Chief Gen AI Architect (remote)

This remote position is

open to any qualified applicant in the United States.It is preferred that a qualified candidate is local to Chicago, Illinois, and they must be open to travel.*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics:

Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant's AIA practice takes insights that are buried in data and provides businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.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

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.Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.Position Qualifications:

At least 18 years of experience.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 serviceGoogle DialogFlow EXAmazon LexNatural 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 2AWS BedrocksEmotion 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 publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes.Azure/AWS/GCP certifications in Machine Learning & AI:Microsoft DP 100, AI 102AWS Machine Learning SpecialtyGoogle Certified Cloud Machine Learning EngineerDeeplearning.ai certifications on LLMs, prompt engineeringHolistic 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 -

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