AI Architect : Nashville, TN (Only Local)

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deepika dua

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10:43 AM (3 hours ago) 10:43 AM
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Greetings,

Please check below Job Description :

 

Please share 14+ Years experience candidates 

Include contact details and the LinkedIn profile link of the candidate in the email.

Mention Candidate current location & work Authorization/Visa status of the candidate

 

 

Job Title: AI Architect

Location: Nashville, TN

Duration: Long Term

 

Job Summary:

  • Manage multiple concurrent initiatives while balancing innovation with reliable delivery.
  • Drive buy-vs-build decisions, vendor evaluations, and strategic roadmap planning.
  • Evangelize AI best practices across engineering, product, and data teams.

Required Qualifications

Core Engineering & Architecture

  • 12+ years of experience in enterprise-grade full-stack or platform architecture.
  • Strong background in product engineering, distributed systems, and microservices.
  • Demonstrated ability to design mission-critical, high-availability systems.

AI / ML & Generative AI Expertise

Strong theoretical and hands-on expertise in:

  • Deep Learning (CNN, RNN, LSTM)
  • Transformer architectures and attention mechanisms
  • Deep experience with Generative AI, including:
  • Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering

GANs and Diffusion models

  • Proven experience integrating with OpenAI, Azure OpenAI, Hugging Face, or equivalent platforms.

Technical Stack

  • Expert-level proficiency in Python; strong working knowledge of C++ and Java.
  • Extensive experience with PyTorch, TensorFlow, and Keras.
  • Expertise in designing RESTful APIs, GraphQL, and event-driven architectures using Kafka or RabbitMQ.
  • Strong understanding of databases, vector stores, and streaming systems.

Cloud & DevOps

  • Proven track record of deploying and operating large-scale ML/AI workloads in production.
  • Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (IaC) tools (Terraform, Bicep, or CloudFormation).
  • Familiarity with CI/CD pipelines, observability stacks, and secure cloud networking.

Preferred Other Skills

  • Experience in Healthcare, Payer, or Life Sciences domains, including regulated data environments.
  • Exposure to edge AI, on-device inference, or real-time decision-making systems.
  • Contributions to open-source AI/ML projects or published technical thought leadership.
  • Experience building internal AI platforms or AI Centers of Excellence (CoE).

What Success Looks Like

  • Enterprise-scale Generative AI platforms run reliably and efficiently in production.
  • Autonomous agents delivering measurable productivity gains across the organization.
  • Secure, governable, and cost-efficient AI ecosystems.
  • Engineering teams are empowered by AI-native tooling and workflows.
  • Clear architectural vision consistently aligns with strategic business outcomes.

 

Regards,
Deepika Dua

VBeyond Corporation

https://www.linkedin.com/in/deepika-dua-018459166/

E: Deep...@vbeyond.com | www.vbeyond.com

390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

 


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