AI Solutions Engineer; Python, DevOps, Cloud, LLM - REMOTE

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking an AI Solutions Engineer (Python, Dev Ops, Cloud, LLM) to join our team in Dallas, Texas (US‑TX), United States (US).

As an AI Solutions Engineer, you are a hands‑on engineer responsible for deploying, configuring, and operating the NTT Data AMS AI Platform in customer environments. You will work directly with customer engineering teams to install the platform, integrate it into existing Dev Ops workflows, ingest and analyze codebases, and ensure the solution delivers real, measurable value.

Platform Installation & Engineering

• Deploy and configure the NTT Data AMS AI Platform within customer cloud environments.
• Install, validate, and operate platform components using modern Dev Ops practices (Kubernetes, Helm, Git‑based deployments).
• Validate network connectivity, security configurations, logging, and monitoring.
• Manage versioned deployments, upgrades, and rollback procedures using Git‑driven release workflows.
• Test end‑to‑end platform functionality using representative repositories and workloads.
• Operate and maintain monitoring, logging, and alerting to ensure platform health post‑deployment.

Code & Workflow Enablement

• Review customer codebases (language‑agnostic) to assess structure, dependencies, and readiness for AI‑driven analysis.
• Guide teams on repository hygiene, modularization, access controls, and branching strategies.
• Integrate the platform into customer CI/CD pipelines and release governance models.
• Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations.

Technical Discovery & Solutioning

• Lead technical discovery sessions to understand customer architecture, development workflows, and constraints.
• Translate business and engineering goals into practical platform configurations and deployment patterns.
• Provide architectural guidance and clearly communicate trade‑offs when preparing systems for AI‑driven workflows.
• Identify risks early (security, scale, complexity) and adjust implementation approach accordingly.

Customer & Internal Collaboration

• Work directly with customer engineers to drive adoption and unblock progress.
• Partner with Product, Support, and Engineering to surface platform gaps, edge cases, and improvement opportunities.
• Document configurations, patterns, and lessons learned to improve future deployments.
• Serve as the technical point of continuity across installation, enablement, and early production usage.

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 2+ years of experience in a technical implementation or solutions engineering role, preferably with a SaaS product.
• 2+ years of experience with Azure, OpenAI, and other cloud and LLM providers.
• 7+ years of strong experience in software development lifecycle (SDLC) practices and common source control workflows (e.g., Git branching strategies, pull requests, release versioning).
• 2+ years of Machine Learning and Deep Learning expertise.
• 5+ years of strong understanding of software integration principles and APIs.
• 5+ years of programming proficiency in Python, R, and Java.
• Ability to travel to client sites as needed.

• Ability to provide architectural guidance and communicate trade‑offs when preparing code for analysis workflows.
• Comfortable reading code at a structural level, with proficiency in at least one code language.
• Excellent problem‑solving and analytical skills.
• Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non‑technical audiences.
• Proven ability to manage multiple projects simultaneously and prioritize effectively.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $79,920 - $166,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual…