Generative AI Solutions Architect

Zoetis, Inc

Parsippany-Troy Hills (NJ)

Hybrid

USD 105,000 - 151,000

Full time

4 days ago
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Benefits offered by this job

Healthcare benefits
401K with match & profit-sharing
4 weeks of vacation

Job summary

Zoetis, Inc is seeking an AI Solutions Engineer to join the Analytics Strategy and Innovation team in Parsippany. You will design, build, and deploy generative AI solutions and proofs of concept, collaborating with data scientists, product managers, and engineers to solve complex problems and deliver scalable, impactful AI products.

The role blends solution architecture, software engineering, and data science, leveraging NLP, computer vision, and other generative AI techniques.

Qualifications

  • BS/MS in CS/Engineering or related field.
  • 5+ years in software engineering or AI/ML engineering roles.
  • Proven experience deploying generative AI solutions.
  • Strong communication for diverse audiences.
  • Experience with cloud AI services and data processing.

Responsibilities

  • Design and develop generative AI solutions and PoCs.
  • Architect scalable AI models and pipelines.
  • Integrate NLP/vision into production apps (Django).
  • Evaluate cloud services and ensure data governance.
  • Collaborate with data scientists and engineers in agile teams.
  • Monitor performance and optimize AI systems.

Skills

Generative AI
Python
Terraform / DevOps for AI
TensorFlow / PyTorch
Cloud platforms (Azure AWS GCP)
AI model deployment
NLP / computer vision
Data processing (Pandas, PySpark)
CI/CD
Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Django
Azure Databricks
Azure Cognitive Services
OpenAI models (GPT, Claude)
Apache Spark
TensorFlow
PyTorch

Job description

Zoetis, Inc is seeking an AI Solutions Engineer to join the Analytics Strategy and Innovation team in Parsippany. You will design, build, and deploy generative AI solutions and proofs of concept, collaborating with data scientists, product managers, and engineers to solve complex problems and deliver scalable, impactful AI products.

The role blends solution architecture, software engineering, and data science, leveraging NLP, computer vision, and other generative AI techniques.

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