Key skills
Amazon RedshiftAWSAzureCloudPythonAIMLLLMOpenAIAnthropicAnalyticsSnowflakeRedshiftDatabricksSales
About this role
Role Overview
- 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