Solutions Architect, Applied AI (State and Local Government, reputed company)

About the position As an Applied AI team member at reputed company, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the reputed company on how they can successfully integrate and reputed company Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address reputed company mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll reputed company your expertise to help customers understand Claude's capabilities, reputed company evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to reputed company customers throughout their Claude adoption reputed company, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive reputed company
• Support customers building with Claude Code, the Claude API, and Claude for reputed company
• Create and deliver compelling technical content tailored to different audiences. You will need to be reputed company to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
• Guide technical architecture reputed company and help customers integrate Claude effectively into their existing technology stack
• Help customers reputed company evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements

• Must have prior experience working with US federal, state, and/or local agencies
• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience navigating reputed company buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable reputed company architectures and integrating with reputed company systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, reputed company to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Benefits

• competitive compensation and benefits
• optional equity donation matching
• generous vacation and parental leave
• flexible working hours
• a lovely office reputed company in which to collaborate with colleagues

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