**AI Solutions Architect – Remote (US Citizens Only)** Are you passionate about AI? This is an exciting opportunity to work with one of the leading companies at the forefront of AI innovation, disrupting the entire industry! This fully remote role requires 30-50% travel, so you must have quick and easy access to a major airport. Responsibilities:
- Manage pre-sale Proof of Concepts (POCs) and support post-sale implementations for U.S. Government clients.
- Collaborate with the Account Executive from the initial client meeting to explore challenges, identify specific needs, and build a plan and architecture for the POC.
- Act as the primary technical contact for customers, addressing technical challenges and managing expectations.
- Support post-sale implementation teams and gather client feedback for product improvements.
- Document best practices and create repeatable solutions.
Qualifications:
- 5+ years of experience as a solutions architect or sales engineer in pre-sales for a software company.
- Strong engineering background with the ability to understand code, and solid experience with UNIX.
- Strong verbal and written communication skills.
- Positive, collaborative, and consultative work style with high emotional intelligence.
- Ability to analyze new business opportunities and influence client technical requirements.
- Willingness to travel up to 50% domestically (and occasionally internationally).
- Ability to obtain a U.S. Government security clearance (active clearance is a plus).
Preferred Experience:
- Experience with AI, Machine Learning, Python, Docker, AWS, and Azure.
- Experience working with the U.S. Government.
Compensation:
- Competitive salary based on experience and qualifications, up to $175k base + commissions (total comp around $250k+)
- Equity shares
- Unlimited PTO
- 100% employer-paid medical coverage for employees and dependents
- Comprehensive benefits package including dental, vision, 401(k), and disability insurance
Solutions Architect Unix Docker Artificial intelligence (AI) Python Amazon Web Services (AWS) Machine Learning Azure