Job details
Role: Architect - Gen AI Location: Singapore 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.
- 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
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This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful. <br> <br> <br> <br> <b> Role Responsibilities </b> <ul> <li> Lead solution architecture for new business development and drive end-to-end implementation and deployment. </li> <li> Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS. </li> <li> 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. </li> <li> Independently lead client design workshops and provide tradeoffs and recommendations. </li> <li> Strong expertise in the Data & AI architecture for one of the Hyperscaler partners -Azure, AWS, GCP </li> <li> 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. </li> <li> Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability. </li> <li> 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. </li> <li> Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment. </li> <li> 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. </li> <li> Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input. </li> <li> Contribute to the Cognizant cloud community by developing assets, thought leadership, etc. </li></ul> <b> Experience & Skills </b> <ul> <li> Hands-on programming skill on at least one language node.js. </li> <li> Expert on Cloud competencies on "Artificial Intelligence" and "Machine Learning" PaaS components: </li> <li> Contextual Conversation design- for personalized and humanized interaction with end user for complex business cases <ul> <li> Microsoft BOT service </li> <li> Google DialogFlow EX </li> <li> Amazon Lex </li></ul></li> <li> Natural Language Processing model - design, training and publishing for multiple languages </li> <li> Project experience and/or skills Certification with generative AI <ul> <li> Azure Open AI (GPT 3.5/4) </li> <li> Google PaLM 2 </li> <li> AWS Bedrocks </li></ul></li> <li> Emotion and Sentiment Analytics </li> <li> Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs. </li> <li> Omni-Channel Integration for AI through Direct line </li> <li> Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes </li> <li> Azure/ AWS/ GCP certifications in Machine Learning & AI <ul> <li> Microsoft DP 100, AI 102 </li> <li> AWS Machine Learning Specialty </li> <li> Google Certified Cloud Machine Learning Engineer </li> <li> Deeplearning.ai certifications on LLMs, prompt engineering </li></ul></li> <li> Holistic knowledge of Solution Architecture, including "Data Analytics," "Data Security," "Dev Ops" & "ML Ops": </li> <li> Web app and services - Micro services, Azure functions, Logic apps, API management </li> <li> DevOps CI/CD pipeline on Cloud - "GitHub for Enterprise" </li> <li> Ability to compare technologies in any layer objectively with evaluation criteria and considerations </li> <li> Excellent communication skills, preparing PowerPoint presentations, executive readouts </li> </ul> Employee Status : Full Time Employee <br> <br> <br> Shift : Day Job <br> <br> <br> Job Posting : May 02 2024 <br> <br> <br> About Cognizant <br> Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. 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Architect - Gen AI </b> <br> <br> <br> <br> <b> Location: Singapore </b> <br> <br> <br> <br> <b> Summary of Role </b> <br> <br> <br> 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. <br> <br> <br> <br> <b> Role Responsibilities </b> <ul> <li> Lead solution architecture for new business development and drive end-to-end implementation and deployment. </li> <li> Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS. </li> <li> 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. </li> <li> Independently lead client design workshops and provide tradeoffs and recommendations. </li> <li> Strong expertise in the Data & AI architecture for one of the Hyperscaler partners -Azure, AWS, GCP </li> <li> 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. </li> <li> Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability. </li> <li> 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. </li> <li> Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment. </li> <li> 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. </li> <li> Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input. </li> <li> Contribute to the Cognizant cloud community by developing assets, thought leadership, etc. </li></ul> <b> Experience & Skills </b> <ul> <li> Hands-on programming skill on at least one language node.js. </li> <li> Expert on Cloud competencies on "Artificial Intelligence" and "Machine Learning" PaaS components: </li> <li> Contextual Conversation design- for personalized and humanized interaction with end user for complex business cases <ul> <li> Microsoft BOT service </li> <li> Google DialogFlow EX </li> <li> Amazon Lex </li></ul></li> <li> Natural Language Processing model - design, training and publishing for multiple languages </li> <li> Project experience and/or skills Certification with generative AI <ul> <li> Azure Open AI (GPT 3.5/4) </li> <li> Google PaLM 2 </li> <li> AWS Bedrocks </li></ul></li> <li> Emotion and Sentiment Analytics </li> <li> Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs. </li> <li> Omni-Channel Integration for AI through Direct line </li> <li> Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes </li> <li> Azure/ AWS/ GCP certifications in Machine Learning & AI <ul> <li> Microsoft DP 100, AI 102 </li> <li> AWS Machine Learning Specialty </li> <li> Google Certified Cloud Machine Learning Engineer </li> <li> Deeplearning.ai certifications on LLMs, prompt engineering </li></ul></li> <li> Holistic knowledge of Solution Architecture, including "Data Analytics," "Data Security," "Dev Ops" & "ML Ops": </li> <li> Web app and services - Micro services, Azure functions, Logic apps, API management </li> <li> DevOps CI/CD pipeline on Cloud - "GitHub for Enterprise" </li> <li> Ability to compare technologies in any layer objectively with evaluation criteria and considerations </li> <li> Excellent communication skills, preparing PowerPoint presentations, executive readouts </li> </ul> Employee Status : Full Time Employee <br> <br> <br> Shift : Day Job <br> <br> <br> Job Posting : May 02 2024 <br> <br> <br> About Cognizant <br> Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. 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