Gen Ai

**Hyperscaler Hiring Initiative Job Descriptions**

**AI Engineer: (Azure/AWS/GCP/Watson) - (A/SA/M Level) - reports into Cloud AI Lead (AI&A - Data Science)**

The entire AIA leadership team is personally committed to the success of the AI architects and engineers on-boarded through this focused cloud hiring initiative.

**Principal Responsibilities**
- 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.

**Technical Qualifications**
- 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

**Job Summary**

**Responsibilities**
- Lead the design and implementation of AI solutions using Azure Open AI Service Azure Video Indexer and Azure AI Document Intelligence.
- Oversee the integration of Azure Cognitive Services including Vision Speech Language and Decision into our insurance platforms.
- Provide expertise in Azure Conversational Language and Custom Vision to develop intelligent chatbots and virtual assistants.
- Implement Azure BOT Service and Microsoft BOT framework to enhance customer interaction and service automation.
- Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing systems.
- Conduct regular assessments and optimizations of AI models to ensure they meet business requirements and performance standards.
- Provide technical guidance and mentorship to junior developers and engineers.
- Ensure all AI solutions comply with industry standards and regulatory requirements.
- Develop and maintain documentation for all AI projects and solutions.
- Stay updated with the latest advancements in AI and Azure technologies to continuously improve our solutions.

**Qualifications**
- Possess a minimum of 10 years of experience in AI and software development.
- Have extensive experience with Azure Open AI Service Azure Video Indexer and Azure AI Document Intelligence.
- Demonstrate proficiency in Azure Cognitive Services including Vision Speech Language and Decision.
- Show expertise in Azure Conversational Language and Custom Vision.
- Be skilled in using Azure Functions and Azure Cognitive Search.
- Have strong experience with.Net Core and Azure BOT Service.

**Certifications Required**

Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Solutions Architect Expert