AI Engineer – GenAI | Gemini Enterprise | Vertex AI

AI Engineer – GenAI | Gemini Enterprise | Vertex AI

3 Roles 

Location: New Jersey (Hybrid)
Employment Type: Contract

Job Summary

We are seeking a highly motivated AI Engineer to design, develop, and deploy cutting-edge Generative AI solutions using Google Gemini Enterprise and Vertex AI technologies.

This role offers an exciting opportunity to work on enterprise-scale AI initiatives focused on Generative AI, Predictive Analytics, ML Ops, and AI-driven business intelligence solutions. The ideal candidate will have strong experience with Python, AI/ML solution development, and cloud-based AI platforms.

Key Responsibilities

• Develop and deploy advanced AI solutions using Google Gemini Enterprise
• Design and integrate AI/ML models into enterprise applications and systems
• Collaborate with data scientists, software engineers, and business stakeholders
• Support AI project delivery ensuring quality and timely execution
• Contribute to AI development standards, frameworks, and best practices
• Identify and mitigate risks related to AI implementations
• Evaluate AI system performance and recommend optimization improvements
• Explore and integrate emerging AI technologies and methodologies
• Ensure AI solutions comply with enterprise standards and ethical guidelines

Required Skills

• 5+ years of experience in:
  • AI/ML
  • Generative AI
  • Predictive Analytics
  • ML Ops
  • Data Design
• 1+ years of experience with:
  • Gemini Enterprise
  • Vertex AI
  • Google ADK
• Strong Python programming experience
• Experience architecting and implementing GenAI solutions
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

Preferred Skills

• Experience with Nvidia NeMo Inference Manager (NIM)
• Experience deploying and managing AI models at scale
• Ability to work independently and within collaborative teams
• Strong project ownership and delivery mindset

Education

• Bachelor’s Degree required

Additional Information

• Hybrid role based in New Jersey
• Travel up to 25% may be required
• Opportunity to work on enterprise-level GenAI transformation initiatives

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