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AI Engagement Lead / Solution Architect

Turing

AI Expert - Machine Learning & AI Research Full-time
United States July 20, 2026

Job description

AI Engagement Lead / Solution Architect

About Turing

Turing is seeking an AI Engagement Lead / Solution Architect to lead enterprise Generative AI engagements for a Fortune 500 financial services client. In this full-time remote role, you will own the end-to-end solution architecture, technical strategy, and delivery — from proof of concept through production deployment.

You will serve as the primary technical and client-facing leader, guiding cross-functional engineering teams while partnering with client stakeholders to deliver scalable, secure, and production-ready AI solutions built on modern GenAI frameworks and cloud platforms.

Key Responsibilities

  • Lead the end-to-end architecture for enterprise AI platforms
  • Make and defend key technical design decisions
  • Translate business requirements into scalable technical solutions
  • Guide implementation of LLMs, Agentic AI architectures, LangChain, LangGraph, and MCP integration patterns
  • Establish security boundaries for AI systems including access controls, guardrails, and human-in-the-loop review
  • Own project timelines, delivery milestones, and production releases
  • Act as the primary client contact throughout the engagement
  • Provide technical leadership to AI/ML engineers, integration engineers, and automation specialists

Required Qualifications

  • 10+ years of professional experience
  • 4+ years leading Machine Learning or AI projects and solution architecture
  • Proven experience owning enterprise solution architecture and technical decision-making
  • Strong understanding of LLMs, Agentic AI, LangChain, LangGraph, MCP integration patterns
  • Experience designing secure AI systems with governance and human review processes
  • Knowledge of Azure, GCP, and AWS cloud platforms
  • Experience with Agile methodologies (Jira, Confluence)
  • Excellent stakeholder management and leadership skills

Preferred Qualifications

  • Experience in financial services, asset management, or regulated industries

Work Arrangement

  • Full-time, Remote (United States)
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