What are the responsibilities and job description for the SR Lead Gen AI Architect- Onsite position at Cognizant?
About us
Cognizant is one of the world's leading professional services companies, redefining 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, a member of the NASDAQ-100, is ranked 195 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
Cognizant consulting
Within Cognizant is Cognizant Consulting, a global consulting organization delivering strategic and domain consulting through industry and technology expertise. With over 6,000 consultants worldwide, Cognizant offers high-value consulting services that improve business performance and operational productivity, lower operational expenses and enhance overall performance. Clients draw upon our deep industry expertise, program and organisational change capabilities, and analytical objectivity to help improve business productivity, drive technology-enabled business transformation and increase shareholder value. We provide a number of Business/IT Consulting Services including Business Strategy, IT Strategy & Roadmap Development, Process Re-Engineering & Transformation, Enterprise Architecture & Technology Selection, and Domain Solutions. The Cognizant Consulting team is a hard-working organization that is continually expanding our client base and increasingly being recommended by analysts such as Forrester and Gartner. And we’re growing!
Responsibilities
We are seeking an experienced Generative AI Architect. with 12 to 16 years of experience to join our team. The ideal candidate will have a strong background in Generative AI Gemini Pro Open AI chatgpt Google Vertex AI Statistics ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
Responsibilities
- Lead the development and implementation of advanced data science projects using Google Vertex AI Azure Open AI Service and other relevant technologies.
- Oversee the application of statistical methods and EDA to extract insights from complex datasets.
- Provide expertise in ML Ops to streamline machine learning workflows and ensure efficient model deployment.
- Utilize Cloud AutoML and Dialogflow to develop and optimize AI-enabled chatbots and other AI-driven applications.
- Implement and manage data pipelines using Airflow to ensure seamless data integration and processing.
- Apply knowledge graph techniques to enhance data relationships and improve search engine optimization.
- Develop and deploy machine learning models using Tensorflow PyTorch and other deep learning frameworks.
- Conduct research and stay updated on the latest advancements in artificial intelligence and natural language processing.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.
- Mentor and guide junior data scientists in best practices and advanced techniques.
- Ensure the accuracy and reliability of data science models through rigorous testing and validation.
- Communicate findings and insights to stakeholders through clear and concise reports and presentations.
- Contribute to the continuous improvement of data science methodologies and tools.
Qualifications
- Must have extensive experience with Google Vertex AI Azure Open AI Service and other AI technologies.
- Should possess strong skills in statistics EDA and data analysis.
- Must be proficient in ML Ops machine learning and deep learning frameworks like Tensorflow and PyTorch.
- Should have hands-on experience with AI-enabled chatbots Dialogflow and Cloud AutoML.
- Must be knowledgeable in natural language processing OpenCV and knowledge graph techniques.
- Should be skilled in using Python R Statistical Package and other relevant programming languages.
Certifications Required
- Generative AI Architect - Google Professional Data Engineer Microsoft Certified: Azure AI Engineer Associate TensorFlow Developer Certificate
The annual salary for this position is between $150,000 - $170,000 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.
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Salary : $150,000 - $170,000
