AVP, AI Engineer, Innovation

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{
  "lists": [
    {
      "text": "Responsibilities: ",
      "content": "<div>\n<p><strong>AI/ML Development &amp; Deployment</strong></p>\n<ul type=\"disc\">\n<li>Design, develop, and deploy production-grade machine learning models to further enhance decision making</li>\n<li>Build and maintain Retrieval-Augmented Generation (RAG) architectures, agentic AI workflows, and multi-model orchestration pipelines to surface insights from structured and unstructured data</li>\n<li>Develop AI tools that translate model outputs into human-readable insights</li>\n\n<p><strong>Data Engineering &amp; Infrastructure</strong></p>\n<ul type=\"disc\">\n<li>Build and optimize data pipelines to ingest, clean, and structure proprietary datasets across the Firm's investment portfolio</li>\n<li>Work within secure infrastructure to deploy scalable, secure AI solutions</li>\n<li>Integrate AI models with existing Firm systems, databases, and reporting workflows</li>\n\n<p><strong>Cross-Functional Collaboration</strong></p>\n<ul type=\"disc\">\n<li>Partner with investment, asset management, portfolio management, and Impact teams to identify AI use cases and translate business needs into technical solutions</li>\n<li>Facilitate innovation workshops, design thinking sessions, and prototype demonstrations for senior leadership</li>\n<li>Expand existing relationships with external partners, startups, and research institutions as appropriate to advance the Firm's AI capabilities</li>\n\n<p><strong>Responsible AI &amp; Governance</strong></p>\n<ul type=\"disc\">\n<li>Ensure all AI systems are designed with human-in-the-loop principles</li>\n<li>Adhere to the Firm's AI Policy, including data access controls, bias mitigation, explainability standards, and regulatory compliance</li>\n<li>Build guardrails around AI scope, data access, and output reliability</li>\n\n</ul></ul></ul></ul></div>"
    },
    {
      "text": "Requirements:",
      "content": "<div>\n<ul type=\"disc\">\n<li>Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or a related quantitative field</li>\n<li>3–7 years of professional experience in AI/ML engineering or a closely related role</li>\n<li>Hands-on experience with LLMs and Generative AI, including RAG, prompt engineering, embeddings, fine-tuning, and agentic frameworks</li>\n<li>Experience with cloud platforms</li>\n<li>Strong data engineering skills</li>\n<li>Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders</li>\n\n<p><strong>Preferred</strong></p>\n<ul type=\"disc\">\n<li>Master's degree or PhD in a relevant field</li>\n<li>Prior experience in financial services, investment management, or real estate understanding of deal execution, due diligence, underwriting, and portfolio analytics</li>\n<li>Experience building and deploying AI systems in regulated environments</li>\n\n<p><strong>Competencies</strong></p>\n<ul type=\"disc\">\n<li>Translational Thinking &nbsp;- Ability to bridge AI capabilities and investment decision-making, making models actionable</li>\n<li>Human-Centered Design - Commitment to building AI systems that augment rather than replace human judgment</li>\n<li>Intellectual Curiosity - Passion for staying current with emerging AI technologies, industry trends, and competitive developments</li>\n<li>Ownership &amp; Execution - Ability to lead projects from concept through production with minimal supervision</li>\n\n</ul></ul></ul></div>"
    }
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    "team": "Impact",
    "location": "Chicago,  IL",
    "commitment": "Full-Time",
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