Emerging Technology Solutions Architect

Emerging Technology Solutions Architect

U.S. Bank is seeking an Emerging Technology Solutions Architect to evaluate and guide adoption of new AI-driven technologies across the enterprise. This role focuses on identifying emerging capabilities, assessing enterprise fit, and shaping scalable solutions that enable innovation while aligning to enterprise standards.

Responsibilities

• Evaluate emerging technologies such as GitHub Copilot, Cursor, MCP gateway solutions, and AI developer tooling ecosystems for enterprise adoption
• Audit AI platforms and services including Azure OpenAI, AWS AI/ML services, and other LLM-based solutions
• Recommend architecture patterns based on cost, scalability, security, and risk tradeoffs
• Define reusable solution patterns and integration approaches (e.g., APIs, service-based architectures, and MCP or similar orchestration patterns)
• Design and recommend solutions with sufficient technical depth to support downstream engineering teams through implementation
• Evaluate vendor tools and ecosystem offerings for enterprise fit and long-term viability
• Translate complex technical concepts into clear recommendations for technical and non-technical stakeholders
• Assess early-stage technologies and translate exploratory findings into enterprise-ready recommendations

Qualifications

• Bachelor’s degree or equivalent work experience
• Eight (8) or more years of experience in software engineering, architecture, or related technical roles

Preferred Skills / Experience

• Strong foundation in software engineering and solution architecture
• Experience designing distributed systems and integrating platforms through APIs and modern service-based architectures
• Cloud experience in AWS or Azure, including familiarity with AI/ML services (e.g., Azure OpenAI, SageMaker, Bedrock)
• Demonstrated understanding of generative AI and agentic AI concepts, including ability to evaluate tradeoffs such as latency, context window management, reasoning capability, and safety alignment
• Experience evaluating developer productivity tools such as GitHub Copilot, Cursor, or similar AI-assisted development tools
• Exposure to LLM integration patterns, prompt orchestration, or emerging AI frameworks
• Experience making architecture decisions grounded in real-world tradeoffs (cost, scalability, security, risk)
• Ability to design solutions and provide technical guidance through implementation (not purely conceptual architecture)
• Strong communication and stakeholder alignment skills