Agentic AI Solutions Engineer

We are looking for an R&D Solutions Engineer to join the Agentic AI team within our companys AI for Security organization. This is a customer-facing role embedded directly within R&D, with a dotted-line relationship to the broader Solutions Engineering organization. You will work closely with R&D, Product, Sales, and SE teams to bring new Agentic AI capabilities into the hands of customers early, learn from real-world usage, and help turn emerging capabilities into products and sales motions that can scale.
You will report directly to the Director of Agentic AI within the AI for Security organization.
This is not a traditional presales SE role. Your primary focus will be building and managing relationships with design partners and Early Access (EA) customers, driving them toward meaningful product usage, and creating a tight feedback loop between customers and the teams building the product. You will also play a key role in taking capabilities that initially require direct R&D involvement and making them repeatable for the broader our company SE organization.
Key Responsibilities
What You'll Do
Own Design Partners and Early Access Customers
Identify and recruit strong candidates for design partnerships and Early Access programs, working closely with Sales and SE teams.
Own the technical relationship with design partners and EA customers from initial engagement through deployment and ongoing usage.
Build and maintain a healthy portfolio of actively engaged design partners.
Understand customers environments, workflows, security requirements, and success criteria.
Help customers deploy, configure, integrate, and evaluate emerging Agentic AI capabilities.
Drive customers toward meaningful real-world usage rather than isolated demos or proofs of concept.
Track adoption, outcomes, blockers, and feedback across the design partner and EA portfolio.
Maintain ongoing relationships with customers to ensure early enthusiasm turns into sustained engagement and actionable product feedback.
Bring the Field into R&D
Develop a deep understanding of how customers use the product and where they encounter friction.
Translate customer conversations into concrete product requirements, technical insights, and prioritization signals for R&D and Product.
Identify recurring patterns across customers rather than treating every request as a one-off.
Work directly with engineers and product leaders to reproduce issues, validate assumptions, and test potential solutions.
Regularly synthesize customer feedback into clear recommendations for R&D and Product.
Help the R&D organization understand what is required for new capabilities to succeed in real production environments.
Make New Capabilities Sellable and Repeatable.