A major national bank is seeking a Senior Lead AI Solutions Consultant to lead the architecture, design, and execution of enterprise AI capabilities with a focus on Generative and Agentic-AI technologies. This role partners with cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency across the enterprise. The position specializes in Data Science — Model Risk management, Generative AI (Gen-AI), and Agentic AI solutions to drive innovation while ensuring robust governance and compliance.


Key Responsibilities

  • Lead the architecture, design, and execution of enterprise AI capabilities with a focus on Generative and Agentic-AI technologies.
  • Partner with cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency.
  • Specialize in Data Science — Model Risk management, Generative AI, and Agentic AI solutions.
  • Act as an advisor to senior leadership in developing a large cross-functional team to identify and execute complex AI initiatives.
  • Provide consultation to more experienced leaders to recommend solutions which solve business challenges.
  • Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits.
  • Build and optimize custom Small Language Models (SLMs) for enterprise-grade solutions.

Required Qualifications

  • 7+ years of Artificial Intelligence Solutions experience.
  • Hands-on experience with Generative AI (LLMs, NLP, diffusion models) and Agentic AI architectures (autonomous/multi-agent systems).
  • Ability to build and optimize custom Small Language Models (SLMs) for enterprise-grade solutions.
  • Proven expertise in model fine-tuning and domain adaptation for business-specific applications.
  • Strong knowledge of prompt engineering principles, including prompt design, chaining, and optimization.
  • Strong understanding of data engineering, model lifecycle management, and AI governance.

Preferred Skills

  • Advanced degree (MS/PhD) in Data Science, Machine Learning, Statistics, Computer Science, AI, or related field.
  • Certifications in AI Governance, Risk Management, or Responsible AI.
  • Certifications in cloud engineering and architecture (e.g., Google Cloud, Azure Solutions Architect Expert).

Work Arrangement

Hybrid — 3 days onsite, 2 days remote. Up to 10% travel.


Location

Charlotte, North Carolina.

Type of Project: Solutions Architect
Work Arrangement: Hybrid - 3 days onsite 2 days remote upto 10% travel
Work Type: Full-Time

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