Generative AI Architect | VY Systems | New York, NY

VY Systems; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

VY Systems is seeking an experienced Generative AI Architect to own and lead the enterprise AI strategy in New York City. You will design, implement, and govern end-to-end generative AI platforms, RAG pipelines, and intelligent automation with a focus on performance, security, and governance for mission-critical systems.

You will work across executive stakeholders, data science squads, software engineers, and product teams in an Agile environment, delivering scalable AI solutions using OpenAI,

Qualifications

• Degree in a technical field; advanced degree preferred.
• 8–10+ years in software engineering, ML, and enterprise architecture.
• Hands-on expertise in Generative AI, LLMs & deep learning frameworks.

Responsibilities

• Own end-to-end enterprise generative AI architecture and governance.
• Design and deploy RAG pipelines, semantic search, and vector storage.
• Fine-tune and deploy foundational LLMs for enterprise use cases.
• Establish MLOps, model evaluation, and prompt management workflows.
• Ensure security, data privacy, and governance alignment.
• Collaborate with executives, data science, and product teams.
• Optimize latency and token costs for production AI workloads.
• Document architecture blueprints and runbooks thoroughly.

Skills

Generative AI

LLMs

MLOps

API design

Containerization

CI/CD

Problem-solving

Executive communication

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science

Tools

Docker

Kubernetes

PyTorch

TensorFlow

AWS Bedrock

Azure OpenAI

GCP Vertex AI

LangChain

Job description

Position Summary

VY Systems is actively seeking an experienced, high-caliber, and technical Generative AI Architect with a strong professional background in enterprise AI architecture, Large Language Models (LLMs), neural network design, and cloud-native AI infrastructure to join our client project on a contract C2C onsite basis in New York City (local candidates only). In this critical artificial intelligence leadership and solution architecture role, you will own the end-to-end architecture, design, and governance of enterprise generative AI platforms, RAG pipelines, and intelligent automation systems. You will leverage your deep specialist expertise in LLM fine-tuning, vector databases, prompt engineering, and cloud AI services to deliver uncompromised system intelligence, high performance, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT recruitment and staffing enterprise.

Detailed Job Description

As a Generative AI Architect supporting VY Systems in New York City, you will take full operational, tactical, and technical ownership of enterprise generative AI strategy, model orchestration frameworks, retrieval-augmented generation (RAG) architectures, and cross-functional engineering execution across mission-critical platforms. Your day-to-day responsibilities include designing, developing, and deploying scalable generative AI solutions utilizing foundational models (OpenAI, Anthropic, Llama), architecting high-performance vector database systems (Pinecone, Weaviate, Chroma) and semantic search pipelines, establishing robust MLOps practices, model monitoring, and automated evaluation frameworks, collaborating closely with executive stakeholders, data science squads, software engineers, and product teams in Agile sprint cycles, conducting rigorous security posture audits, ethical AI governance, and performance optimization for LLM workflows, preparing comprehensive technical documentation of architecture blueprints, model specs, and operational runbooks, and managing application requirements by sending your updated resume via direct email to Kayalvizhi at [e-mail]. You will utilize your proactive troubleshooting and analytical problem‑solving skills to resolve complex AI latency, hallucination, and token optimization bottlenecks under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with local candidate presence in New York City and C2C terms.

Key Responsibilities

• Own the end-to-end architecture, design, governance, and deployment of enterprise generative AI platforms and LLM solutions.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, and advanced vector storage architectures.
• Select, fine‑tune, and deploy foundational large language models (LLMs) and multi‑modal models for enterprise business use cases.
• Establish robust MLOps automation, continuous model evaluation, prompt management, and inference optimization workflows.
• Ensure strict alignment of AI architecture designs with enterprise security, data privacy, and governance standards.
• Collaborate seamlessly with executive stakeholders, data science squads, software engineering, and product management teams.
• Conduct rigorous performance tuning, latency reduction, and token cost optimization for production AI workloads.
• Maintain accurate, comprehensive technical documentation of architecture blueprints, system topologies, and operational runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical discipline.
• Minimum of 8 to 10+ years of progressive professional experience in software engineering, machine learning, and enterprise architecture.
• Strong, demonstrable hands‑on professional expertise in Generative AI, Large Language Models (LLMs), and deep learning frameworks (PyTorch, TensorFlow).
• Comprehensive working knowledge and practical proficiency in vector databases, embedding generation, and RAG pipeline architectures.
• Deep practical experience provisioning cloud AI infrastructure (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Solid practical experience in MLOps, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Exceptional analytical, troubleshooting, debugging, and problem‑solving capabilities under high‑pressure conditions.
• Excellent written and verbal English communication skills with strong executive presentation and leadership abilities.
• Mandatory local candidate status in New York City, C2C visa eligibility, and physical availability for full‑time onsite operations.

Nice‑to‑Have Skills

• Professional certifications such as AWS Certified Machine Learning Specialty or Google Cloud Professional Machine Learning Engineer.
• Prior professional working experience in top‑tier technology consulting firms, artificial intelligence labs, or enterprise SaaS corporations.
• Hands‑on familiarity with AI agent frameworks (LangChain, AutoGen, CrewAI) and autonomous workflow orchestration.
• Experience utilizing enterprise monitoring and observability suites (MLflow, Arize, Datadog).
• Exposure to agile software development methodologies and enterprise IT service management frameworks (Jira, Confluence).

Application Information

• Recruiter: VY Systems Recruitment Division
• Contact Name: Kayalvizhi
• Email: [e-mail]
• Phone:
• Company Website: https://www.vysystems.com
• Salary/Rate: Market Competitive / Enterprise AI Contract Package (C2C)
• Deadline: Open until filled (Urgent NYC Generative AI Architect Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Contract Engagement (C2C) / Onsite Work in New York City