Applied AI Architect, Strategic Enterprise Tech
Pre-sales architect and technical advisor helping strategic enterprise customers adopt Claude, design scalable AI architectures, build evaluations, and reach production. Requires 8+ years of hands-on technical and enterprise account experience, strong cloud architecture skills, and the ability to communicate with both executives and engineering teams.
About the job
Responsibilities
- Partner with account executives to understand customer requirements and translate them into aligned technical solutions.
- Advise enterprise customers throughout Claude adoption, from discovery and evaluation through deployment.
- Coordinate across Sales, Product, Engineering, and customer stakeholders to drive success.
- Support AI adoption strategies, including use-case scoping, architecture reviews, technical champion development, adoption workshops, and execution.
- Help customers build with the Claude API and Claude for Enterprise.
- Create and deliver technical content for engineering, development, IT, and executive audiences.
- Reproduce customer environments and problems through working builds to demonstrate paths to production.
- Guide architecture decisions and enterprise-stack integrations.
- Help customers develop evaluation frameworks for Claude use cases.
- Identify integration patterns and communicate customer insights to Product and Engineering.
- Travel occasionally to customer sites for workshops and technical deep dives.
- Maintain knowledge of LLM capabilities and implementation patterns.
Requirements
- 8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience.
- Experience working with enterprise customers and complex, multi-stakeholder buying cycles.
- Experience owning named or strategic enterprise accounts.
- Ability to communicate technical concepts to executives, engineering teams, IT teams, and other stakeholders.
- Experience designing scalable cloud architectures and integrating enterprise systems.
- Proficiency with Python.
- Familiarity with LLM frameworks and tools, or a background in machine learning or data science.
- Bachelor's degree or equivalent education, training, or experience in a relevant field.
- Strong collaboration, teaching, mentoring, communication, and interpersonal skills.
- Interest in safe and beneficial applications of AI.
Compensation
- Annual on-target earnings range: $240,000–$315,000 USD, including base salary and targeted sales commissions or bonuses.
Skills
Python, LLMs, Llm Frameworks, Machine Learning, Data Science, Cloud Architecture, Claude API, Enterprise Integration, Technical Architecture, Evaluation Frameworks
Similar jobs
Solutions Architecture jobsLeads and scales enterprise AI deployment engagements for Financial Services customers, managing Technical Deployment Leads, portfolio health, executive relationships, staffing, and complex delivery. Requires 8+ years of AI/ML delivery experience, people management, production AI deployments, and deep Financial Services expertise.
Lead the US & Canada Solutions Architecture team at Cohere to drive enterprise adoption of agentic AI. Build and coach high-performing SA teams, partner with Sales on strategic deals, architect scalable AI solutions, and influence product direction with customer insights. Requires 8+ years experience including 5+ years managing technical teams.
Leads a team of Solutions Architects supporting technical sales, strategic customer engagements, and developer-platform revenue. Requires 7+ years in technical sales or related engineering, leadership experience, and expertise in cloud architecture, AI/ML, distributed systems, and serverless platforms.
Leads strategic post-sales technical consulting for Ramp’s largest accounts, overseeing enterprise implementations, escalations, delivery operations, and team growth. Requires 8+ years in technical consulting or related services, substantial enterprise experience, and 3+ years managing individual contributors.
Senior Solutions Architect supporting Portuguese- and Spanish-speaking customers through technical discovery, value presentations, POCs, RFPs, and security discussions across the sales cycle. Requires at least four years of technical sales experience, strong customer-facing communication, and collaboration with Product and Engineering.