Generative AI Architect - Local to NY Only - Fulltime Role

Role Name: Generative AI Architect 

Location: NYC, NY (Onsite)

Duration: Fulltime

 

In-Person interview Required in NYC on this Friday (Only 1 Round Interview to Offer)

 

 

Job Description

We are seeking a highly experienced and visionary Generative AI Architect to lead the design and implementation of cutting-edge AI/ML platforms. This role demands deep technical expertise, strategic thinking, and the ability to collaborate across diverse teams to drive innovation in AI solutions.

 

Key Responsibilities:

• Architect and implement scalable AI/ML platforms and solutions across cloud environments.
• Lead the end-to-end lifecycle of AI/ML models including development, deployment, monitoring, and optimization.
• Design robust data pipelines, storage systems, and processing frameworks to support AI initiatives.
• Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI strategies with business goals.
• Ensure best practices in model governance, performance tuning, and ethical AI usage.

 

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 14+ years of experience in AI/ML architecture and platform development.
• Proven expertise in cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of AI/ML model lifecycle management and deployment strategies.
• Experience in data engineering, including pipeline design, storage solutions, and distributed processing.
• Excellent communication and collaboration skills.

 

Preferred Qualifications (Nice to Have):

• Hands-on experience with generative AI models and frameworks (e.g., GPT, GANs, diffusion models).
• Familiarity with big data technologies like Hadoop, Spark, or Kafka.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Proficiency in AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of DevOps practices and CI/CD pipelines for AI/ML workflows.

 

 

Best Regards,

Chetna

Truth Lies in  Heart