AI Deployment Engineer – Manufacturing Solutions

NTT DATA, Inc.

Plano (TX)

On-site

USD 201,000 - 367,000

Full time

5 days ago

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Job summary

NTT DATA is seeking a Forward-Deployed Engineer (FDE) - AI Products to lead the implementation, deployment, and operationalization of AI-powered products within customer environments, focusing on Manufacturing settings. You will translate customer requirements into configured, production-ready deployments and collaborate with cross-functional teams to drive measurable business outcomes.

The role combines product implementation expertise with customer-facing consulting and strong technical

Qualifications

6+ years of experience in software engineering, solution engineering, implementation consulting, platform engineering, DevOps, customer engineering, or a related technology role.
2+ years of experience implementing, configuring, deploying, or supporting enterprise software products, SaaS platforms, AI solutions, or cloud-based applications within Manufacturing customer environments.
Demonstrated experience working directly with customers in a consulting, implementation, solution delivery, or technical advisory capacity.
Experience with cloud platforms (AWS, Azure, or GCP), application integration, APIs, containerized applications, or deployment automation technologies in a production environment.
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or an equivalent combination of education and professional experience.

Responsibilities

Lead end-to-end implementation of AI products within customer environments, including discovery, design, configuration, deployment, user adoption, and optimization activities.
Partner with customer stakeholders to understand business objectives, operational processes, challenges, and success criteria.
Translate customer business requirements, workflows, and operating procedures into platform configurations, business rules, integrations, and AI-enabled workflows.
Configure and deploy product capabilities, including workflows, connectors, business rules, extraction models, and customer-specific settings.
Collaborate with product, engineering, architecture, and customer teams to ensure implementations align with business requirements and technical standards.
Deploy and support AI product solutions within cloud and customer-hosted environments using established deployment and operational processes.
Integrate products with customer applications, data sources, APIs, identity platforms, and enterprise systems.
Conduct implementation workshops, design reviews, user training sessions, and solution demonstrations with business and technical stakeholders.
Monitor implementation performance, troubleshoot issues, and recommend improvements to optimize adoption, scalability, and operational outcomes.
Document solution configurations, implementation approaches, deployment procedures, and operational best practices.
Provide structured feedback to product and engineering teams regarding customer requirements, enhancement opportunities, recurring implementation patterns, and product improvement recommendations.
Contribute reusable assets, implementation playbooks, configuration templates, and deployment methodologies that improve delivery consistency and scalability.