skillfactor-pipeline/docs/qa/animal-artificial-insemination-technician-sample.md

QA sample — animal-artificial-insemination-technician

1 of 68 records (2%). Judge each extraction against QUALITY_BAR.md 'Extraction quality': faithful, no invented items, plausible seniority.

AI Platform & Enablement Engineer (us)

Ad (first 2000 chars):

As a member of Mutual of Omaha’s AI Operations team, you will partner with application development teams across the company to enable generative AI capabilities within enterprise applications. Our team sits at the intersection of AI Governance and GenAI Enablement, helping teams move quickly while ensuring AI solutions are secure, compliant, scalable, and aligned to enterprise guardrails. As an AI Enablement Engineer - AI Operations, your primary focus will be on building the technical foundations, reusable patterns, and engineering controls that allow application teams to safely adopt AWS Bedrock and related GenAI capabilities. This role is for someone who can speak the language of software developers, understands modern cloud-native application architecture, and has strong interest and hands-on experience with generative AI enablement using AWS. If you are a full stack engineer with strong cloud engineering skills, experience building enterprise application patterns, and enthusiasm for helping developers safely move GenAI into production, this could be the right opportunity for you.

WHAT WE CAN OFFER YOU:

Estimated Salary: $130,000 - $155,000, plus annual bonus opportunity. 401(k) plan with a 2% company contribution and 6% company match. Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details. Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

Build and mature foundational patterns for enterprise use of AWS Bedrock within broader business applications. Create and publish reference architectures, reusable integration patterns, and developer guidance for GenAI use cases. Design and implement governance-as-code and compliance-as-code controls to support responsible AI adoption at scale. Develop reusable guardrails, policy-aligned templates, and automation that help teams stay within approved enterprise standards. Enable secure and scal

Extraction:

{
 "hard_skills": [
  "software engineering",
  "cloud-native application development",
  "api development",
  "infrastructure automation",
  "data aggregation",
  "technical documentation",
  "governance implementation"
 ],
 "tools": [
  "AWS Bedrock",
  "AWS CDK",
  "CloudFormation",
  "AWS"
 ],
 "methods": [
  "infrastructure-as-code",
  "compliance-as-code",
  "governance-as-code"
 ],
 "responsibilities": [
  "pattern building",
  "reference architecture creation",
  "developer guidance publishing",
  "enterprise enablement",
  "solution implementation",
  "data collection",
  "automation development"
 ],
 "qualifications": [
  "hands-on software engineering experience",
  "aws cloud experience"
 ],
 "soft_skills": [
  "problem-solving",
  "collaboration",
  "communication"
 ],
 "seniority": "mid"
}

Mechanical issues: tools: shouting 'AWS CDK'