Vice President - Forward Deployed Engineer
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Job description
Experteer Overview As VP-Forward Deployed Engineer, you bridge investment strategy and AI engineering to deliver scalable, AI-enabled tools that enhance investment research and decision-making. You partner with portfolio management, research, and cross-functional teams to convert ideas into production AI solutions while maintaining governance and compliance. You drive prototypes to enterprise-ready capabilities, influencing the AI roadmap and delivering measurable impact in a regulated, client-focused environment. This role blends investment expertise with cutting-edge technology to accelerate insights and outcomes. Compensation / Benefits * Translate investment strategies and research priorities into AI-enabled solutions that improve outcomes and efficiency * Design and deliver proof-of-concept and production AI capabilities leveraging analytics and LLMs * Collaborate across Investments, Technology, Data, Risk, and Compliance to meet security, governance, and regulatory standards * Influence and advance the AI and investment tech roadmap by identifying high-value opportunities * Lead scaling of successful prototypes with engineering and platform teams for long-term value Tasks * 10+ years in investment management, quantitative research/strategy, and hands-on software or AI engineering * Experience working with trading desks, portfolio managers, or investment researchers; front-office exposure strongly preferred * Hands-on experience building and shipping LLM-enabled applications (RAG/embeddings, agentic workflows, prompt engineering, API integration) * Strong Python production-quality coding skills * Cloud infrastructure experience and modern software practices (CI/CD, version control, API design) * Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) to contribute to discussions * Track record delivering secure, auditable AI solutions in regulated environments with risk/compliance Key requirements * bonus potential * 401(k) * health insurance * dental insurance * life insurance * vacation and sick leave
Requirements
Fluency and advance the AI and investment tech roadmap by identifying high-value opportunities * Lead scaling of successful prototypes with engineering and platform teams for long-term value Tasks * 10+ years in investment management, quantitative research/strategy, and hands-on software or AI engineering * Experience working with trading desks, portfolio managers, or investment researchers; front-office exposure strongly preferred * Hands-on experience building and shipping LLM-enabled applications (RAG/embeddings, agentic workflows, prompt engineering, API integration) * Strong Python production-quality coding skills * Cloud infrastructure experience and modern software practices (CI/CD, version control, API design) * Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) to contribute to discussions * Track record delivering secure, auditable AI solutions in regulated environments with risk/compliance Key requirements * bonus potential * 401(k) * health aaa aaaaC_ * dental insurance * life insurance * vacation and sick leave
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