Distinguished AI Engineer - Onsite in Jersey City, NJ
About The Position
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 a Distinguished AI Engineer - Onsite in Jersey City, NJ 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.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- 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
- additional voluntary or legally-required benefits
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
