AI Solutions Engineer (Python, DevOps, Cloud, LLM) - REMOTE at NTT DATA

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, DevOps, Cloud, Kubernetes, Helm, Git, Machine Learning, Deep Learning, Software Development, APIs, Problem-Solving, Analytical Skills, Communication, Interpersonal Skills, Architectural Guidance, Monitoring

Industry

IT Services and IT Consulting

Description

Platform Installation & Engineering Install, validate, and operate platform components using modern DevOps 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. Guide teams on repository hygiene, modularization, access controls, and branching strategies. Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations. Provide architectural guidance and clearly communicate trade-offs when preparing systems for AI-driven workflows. Work directly with customer engineers to drive adoption and unblock progress. 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 strong in software development lifecycle (SDLC) practices and common source control workflows (e.g. Git branching strategies, pull requests, release versioning). 2+ years Machine Learning and Deep Learning Expertise 5+ years of strong understanding of software integration principles and APIs. 5+ years 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.

Responsibilities

The AI Solutions Engineer will install, validate, and operate platform components using modern DevOps practices while ensuring platform health post-deployment. They will also guide teams on repository hygiene and troubleshoot various issues across code and infrastructure.