AI Lead | VY Systems | Jersey City, New Jersey

VY Systems

Jersey City (NJ)

Hybrid

USD 138,000 - 207,000

Full time

10 days ago

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Job summary

VY Systems is seeking an experienced AI Lead to drive AI strategy, architecture, and scalable ML solutions in Jersey City, NJ. You will lead data scientists, ML engineers, and software developers in Agile environments, delivering enterprise-grade AI products with robust MLOps, model monitoring, and governance.

The role requires 8+ years in software/AI, hands-on leadership, and strong English communication. Hybrid, contract (C2C) engagement with enterprise stakeholders, and security/compliance

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 8+ years of professional experience in software engineering, ML, and AI.
  • Hands-on leadership of AI engineering teams delivering enterprise AI solutions.
  • Proficiency with modern AI frameworks (PyTorch, TensorFlow) and LLMs.
  • Deep MLOps experience, Docker/Kubernetes, and cloud data services.

Responsibilities

  • Lead AI strategy, model architecture, and enterprise AI product development.
  • Direct cross-functional teams in Agile sprints.
  • Architect and scale MLOps pipelines and low-latency inference endpoints.
  • Collaborate with executives to align AI with business goals.
  • Establish data governance, model validation, and security protocols.
  • Mentor junior/mid-level AI engineers and perform code reviews.
  • Create architecture docs and governance frameworks.

Skills

AI Leadership
ML Engineering
Deep Learning
PyTorch
TensorFlow
MLOps
Cloud Platforms
Data Governance
English Communication
C2C Contracting

Education

BSc / MSc in CS / AI / Data Science

Tools

Docker
Kubernetes
AWS / Azure / GCP
LLM Architectures
Pinecone
Milvus

Job description

Position Summary:

VY Systems is actively seeking an experienced, high-caliber, and technical AI Lead with a strong professional background in artificial intelligence strategy, machine learning model development, and enterprise AI architecture to join our client project on a contract (C2C) hybrid basis in Jersey City, New Jersey. In this critical AI leadership role, you will be responsible for defining artificial intelligence roadmaps, directing advanced model training and deployment pipelines, and spearheading innovative AI initiatives. You will leverage your deep specialist expertise in machine learning frameworks, generative AI architectures, and cross-functional team coordination to deliver uncompromised model accuracy, high inference throughput, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital consulting enterprise.

Detailed Job Description:

As an AI Lead supporting VY Systems in Jersey City, New Jersey, you will take full operational, tactical, and technical ownership of artificial intelligence initiatives, model lifecycle management, and architectural governance across hybrid client engagements. Your day-to-day responsibilities include designing, developing, and deploying enterprise-grade artificial intelligence and machine learning solutions, leading cross-functional teams of data scientists, ML engineers, and software developers in Agile delivery environments, establishing robust MLOps practices, model monitoring, and automated retraining pipelines, collaborating closely with business stakeholders to translate complex requirements into scalable AI architectures, conducting rigorous model evaluation, hyperparameter tuning, and performance benchmarking, ensuring strict compliance with enterprise data privacy standards and security baselines, preparing comprehensive technical documentation, architecture diagrams, and executive status reports, and managing corp-to-corp (C2C) collaboration workflows. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex artificial intelligence and data pipeline anomalies under strict project delivery timelines.

Key Responsibilities:
  • Lead end-to-end artificial intelligence strategy, model architecture design, and enterprise AI product development.
  • Direct cross-functional teams of data scientists, machine learning engineers, and software developers in Agile sprints.
  • Architect and scale robust MLOps pipelines, automated training workflows, and low-latency model inference endpoints.
  • Collaborate with executive stakeholders to align AI capabilities with strategic business objectives and operational goals.
  • Establish rigorous data governance, model validation, bias mitigation, and security compliance protocols.
  • Troubleshoot, debug, and resolve complex model drift, data pipeline bottlenecks, and inference latency issues.
  • Conduct architectural reviews, code audits, and technical mentoring for junior and mid-level AI engineers.
  • Author comprehensive technical documentation, solution architecture specifications, and governance frameworks.
Required Qualifications & Skills:
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical discipline.
  • Minimum of 8+ years of progressive professional experience in software engineering, machine learning, and artificial intelligence.
  • Strong, demonstrable hands-on professional expertise in leading AI engineering teams and delivering enterprise AI solutions.
  • Comprehensive working knowledge of modern AI frameworks, deep learning libraries (PyTorch, TensorFlow), and LLM architectures.
  • Deep practical proficiency in MLOps tools, containerization platforms (Docker, Kubernetes), and cloud data services (AWS/Azure/GCP).
  • Solid practical experience in corp-to-corp (C2C) contracting environments and client-facing technical leadership.
  • Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure conditions.
  • Excellent written and verbal English communication skills with strong executive presentation and stakeholder management abilities.
  • Mandatory legal work eligibility and physical availability for hybrid professional operations in Jersey City, New Jersey.
Nice-to-Have Skills:
  • Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or Quantitative Modeling.
  • Prior professional working experience in top-tier AI research labs, financial technology firms, or major IT consultancies.
  • Hands-on familiarity with Retrieval-Augmented Generation (RAG), vector databases (Pinecone, Milvus), and prompt engineering.
  • Experience implementing enterprise-grade security frameworks, data encryption, and ethical AI governance standards.
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