Applied AI Architect, Public Sector
This customer-facing architect advises U.S. national security and defense agencies on integrating Claude, from technical discovery and evaluation through deployment. The role requires U.S. citizenship, an active TS/SCI clearance, prior national security agency experience, and at least five years in a technical customer-facing role.
About the job
Responsibilities
- Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and implementation needs.
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery and evaluation through deployment.
- Coordinate across Sales, Product, Engineering, and other internal teams to drive customer success.
- Support customers building with Claude Code, the Claude API, and Claude for Enterprise.
- Create and deliver technical content for engineering, development, business, and executive audiences.
- Guide architecture decisions and help customers integrate Claude into existing technology stacks.
- Help customers develop evaluation frameworks to measure Claude's performance for specific use cases.
- Identify common integration patterns and share insights with Product and Engineering.
- Travel frequently to customer sites for workshops, technical deep dives, and relationship building.
- Maintain knowledge of developments in LLM capabilities and implementation patterns.
Requirements
- U.S. citizenship and an active TS/SCI security clearance.
- Prior experience working with U.S. national security, defense, or intelligence agencies.
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
- Experience navigating complex buying cycles involving multiple stakeholders.
- Exceptional relationship-building and communication skills with executives, engineering teams, IT teams, and other stakeholders.
- Ability to translate customer requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating enterprise systems.
- Familiarity with Python.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
- Strong teaching, mentoring, communication, and interpersonal skills.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- Relevant field of study demonstrated through coursework, training, or professional experience.
Compensation and Benefits
- Annual total compensation range: $275,000–$315,000 USD. For sales roles, this is the on-target earnings range, including target commissions or sales bonuses and annual base salary.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office collaboration space.
- Hybrid policy: staff are generally expected to work from an office at least 25% of the time, with some roles requiring more.
- Visa sponsorship may be available depending on the role and candidate.
Skills
Claude API, Claude Code, Python, LLMs, Llm Frameworks, Machine Learning, Data Science, Cloud Architecture, Enterprise Systems Integration, Evaluation Frameworks, Ts/Sci, Sales Engineering
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