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
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
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
Tech Stack
Amazon Redshift
AWS
Azure
Cloud
Python
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
Hybrid home/office schedule (for most positions)
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