- Design and Implement Artificial Intelligence and Data Science solutions on Cloud at enterprise scale.

- Contextual understanding of customer requirements with visions, strategies, and roadmaps for implementation

- Collaboration with solution architect, business analysts and partner architects/stakeholders in Global Delivery model for AI Solution development

- Contribute to the Cognizant cloud community by developing assets, cross-training, learning echo-system.

- Hands-on programming skill on at least one language – C#.net or node.js or python.

- Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:

· Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialog flow) – for personalized and humanized interaction with end user for complex business cases

· Natural Language Processing model - design, training and publishing for multiple languages

· Emotion and Sentiment Analytics

· Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.

· Computer vision - OCR, Face Recognition, Custom model for Object detection and classifications

· Document/Form Entity Extraction

· Cognitive Search on heterogeneous unstructured data

· Enterprise Channel Integration for AI through Direct line

· Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes

· Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100.

- (Optional) Holistic knowledge of Solution Architecture, including “Data Analytics”, “Security”, “Dev Ops” & “ML Ops”:

· Enterprise cloud Data repository –Cloud Storage, NoSQL DB, Graph DB, Data Lake

· Data Ingestion, Transformation, Analytics – Real-time and batches

· Enterprise Security for AI/ML - Active Directory - Authentication, Authorization

· Web app and services – Micro services, Azure functions, Logic apps, API management

· DevOps CI/CD pipeline on Cloud – “Github for Enterprise”

- Ability to compare and contrast across technologies in any layer objectively with evaluation criteria and considerations

- Excellent communication skills, preparing PowerPoint presentations, executive readouts