You'll work hands-on with customers to map workflows and data, while collaborating closely with Product Managers, AI Specialists, and Engineers to decide what gets standardized and deployed broadly. Software Engineering - Core competency for designing, developing, and maintaining production-grade systems deployed in customer environments.
Scope customer environments directly with executive sponsors and IT/data owners to map systems, data models, and workflows.
Rapidly prototype and demo working solutions in front of customers, iterating in real time to validate business value.
Serve as the bridge between customer and core engineering teams to harden validated prototypes into production deployments.
Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures that meet data residency, privacy, and IT-maturity requirements.
AI Fluency - Essential for building and deploying agentic AI solutions and understanding AI capabilities for customer problem-solving.
Customer/Stakeholder Focus - Essential for understanding customer needs, scoping ambiguous problems, and maintaining focus on business impact throughout engagements.
Experience with backend languages such as Python, Java, or Typescript and technologies such as Docker, Kubernetes, and Kafka…
Background in cloud platforms (AWS preferred) and ability to design and operate multi-tenant and hybrid customer-cloud deployment models.
Experience: Senior-level · 5+ years
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