Principal Solutions Architect at Argano providing strategic direction and oversight on integration of data platforms. Designing complex solutions and managing work processes from inception to delivery.
WF
Hybrid Senior Lead Artificial Intelligence Solutions Consultant – AI Architect
Posted 2 hours ago
About the role
- Lead artificial intelligence architecture for enterprise AI solutions at Wells Fargo. Collaborate cross-functionally to drive innovation and transform operational efficiency.
Responsibilities
- Lead the end-to-end architecture of enterprise-grade AI solutions, including Generative AI, Agentic AI, and hybrid systems
- Define and enforce architectural standards, best practices, and governance models
- Provide technical oversight across AI initiatives, ensuring scalability, security, and performance
- Collaborate with cross-functional teams to align AI strategies with business objectives
- Influence and guide the enterprise AI roadmap, identifying opportunities for innovation and transformation
- Translate complex AI concepts into business-relevant narratives for C-level stakeholders
- Build trust and credibility through clear, confident, and compelling communication
- Mentor and coach junior architects, data scientists, and engineering teams
Requirements
- 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, education
- Experience with AI/ML architecture, solution design and delivery
- Proven expertise in transformer-based architecture (e.g., GPT, BERT, LLaMA) and SLMs
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers
- Proven expertise in Generative AI (LLMs, diffusion models, etc.) and Agentic AI (autonomous agents, multi-agent systems)
- Hands-on experience with AI platforms (e.g., Google Vertex AI, Azure AI, AWS SageMaker, etc.), orchestration tools, and MLOps frameworks
- Strong understanding of data engineering, model lifecycle management, and AI governance
- Certifications in cloud engineering and architecture preferred
- Publications, patents, or speaking engagements in AI-related domains preferred
- Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field preferred
Benefits
- Robust benefits
- Competitive compensation
- Programs designed to help you find work-life balance and well-being
- Mentorship and coaching opportunities
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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