Distribution & Analytics GenAI Forward Deployed Engineer (AI)

Location: Boston, Massachusetts; hybrid schedule with at least four days per week in the office and flexibility to work from home one day per week. Applicants must already have valid United States work authorization that does not now or in the future require visa sponsorship.

Base pay: $123,100–$169,200 per year, with potential variable pay including bonuses, commissions, and/or long-term incentives.

Company

hirify.global is a diversified financial services company operating across financial planning and advice, asset management, and insurance, with more than $1.5 trillion in assets and operations across 19 countries.

What you will do

• Design and develop production-grade AI workflows using LLMs, RAG, agent-based frameworks, AWS Bedrock, and Snowflake Cortex.
• Build ML feature pipelines and collaborate with data science teams to productionise AI capabilities.
• Build and maintain scalable AWS data pipelines across ingestion, transformation, and serving layers using S3, Glue, Lambda, Athena, Snowflake, and Redshift.
• Integrate Salesforce CRM, Marketing Cloud, web analytics, and third-party commercial data sources at API and schema level, while resolving data quality issues.
• Improve engineering quality through code reviews, testing, technical design and architecture discussions, technical debt reduction, and pipeline reliability work.
• Lead proofs of concept, evaluate emerging AI and data tools, and translate experimentation into practical platform roadmap solutions.

Requirements

• 4–7 years of experience in data engineering, analytics platforms, or software development, with mid-to-senior-level independent delivery experience.
• Proven hands-on delivery in cloud-native environments and strong cloud data engineering experience with AWS and Snowflake or Redshift.
• Proven experience building AI/LLM-based solutions using orchestration frameworks and managed services.
• Solid programming skills in Python and/or PySpark.
• Experience integrating Salesforce CRM data and commercial data sources.
• Understanding of data pipelines across ingestion, transformation, and serving layers.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Ability to work independently with strong delivery discipline and ownership.

Nice to have

• Experience with MLOps, feature engineering, or model serving.
• Exposure to multi-agent frameworks such as LangGraph, CrewAI, or AWS Agent Core.
• Experience onboarding third-party commercial datasets such as fund flows or market intelligence.
• Experience with Tableau or similar BI tools for business-facing analytics.

Culture & Benefits

• Client-centric, relationship-based environment with face-to-face collaboration and in-person idea sharing.
• At least four days per week of in-office collaboration, with one day per week available to work from home.
• Vacation time, sick time, 401(k), and health, dental, and life insurance.
• Inclusive and accessible recruitment process with reasonable accommodation support.