Architect - Gen AI

at  Cognizant

Experience & Skills

• Hands-on programming skill on 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 - Micro services, 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, executive readout

SUMMARY OF ROLE

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

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners -Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize 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 seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing 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.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on 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 - Micro services, 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, executive readouts