Senior Applied AI Specialist

NasdaqBoston, MA
Hybrid

About The Position

Nasdaq eVestment™ is the leading institutional investment data and analytics platform—connecting asset managers, consultants, and asset owners through a centralized ecosystem of trusted intelligence and powering $90T+ in smarter, faster investment decisions through proprietary data and AI/ML‑driven workflows. As a Senior Applied AI Specialist reporting to VP, Head of eVestment Enterprise Revenue, you'll play a critical role in helping Nasdaq's largest institutional clients design, integrate, and deploy production-ready AI solutions powered by eVestment data. You'll serve as a trusted technical advisor, translating AI ambition into measurable business value for global asset managers, consultants, and asset owners. You'll thrive in this position if you're collaborative, technically credible, and bring a passion for solving complex problems in a fast-paced, high-impact environment where AI is reshaping how $90T+ in investment decisions are made.

Requirements

  • Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience.
  • 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist, or Technical Account Manager.
  • Hands-on experience delivering AI, ML, or LLM-based systems into enterprise production environments, ideally in financial services or regulated industries.
  • Strong Python proficiency with experience building and supporting production-grade AI systems.
  • Familiarity with AI data platforms such as Databricks, Snowflake, Azure, or Redshift, and LLM ecosystems including OpenAI and Anthropic.

Nice To Haves

  • Relevant cloud, data, or AI certifications (e.g., AWS, Azure, Databricks).
  • Experience with data modeling, analytics architectures, and warehouse design patterns.
  • Strong understanding of data governance, security, ethics, and responsible AI deployment.

Responsibilities

  • Lead end-to-end technical delivery for enterprise AI engagements, from discovery and architecture through production deployment and optimization.
  • Translate client workflows and business objectives into scalable, enterprise-ready AI/ML architectures using Nasdaq eVestment data.
  • Serve as the senior technical advisor guiding clients through system design, model integration, data pipelines, and deployment strategies.
  • Partner with client engineering, data, security, and compliance teams to navigate enterprise requirements and remove delivery blockers.
  • Drive adoption and expansion by collaborating with Sales and Client Success to deepen relationships and identify new AI use cases.

Benefits

  • 401(k) program with 6% employer match
  • Employee Stock Purchase Program with 15% discount
  • Student loan repayment program up to $10k
  • Company paid life and disability plans
  • Generous paid time off
  • Comprehensive medical, dental and vision coverage
  • Health spending account with employer contribution
  • Paid flex days to support mental wellbeing
  • Gym membership discounts
  • Paid parental leave
  • Fertility benefits
  • Paid bereavement leave
  • Company gift matching program
  • Employee resource groups
  • Paid volunteer days
  • Education Assistance Program
  • Robust job skills training and Professional development opportunities
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