Senior Vice President, Head of AI
About Eleven Recruiting
We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.
Our client, an investment firm, is seeking a Senior Vice President, Head of AI to join their team in Los Angeles, CA!
Responsibilities:
• Build and lead a high performing team responsible for the end-to-end AI engineering pipeline - from data preprocessing and modeling to API integration and production deployment.
• Architect scalable infrastructure to support rapid experimentation and delivery of production-ready AI systems.
• Lead the application of advanced techniques such as foundation models, retrieval- augmented generation (RAG), and agentic systems.
• Drive cross-functional alignment on AI strategies that support company objectives and raise the bar on our machine learning capabilities and technical stack.
• Balance deep technical exploration with clear product goals, collaborating with engineers, designers, and product managers to prioritize and define impactful solutions.
• Champion a culture of experimentation, ownership, and continuous learning; mentor team members across AI and adjacent domains.
• Stay current on trends in Generative AI and proactively identify opportunities to apply these innovations to real-world challenges.
• Promote best practices in scalability, reliability, operational excellence, and cost efficiency across AI systems.
Qualifications:
• Bachelor's degree in computer science, Mathematics, Statistics, or a related technical field - or equivalent professional experience.
• 10+ years of experience in software and/or AI engineering, including 5+ years focused on machine learning and AI systems.
• 2+ years of experience in technical leadership or as the go-to AI/ML expert within a technical organization.
• Experience in building, leading, and providing direction / guidance to a team that focuses on Generative AI and machine learning technologies.
• Proven track record of building and deploying Generative AI systems that deliver measurable business value.
• Strong command of modern ML/DL techniques, including model development, fine-tuning, evaluation, and productionization.
• Expertise in Python and frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, Glean, and related tools.
• Experience with large language models (e.g., GPT-4, Claude, Mistral) and model fine- tuning / building RAG pipelines.
• Experience building Agentic AI platforms using technologies such as N8N, LangFlow, LangGraph.
• Ability to operate in ambiguity and lead complex initiatives from concept through delivery in fast-paced environments.
• Strong product sense with experience gathering user requirements, defining roadmaps, and prioritizing trade-offs.
• Familiarity with Agile methodologies and tools like Confluence and JIRA.
• Interest in fostering strong team culture and "vibe engineering."
Nice to Have:
• Advanced degree (MS/PhD) in Machine Learning or a related discipline.
• Contributions to peer-reviewed AI research or publications.
• Experience in financial services, particularly credit markets; CFA or CAI plus.
• Solid foundation in software engineering best practices, system design, and architecture.
Apply tot his job
Apply To this Job
We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.
Our client, an investment firm, is seeking a Senior Vice President, Head of AI to join their team in Los Angeles, CA!
Responsibilities:
• Build and lead a high performing team responsible for the end-to-end AI engineering pipeline - from data preprocessing and modeling to API integration and production deployment.
• Architect scalable infrastructure to support rapid experimentation and delivery of production-ready AI systems.
• Lead the application of advanced techniques such as foundation models, retrieval- augmented generation (RAG), and agentic systems.
• Drive cross-functional alignment on AI strategies that support company objectives and raise the bar on our machine learning capabilities and technical stack.
• Balance deep technical exploration with clear product goals, collaborating with engineers, designers, and product managers to prioritize and define impactful solutions.
• Champion a culture of experimentation, ownership, and continuous learning; mentor team members across AI and adjacent domains.
• Stay current on trends in Generative AI and proactively identify opportunities to apply these innovations to real-world challenges.
• Promote best practices in scalability, reliability, operational excellence, and cost efficiency across AI systems.
Qualifications:
• Bachelor's degree in computer science, Mathematics, Statistics, or a related technical field - or equivalent professional experience.
• 10+ years of experience in software and/or AI engineering, including 5+ years focused on machine learning and AI systems.
• 2+ years of experience in technical leadership or as the go-to AI/ML expert within a technical organization.
• Experience in building, leading, and providing direction / guidance to a team that focuses on Generative AI and machine learning technologies.
• Proven track record of building and deploying Generative AI systems that deliver measurable business value.
• Strong command of modern ML/DL techniques, including model development, fine-tuning, evaluation, and productionization.
• Expertise in Python and frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, Glean, and related tools.
• Experience with large language models (e.g., GPT-4, Claude, Mistral) and model fine- tuning / building RAG pipelines.
• Experience building Agentic AI platforms using technologies such as N8N, LangFlow, LangGraph.
• Ability to operate in ambiguity and lead complex initiatives from concept through delivery in fast-paced environments.
• Strong product sense with experience gathering user requirements, defining roadmaps, and prioritizing trade-offs.
• Familiarity with Agile methodologies and tools like Confluence and JIRA.
• Interest in fostering strong team culture and "vibe engineering."
Nice to Have:
• Advanced degree (MS/PhD) in Machine Learning or a related discipline.
• Contributions to peer-reviewed AI research or publications.
• Experience in financial services, particularly credit markets; CFA or CAI plus.
• Solid foundation in software engineering best practices, system design, and architecture.
Apply tot his job
Apply To this Job