype, and deliver custom AI tools and automations integrated with enterprise systems, ensuring solutions comply with infrastructure, security, and data standards.
Drive measurable business impact by transforming workflows permanently and coaching business users to adopt AI tools at every task.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
5+ years experience in enterprise automation, software development, or IT engineering.
Proficiency in JavaScript/TypeScript and Python; experience with REST API/webhook integrations and cloud platforms (AWS, Azure, or GCP).
2+ years experience building with modern AI toolkits including LLM APIs, MCP, AI coding assistants, and production eval harnesses.
Experienced in working closely with practitioners to discover and redesign real workflows including undocumented knowledge and edge cases.
Comfortable in small, agile delivery teams with ability to lead or contribute under time pressure and deliver clear technical and business communications.
Skilled in building enterprise-grade secure, scalable automation solutions compliant with SOC 2 and ISO 27001, with mentoring ability for both business and junior engineers.