Distinguished AI Engineer

NTT DATA North America; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

NTT DATA North America in Jersey City, NJ, seeks a Distinguished AI Engineer to shape enterprise AI architecture and GenAI platforms. You will lead AIRP blueprint, LLM orchestration, and secure, scalable model-serving across cloud environments.

The role requires 10+ years in AI/ML or platform engineering, deep experience with LLMs, RAG, and Terraform/IaC patterns, and strong AWS or cloud-agnostic design skills. Collaboration with risk, security, and product teams is essential.

Qualifications

• 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 AWS cloud architecture experience or comparable hyperscaler depth, with cloud-agnostic AI platform patterns.
• Experience shaping Terraform/IaC standards, DevOps pipelines, secure deployment patterns, observability, resiliency, and platform operating models.
• Ability to influence senior stakeholders across business, technology, risk, compliance, security, data, and architecture forums.

Responsibilities

• Define target-state architecture for AIRP, 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.
• Create AWS implementation patterns that align with a cloud-agnostic blueprint and minimize unnecessary vendor lock-in.
• Define standards for Terraform modules, reusable IaC templates, environment strategy, pipeline promotion, approvals, observability, secrets, rollback, and operational controls.
• 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, risk, security, and governance forums.
• Partner with cybersecurity, risk, compliance, legal, audit, product, business, and citizen-development enablement teams.
• Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, portability, and regulatory fit.

Skills

LLMs

RAG

Embeddings

Model serving

AI orchestration

Evaluation frameworks

AI infrastructure

Tools

Terraform

AWS

DevOps pipelines

Job description

Req ID: 382105

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.

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 AIRP is scalable, reusable, observable, cost-efficient, secure, and compliant, while remaining AWS-first today and cloud-agnostic by design.

Client-specific emphasis

• Own the cloud-agnostic AI blueprint while leveraging AWS as the current implementation platform.
• Define reusable Terraform/IaC and DevOps pipeline patterns that can be federated across multiple AIRP use cases.
• Ensure architecture supports AI for business, AI for engineering, and responsible citizen development without fragmenting controls.

Primary Ownership

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

Key Responsibilities

• Define target-state architecture for AIRP, 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.
• Create AWS implementation patterns that align with a cloud-agnostic blueprint and minimize unnecessary vendor lock-in.
• Define standards for Terraform modules, reusable IaC templates, environment strategy, pipeline promotion, approvals, observability, secrets, rollback, and operational controls.
• 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, risk, security, and governance forums.
• Partner with cybersecurity, risk, compliance, legal, audit, product, business, and citizen-development enablement teams.
• Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, portability, 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 AWS cloud architecture experience or comparable hyperscaler depth, with clear ability to design cloud-agnostic AI platform patterns.
• Experience shaping Terraform/IaC standards, DevOps pipelines, secure deployment patterns, observability, resiliency, and platform operating models.
• Ability to influence senior stakeholders and operate across business, technology, risk, compliance, security, data, 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, multi-cloud AI strategy, or platform blueprint ownership.
• Familiarity with Responsible AI, model risk management, audit expectations, technology risk controls, and citizen development governance.

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.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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 endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.