Demo

Technical Architect -Digital : Cloud Consulting

TEPHRA
Edison, NJ Full Time
POSTED ON 4/5/2025
AVAILABLE BEFORE 5/4/2025

Description : Job Description :

Strong and proven ability to identify and categorize use cases suitable for Generative AI usage and implementation. This is a key ask.

  • Responsible for reactive and proactive proposals responses for solutions involving Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
  • Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design AI enabled solutions, Data Science services platform at enterprise scale.
  • Strong expertise in the Data & AI architecture for one of the Cloudpartners -Azure, AWS, GCP
  • Develop and implement applications incorporating Generative AI models such as GPT, Anthropic Claude,, Google Palm, Meta Llama, focusing on enhancing developer and business productivity.
  • Knowledge of MLOPS will be beneficial.
  • Architect solutions incorporating Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
  • Apply middleware frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
  • Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure flawless deployment.
  • Keep abreast of emerging trends, sophisticated patterns, dependencies in data, and advancements in AI architecture, supplying to the refinement and innovation of application development processes.
  • Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.

Qualifications :

Hands-on programming skill on at least one language node.js / Java / Python

Strong hands-on capabilities on "Artificial Intelligence" and "Machine Learning" PaaS components such as :

  • Contextual Conversation design- for personalized and humanized interaction with end user for complex business cases
  • Microsoft BOT service, Google DialogFlow EX, Amazon Lex
  • NLP model - design, training and publishing for multiple languages
  • Project experience and / or skills Certification with generative AI including : Azure Open AI (GPT 3.5 / 4) , Google PaLM 2 and AWS Bedrock
  • Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
  • Standard Architectural Practices As Below :

  • Omni-Channel Integration for AI. MLOPS knowledge.
  • Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
  • Azure / AWS / GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering
  • Web app and services - Micro services, Azure functions, Logic apps, API management
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