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Role : GEN AI Architect | Foster City CA | Onsite

Intuites LLC
Foster, CA Temporary
POSTED ON 3/8/2025
AVAILABLE BEFORE 6/7/2025

Role : GEN AI Architect

Location : 12 Months Contract

100% Onsite at Foster City CA

Looking for Local Consultants Only on W2.

Need 15 years plus overall Experience

Job Duties and Responsibilities :

A successful candidate will be responsible for leading the practice's ambitious growth initiative with our most strategic cloud partners – Azure, AWS, and GCP. This opportunity is scoped for high-performing, high-potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

  • Lead solution architecture for new business development and drive end-to-end implementation and deployment.
  • Run the solution architecture and proposal defense for reactive and proactive proposal responses for solutions on Generative AI (especially LLMs), Conversational AI & cloud AIaaS.
  • Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions and Data Science services platforms at the enterprise scale.
  • Independently lead client design workshops and provide tradeoffs and recommendations.
  • Develop and implement applications using advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
  • Architect solutions incorporating sophisticated techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
  • Apply 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 detailed deployment.
  • Stay on top 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.
  • Give to the Cognizant cloud community by developing assets, thought leadership, etc.

Position Qualifications :

  • Minimum 15 years of experience with strong expertise in the Data & AI architecture for one of the hyperscaler partners –Azure, AWS, GCP
  • Hands-on programming skill in at least one language node.js.
  • Expert on Cloud competencies on "Artificial Intelligence" and "Machine Learning" PaaS components :
  • Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases :
  • Microsoft BOT service
  • Google DialogFlow EX,
  • Amazon Lex
  • Natural Language Processing model - design, training and publishing for multiple languages
  • Project experience and / or skills Certification with generative AI :
  • Azure Open AI (GPT 3.5 / 4)
  • Google PaLM 2
  • AWS Bedrocks
  • Emotion and Sentiment Analytics
  • Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise, and business vocabs.
  • Omni-Channel Integration for AI through Direct line
  • Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
  • Azure / AWS / GCP certifications in Machine Learning & AI :
  • Microsoft DP 100, AI 102
  • AWS Machine Learning Specialty
  • Google Certified Cloud Machine Learning Engineer
  • Deeplearning.ai certifications on LLMs, prompt engineering
  • Holistic knowledge of Solution Architecture, including "Data Analytics," "Data Security," "Dev Ops" & "ML Ops" :
  • Web app and services – Microservices, Azure functions, Logic apps, API management
  • DevOps CI / CD pipeline on Cloud – "GitHub for Enterprise"
  • Ability to compare technologies in any layer objectively with evaluation criteria and considerations.
  • Excellent communication skills, preparing PowerPoint presentations, and executive readouts.
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