Job Information
Anthropic PBC Solutions Architect, National Security in Washington, District Of Columbia
Core Responsibilities:
Act as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude. Demonstrate how Claude can support U.S. and democratic allies national security operations and address customer use cases through proofs of concept. Provide technical guidance on integration, deployment, and adoption best practices.
Partner closely with the policy team and sales account executives to understand customer requirements. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption.
Drive technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Demonstrate solutions to technical roadblocks.
Act as the voice of our customers and a key collaborator with our Product and Research teams to ensure we are delivering critical capabilities to the National Security community.
Travel to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships.
Establish a shared vision for creating solutions that enable beneficial and safe AI
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models capabilities.
You may be a good fit if you have:
Active TS/SCI security clearance (required)
2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include senior executives, engineering and IT teams, and more
Experience in the defense, technology, or cybersecurity industries
Experience designing novel and innovative solutions for technical platforms in a developing mission area
Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred)
Understanding of and experience with LLM fundamentals
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
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, able 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the roles On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$295,000-$345,000USD
Logistics
Education requirements:We require at least a Bachelor's degree in a related field or equivalent experience.**
Location-based hybrid policy:**Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if yo do not believe you meet every single qualification.Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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