Chief Generative AI Architect
: Job Details :

About Cognizant's Generative AI Practice:Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.The Role:Cognizant is seeking an innovative Generative AI Architect for the use of global clients. As a member of our team, you will build innovative solutions that power modern business. An ideal candidate is someone who enjoys working in a diverse, collaborative, geographically distributed team. Similarly, the candidate is a leader who values the team  , drives continuous improvement and is unafraid to challenge the legacy status quo with creative thoughtful-based solutions.The successful candidate will be responsible for owning the practice's daring growth initiative with our most strategic cloud partners - Azure, AWS, GCP. This opportunity is prioritized for impactful, high potential subject matter authorities who are self-directed, ambitious, highly collaborative, organized, diligent, and thoughtful.Responsibilities: 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 proposals 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, 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 Hyperscale partners - Azure, AWS, GCPDevelop and implement applications demonstrating sophisticated Generative AI models such as OpenAI GPT, Anthropic Claude, Google PaLM2, 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 flawless deployment.Keep abreast of emerging trends, sophisticated 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. Technical Qualifications: Hands-on programming skill in at least one language Node.js.Expert on Cloud competencies in 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 serviceGoogle DialogFlow EXAmazon LexNatural Language Processing 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 Bedrocks.Emotion and Sentiment Analytics.Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabularies.Omni-Channel Integration for AI through Direct line.Deployment and publishing 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 and 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, executive readouts. Salary and Other Compensation:The annual salary for this position is between $[170,000 - 250,000 USD] depending on the experience and other qualifications of the successful candidate.This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.Benefits: Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time OffLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan Disclaimer:The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. #J-18808-Ljbffr