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AI Architect

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Selby Jennings
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Overview

A leading energy trading firm is seeking a AI Architect to lead the design and development of enterprise AI platforms, GenAI applications, and machine learning infrastructure. This is a highly visible role focused on designing scalable AI platforms, driving GenAI initiatives for front, middle, and back-office functions, enabling advanced analytics, forecasting, optimization, and decision-support capabilities across the business.

Responsibilities
  • Define enterprise AI architecture, standards, and governance
  • Design end-to-end AI/ML and GenAI solutions from data ingestion through deployment
  • Lead MLOps strategy, model lifecycle management, and AI platform development
  • Partner with engineering, data, and business teams to deliver AI-driven solutions
  • Provide technical leadership and mentorship across cross-functional teams
Required Qualifications
  • 5+ years of full-time experience in software engineering, data engineering, AI engineering, or machine learning
  • Bachelors degree or higher in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field
  • Experience architecting and scaling production AI/ML platforms
  • Strong expertise in Python, SQL, cloud technologies, MLOps, and distributed systems
  • Hands-on experience with LLMs, RAG systems, AI agents, and modern ML frameworks
  • Experience with Databricks, Snowflake, or similar data platforms
  • Financial services experience, ideally in trading, commodities, or energy
Preferred Qualifications
  • Background with GenAI, vector databases, semantic search, and AI observability
  • Cloud expertise across Azure, AWS, and/or GCP
  • Proven track record building large-scale, enterprise-grade AI systems

Interested? If you're excited by the opportunity to shape AI strategy and build enterprise-scale AI platforms, apply now!

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