Cognizant – CLOUD AI ENGINEER & ARCHITECT
Job Description
AI Engineer & Architect: (Azure/ AWS/ GCP) – reports into Cloud AI Lead (AI&A – Data Science)
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.
· RFPs: 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.
– 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.
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Aug 08 2023
About Cognizant
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. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.
Be aware of fraudulent offers!!
Cognizant does not charge anything at any stage of the recruitment process and has not authorized any agencies or partners or individuals to charge any fee at any stage of the recruitment process. In case you receive offers that you suspect are fraudulent, please email us at TAGCompliance2@cognizant.com. By this, we want to avoid and prevent unaware prospective candidates from falling victim to these scams.
Kindly note that any payment made to either individuals or agencies for gaining employment at Cognizant, will be at your own risk & volition and Cognizant cannot be held accountable for the same.
