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Introduction

We're IBM, a leading provider of business automation solutions
that empower organizations to make data-driven decisions. Our cutting-edge
products leverage Artificial Intelligence (AI) and Machine Learning (ML)
to automate complex processes, improve efficiency, and drive innovation.

Your role and responsibilities

**Job Summary:**

We're seeking an experienced Technical Engineer to join our Customer-Facing
Team, where you'll play a crucial role in ensuring the success of our customers
planning or utilizing business automation solutions build using IBM Business
Automation products that harness the power of AI. As a Technical
Engineer, you'll collaborate with cross-functional teams to design, develop,
and deploy products that meet the evolving needs of our customers.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

**Key Responsibilities:**

* Develop and maintain technical documentation for business automation
solutions, including product best practices and implementation guides.
* Collaborate with the Product Development Team to design and implement
AI-powered features and functionalities in our products.
* Work closely with the Customer Success Team to understand customer pain
points, provide technical guidance, and ensure seamless onboarding and
support of our products.
* Develop and maintain relationships with key stakeholders, including
customers, partners, and internal teams.
* Identify opportunities for product improvement and technical
optimization through data analysis and feedback from customers and
internal sources.
* Host technical enablement events and focused workshops, both face-to-face and
virtual, aimed at enabling business partners and customers expose the value
of IBM Business Automation products and solutions to our customers’ business.

Preferred technical and professional experience

**Preferred Expertise:**

* Experience with IBM Business Automation software (e.g. Business Automation
Workflow, Automation Decision Services, Enterprise Content Management) and
orchestration tools (e.g. watsonx Orchestrate)
* Experience with containerization (e.g. Docker) and orchestration tools
(e.g. RedHat Openshift or Kubernetes).
* Experience in AI, Machine Learning, or related fields