Chief Gen AI Architect (remote)

Description

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 Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 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.

*You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

This is a remote position open to any qualified applicant in the United States

A qualified candidate must be open to traveling.

The successful candidate 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.

Principal 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 Claude, 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 on top 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.

Technical Qualifications

• 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.

Applications will be accepted until 03/22/2024.

The annual salary for this position is between $165,000.00 - 250,000.00 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee 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.

Qualifications

Technical Skills

SNo

Primary Skill

Proficiency Level *

Rqrd./Dsrd.

1

Generative AI

PL1

Required

2

AWS Services

PL4

Desired

* Proficiency Legends

Proficiency Level

Generic Reference

PL1

The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.

PL2

The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.

PL3

The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.

PL4

The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.