FAQs
What is the primary role of the Neuro AI Solution Architect?
The Neuro AI Solution Architect is responsible for designing, implementing, and demonstrating NeuroAI solutions for clients, providing user training, and collaborating with cross-functional teams to enhance the NeuroAI offering.
What are the key responsibilities of this position?
Key responsibilities include designing and deploying NeuroAI demo applications, collaborating with sales and customer success teams, providing user training, responding to RFPs, and staying updated with trends in machine learning and data science.
What qualifications are required for this role?
A Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field is required, along with 5+ years of experience in architecting machine learning and data science solutions.
Is travel required for this position?
Yes, the role requires comfortable traveling up to 50% of the time.
What skills are preferred for candidates applying to this role?
Preferred skills include strong programming skills in Python (with Pandas, Numpy, ScikitLearn, TensorFlow, PyTorch), experience with cloud platforms, knowledge of data visualization tools like Tableau or PowerBI, and familiarity with Generative AI and LLMs.
What compensation can I expect for this position?
The annual salary for this position ranges from $174,500 to $204,500, depending on experience and qualifications.
Are there any additional benefits provided by Cognizant?
Yes, Cognizant offers benefits such as medical/dental/vision/life insurance, paid holidays, paid time off, a 401(k) plan, long-term/short-term disability, paid parental leave, and an employee stock purchase plan.
How long will applications be accepted for this job?
Applications will be accepted until August 23, 2024.
Is there a requirement for sponsorship for work authorization?
Yes, you must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.