What are the responsibilities and job description for the Solutions Architect position at Reflection?
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all.
We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
Reflection is building frontier AI systems and partnering closely with customers to deploy them in real-world, high-impact environments. We’re looking for a Solutions Architect to work directly with prospective customers and partners, helping them understand what’s possible with Reflection’s models and translating business problems into concrete technical solutions.
In this role, you’ll sit at the intersection of sales, engineering, and partnerships. You will own technical discovery, shape AI use cases, and enable both customers and partners to successfully evaluate and adopt Reflection’s technology.
What You’ll Do
Enterprise Solutions Architecture
Partner with account executives to deeply understand customer needs, prioritize high-impact use cases, and translate them into technical solutions.
Design and deliver customer-specific demos and prototypes that showcase the power of our models.
Serve as the primary technical advisor throughout the enterprise sales cycle, from initial discovery to deployment.
Develop and maintain high-quality technical pre-sales assets tailored to different audiences, from engineering deep dives to business executive summaries.
Represent Reflection at customer meetings, partner summits, and industry events.
Partner Solutions Architecture
Lead the technical integration of Reflection's models within our distribution partners' platforms (cloud, inference providers, and system integrators).
Own the technical enablement of partner sales and solutions engineering teams through technical workshops, training, and joint solution sessions.
Develop joint sales assets with partner teams, including reference architectures, deployment patterns, case studies, and documentation.
Provide technical expertise for priority partner accounts alongside Reflection's partnerships team.
What We're Looking For:
5 years of technical pre-sales experience in roles such as Solutions Architect, Sales Engineer, Partner Solutions, or similar technical consulting roles.
Strong software engineering foundations. You are hands-on with code (Python, TypeScript) and can build functional demos and proof-of-concept applications from scratch.
Deep familiarity with the generative AI ecosystem, including the modern agent engineering stack: LLM orchestration, RAG architectures, vector databases, and fine-tuning strategies.
Deep understanding of enterprise software architectures, including cloud and on-premise environments, containerization, and deployment patterns for AI solutions.
Experience building enablement assets (documentation, presentations, workshops) and driving technical evangelism at scale.
Excellent presentation and communication skills, with the ability to adapt your messaging across technical and business stakeholders.
What We Offer:
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.