Job Description

Hyperscaler Hiring Initiative sAI Engineer: (Azure/AWS/GCP/Watson) \xe2\x80\x93 (A/SA/M Level) \xe2\x80\x93 reports into Cloud AI Lead (AI&A \xe2\x80\x93 Data Science)The successful candidate will be responsible for leading the practice\xe2\x80\x99s ambitious growth initiative with our most strategic cloud partner \xe2\x80\x93 Microsoft Azure or Amazon Web Services or Google Cloud Platform or IBM Cloud. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful. This role requires a domain expertise combined with the ability to task-organize, focus on the details, and sustain and drive progress over time.For the right candidate, this role offers an opportunity to contribute to rapid revenue growth in one of the most exciting and dynamic segments of the market. This is an ideal opportunity for technologists seeking cross vertical and/or cross industry expertise. Among other career-enhancing considerations, this role provides opportunities to directly and indirectly manage teams.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 \xe2\x80\x93 C#.net or node.js or python.- Expert on Cloud competencies on \xe2\x80\x9cArtificial Intelligence\xe2\x80\x9d and \xe2\x80\x9cMachine Learning\xe2\x80\x9d PaaS components:\xc2\xb7 Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialog flow) \xe2\x80\x93 for personalized and humanized interaction with end user for complex business cases\xc2\xb7 Natural Language Processing model - design, training and publishing for multiple languages\xc2\xb7 Emotion and Sentiment Analytics\xc2\xb7 Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.\xc2\xb7 Computer vision - OCR, Face Recognition, Custom model for Object detection and classifications\xc2\xb7 Document/Form Entity Extraction\xc2\xb7 Cognitive Search on heterogeneous unstructured data\xc2\xb7 Enterprise Channel Integration for AI through Direct line\xc2\xb7 Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes\xc2\xb7 Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100.- (Optional) Holistic knowledge of Solution Architecture, including \xe2\x80\x9cData Analytics\xe2\x80\x9d, \xe2\x80\x9cSecurity\xe2\x80\x9d, \xe2\x80\x9cDev Ops\xe2\x80\x9d & \xe2\x80\x9cML Ops\xe2\x80\x9d:\xc2\xb7 Enterprise cloud Data repository \xe2\x80\x93Cloud Storage, NoSQL DB, Graph DB, Data Lake\xc2\xb7 Data Ingestion, Transformation, Analytics \xe2\x80\x93 Real-time and batches\xc2\xb7 Enterprise Security for AI/ML - Active Directory - Authentication, Authorization\xc2\xb7 Web app and services \xe2\x80\x93 Micro services, Azure functions, Logic apps, API management\xc2\xb7 DevOps CI/CD pipeline on Cloud \xe2\x80\x93 \xe2\x80\x9cGithub for Enterprise\xe2\x80\x9d- Ability to compare and contrast across technologies in any layer objectively with evaluation criteria and considerations- Excellent communication skills, preparing PowerPoint presentations, executive readoutsJob SummaryWe are seeking a highly skilled Architect with 10 to 14 years of experience to join our team. The ideal candidate will have extensive experience in Azure AI services and a strong background in Life and Annuities Insurance. This role involves designing and implementing advanced AI solutions to enhance our insurance services and improve customer experiences.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.
• Utilize Azure Functions and Azure Cognitive Search to create scalable and efficient AI-driven applications.
• Develop and maintain applications using .Net Core ensuring high performance and reliability.
• Implement Azure BOT Service and Microsoft BOT framework to enhance customer interaction and service automation.
• Apply Azure Machine Learning techniques to analyze data and generate actionable insights for the Life and Annuities Insurance domain.
• 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 RequiredMicrosoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Solutions Architect Expert

Cognizant