Solutions Engineer (AI/EDA)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Engineer (AI/EDA): Designing and validating real-time event-driven architectures and agentic AI systems to help enterprise customers move AI from pilot to production with an accent on technical validation and strategic advisory. Focus on architecting PoCs/PoVs, evangelizing EDA patterns, and bridging the gap between complex technical infrastructure and business outcomes.
Location: Remote (North America), with a primary reference to New York, NY. Willingness to travel up to 35% across North America is required.
Company
is a leading platform for the enterprise AI era, providing infrastructure for real-time, event-driven data experiences for global enterprises.
What you will do
- Partner with Account Executives to qualify opportunities, shape account strategies, and drive complex deals to closure.
- Educate customers on the business value of event-driven architecture (EDA) and agentic AI strategies.
- Lead high-impact technical demonstrations, Proof of Concepts (PoCs), and Proof of Value (PoVs).
- Architect solutions using the Event Broker and Agent Mesh to solve real-world architectural challenges.
- Evangelize core EDA concepts including pub/sub, event sourcing, CQRS, and choreography vs. orchestration.
- Provide customer-driven insights to the Product and Engineering teams to influence the roadmap.
Requirements
- 5+ years of experience in technical sales or solutions engineering selling complex enterprise software.
- Proven ability to lead technical evaluations and communicate business impact to executive stakeholders.
- Experience with event-driven architecture or streaming platforms (e.g., Kafka, RabbitMQ, NATS, or MQTT).
- Familiarity with agentic AI frameworks and LLM orchestration (e.g., LangChain, CrewAI, AutoGen).
- Working knowledge of cloud environments (AWS, Azure, GCP) and Kubernetes.
- Must be able to travel up to 35% across North America.
Nice to have
- Programming proficiency in Java, Python, Go, or JavaScript.
- Knowledge of A2A (Agent-to-Agent) and MCP (Model Context Protocol) communication patterns.
- Familiarity with enterprise IT security, networking, and compliance considerations.
Culture & Benefits
- Hybrid-first work model providing flexibility and inclusion.
- Culture based on craftsmanship, trust, courage, and humility.
- Professional growth mindset with structured training programs to level up skills.
- Collaborative environment working alongside industry-leading technical minds.
- Focus on work-life balance and a social, creative team atmosphere.
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