AVP, Applied AI & Engineering

Location: New York, NY; remote or hybrid depending on business needs, candidate location, and the team’s operating model.

Salary: $171,300–$214,120 USD annual base salary.

Company

hirify.global provides financial services, including investment management solutions focused on helping individuals and communities achieve better financial futures.

What you will do

• Scale AI solutions across investment research, portfolio analytics, operations, distribution, sales, marketing, and technology delivery.
• Translate business challenges into scalable, production-ready AI-enabled solutions and reusable capabilities.
• Promote AI-enabled engineering practices across software development, data engineering, testing, documentation, support, and operations.
• Lead solution design, architecture discussions, prototyping, implementation planning, and evaluation of emerging AI tools and platforms.
• Partner with AI engineering and platform leaders on agentic platforms, multi-agent frameworks, runtime architecture, AgentOps, observability, AI security, and engineering standards.
• Mentor AI engineers, data scientists, and technology professionals while communicating AI value, adoption, and measurable business outcomes to senior stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Finance, Business, or a related discipline.
• 10+ years of experience in technology, data science, AI, analytics, software engineering, or digital transformation.
• 5+ years of leadership experience managing technical teams, cross-functional initiatives, or enterprise-scale technology programs.
• Experience delivering AI, analytics, data science, automation, or software solutions into production environments.
• Strong understanding of Generative AI, Agentic AI, AI engineering, intelligent automation, and modern software delivery practices.
• Practical experience translating business problems into AI-enabled solution designs and guiding engineers and data scientists.
• Strong communication skills for explaining AI concepts, business value, and implementation tradeoffs to technical and non-technical audiences.
• Demonstrated ability to drive adoption, influence across teams, and deliver measurable business outcomes.

Nice to have

• Experience in Asset Management, Investment Management, Wealth Management, Financial Services, or another regulated business environment.
• Experience supporting investment research, portfolio management, investment operations, distribution, sales, marketing, or client-facing business functions.
• Familiarity with Databricks Genie AI, Snowflake Cortex, Microsoft AI Foundry, Microsoft 365 Power Platform, Python, SQL, and GitHub Copilot or similar tools.
• Experience with Agentic AI, multi-agent architectures, Retrieval-Augmented Generation, semantic search, prompt engineering, AI evaluation and monitoring, workflow automation, API and tool integration, and reusable engineering frameworks.
• Experience leading or mentoring AI engineers, data scientists, software engineers, or technology teams.
• Experience creating reusable technical capabilities, shared services, engineering accelerators, or common implementation patterns.

Culture & Benefits

• Flexible workplace model with remote or hybrid arrangements based on business needs and team operating model.
• Health, dental, vision, and life insurance plans.
• 401(k) savings plan with company matching contributions of up to 6% and an employer-paid cash balance retirement plan.
• Tuition reimbursement of up to $5,250 per year.
• 20 days of paid time off, nine paid company holidays, a flexible Diversity Celebration Day, and 40 hours of paid volunteer time per calendar year.