דרושים » ניהול ביניים » ארכיטקט /ית אינטגרציה, אוטומציה וAI

We are looking for an exceptional Technical Architect to join our growing team. In this role, you will be responsible for helping our clients empower their employees, serve their customers, and build solutions for their businesses.

In this role, you will also be responsible to:
Work across multiple customer-facing teams (Sales, Business Development, Product, Engineering, Customer Success) to improve the product's vision and to make global businesses and organizations successful.

Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. You help our employees and customers approach and resolve technical problems and design scalable services.

Gather requirements via client meetings and lead the solution design process jointly with customers, Business Development and Engineering

Develop capabilities and features based on customer requirements as well as to extend our connector capabilities via HTTP and SDK

Work closely with Product and Engineering to review customer requirements and feedback, and identify opportunities for our platform enhancements

Accelerate development for roadmap features to address specific customer requirements

Improve internal processes, and promote knowledge sharing in the team, by contributing to our knowledge base

Prioritize and deliver outstanding customer service experience to our customers

our company seeks a Senior Architect to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a hands-on Architect, you will be defining, designing, and building advanced storage features and extensions to make the company platform differentiated in a broad set of use cases primarily in the HPC/AI fields. You will build proof of concept implementations and work closely with the R&D teams to deliver production-grade solutions.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless workers who leverage their skills & experiences to make a real market impact.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements