NTT DATA North America ยท 3 hours ago
AI Solutions Engineer (Python, DevOps, Cloud, LLM) - REMOTE
United States
Full-time
Remote
Mid, Senior Level
$80K/yr - $166K/yr
7+ years expNTT DATA North America is a leading business and technology services provider, and they are seeking an AI Solutions Engineer to join their team. The role involves deploying and configuring the NTT Data AMS AI Platform in customer environments, working with customer engineering teams to ensure the solution delivers real value.
ConsultingDigital MarketingInformation ServicesInformation TechnologyIT Management
Responsibilities
Deploy and configure the NTT Data AMS AI Platform within customer cloud environments
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
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
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
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
Qualification
Required
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
Preferred
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
Company
NTT DATA North America
NTT DATA, Inc. is a trusted global innovator of business and technology services.
10001+ employees
H1B Sponsorship
NTT DATA North America has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (144)
2024 (182)
2023 (257)
2022 (871)
2021 (809)
2020 (1266)
Funding
Current Stage
Late StageLeadership Team
John Barr
Vice President - Insurance Strategy
Recent News
2025-12-05
Company data provided by crunchbase