Req ID: 379369

We are currently seeking a Distinguished AI Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US).

Distinguished AI Engineer

Enterprise AI Architecture / LLM Platforms / Advanced AI Systems

Role purpose

Set the architecture, engineering standards, platform strategy, and technical governance for enterprise AI and GenAI capabilities. This role guides senior engineering teams and ensures AI platforms are scalable, reusable, observable, cost-efficient, and compliant with enterprise risk expectations. This role will be onsite in Jersey City, NJ.

Primary ownership

• Target-state enterprise AI architecture, reference patterns, and platform guardrails.
• LLMOps, AI gateways, model-serving strategy, evaluation platforms, observability, governance, and operating standards.
• Technical assurance for high-risk or high-impact AI initiatives.

Key responsibilities

• Define target-state architecture for LLM platforms, model hubs, AI gateways, RAG services, agent frameworks, orchestration layers, and model-serving infrastructure.
• Establish enterprise standards for AI SDLC, LLMOps, MLOps, evaluation, release management, operational resilience, and production support.
• Guide architecture for secure, scalable, and cost-efficient inference across cloud, hybrid, private, and containerized environments.
• Define guardrail patterns for hallucination mitigation, bias monitoring, harmful-content controls, prompt injection defense, data leakage prevention, and human oversight.
• Lead design reviews for critical AI systems and provide technical assurance to architecture and risk forums.
• Partner with cybersecurity, risk, compliance, legal, audit, product, and business teams to align AI designs with enterprise controls.
• Mentor principal engineers and establish reusable design patterns, reference implementations, and engineering playbooks.
• Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, and regulatory fit.

Must-have candidate profile

• 10+ years in AI/ML systems, distributed systems, enterprise architecture, or platform engineering.
• Deep experience with LLMs, RAG, embeddings, model serving, AI orchestration, evaluation frameworks, and AI infrastructure.
• Proven track record defining architecture and technical standards across multiple engineering teams.
• Strong understanding of distributed training, GPU infrastructure, inference optimization, observability, model governance, and resiliency.
• Ability to influence senior stakeholders and operate across business, technology, risk, compliance, and architecture forums.

Preferred experience

• Global bank, fintech, financial-services, or regulated-enterprise platform experience.
• Experience with enterprise AI platforms, private LLM deployments, internal model hubs, AI gateways, or multi-cloud AI strategy.
• Familiarity with Responsible AI, model risk management, audit expectations, and technology risk controls.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use [redacted].com, [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.