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AI Solution Architect

AI Solution Architect

Dexian IndiaVaranasi, IN
27 days ago
Job description

Job Title : AI Solution architect

Location : Remote

Job Responsibilities :

  • Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements.
  • Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar / Digital Person AI, ensuring optimal compatibility, performance, and customization.
  • Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization.
  • Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards.
  • Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions.
  • Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence.
  • Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards.

Qualifications :

  • Experience with NVIDIA NeMo, OpenAI, and NLP technologies.
  • Proficient in TensorFlow, PyTorch, or equivalent frameworks.
  • Expertise in containers, Kubernetes, serverless computing, and DevOps practices.
  • Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups.
  • Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn.
  • Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures.
  • Knowledge of tokenization, embeddings, and transformer-based models.
  • Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences.
  • BS / MS in Computer Science, Software Engineering, or equivalent.
  • AI / ML Certifications : TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent.
  • Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus.
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