Java Full stack AI Solution Engineer- OnsiteCognizant • San Francisco, CA, United States

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Java Full stack AI Solution Engineer- Onsite

Cognizant • San Francisco, CA, United States

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Cognizant is one of the world's leading professional services companies, transforming 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 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

This role is not open to candidates who require visa sponsorship. We are only considering candidates who do not need visa sponsorship.

Responsibilities

As a Solution Engineer you will be engineering full-stack AI-driven web applications on the AI Platform. You will be working directly with our customers to design develop and deploy production applications demos and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude software development expertise and excellent interpersonal skills.
Develop and deploy full-stack AI-based enterprise applications on the AI Platform
Mentor junior team members on coding standards and design techniques
Conduct design and development reviews of customer software applications
Test troubleshoot and enhance customer software applications with and on behalf of customers
Deliver technical deep-dives demonstrations and customer training
Write application specifications and documentation
Continuously identify technical risks and gaps devise mitigation strategies in anticipation of customer needs
Work closely with product management and engineering to drive improvements to the overall quality of AI software

Qualifications

Bachelors degree in a Science Technology Engineering or Mathematics (STEM) or comparable area of study

2+ years of professional software development experience with object-oriented programming languages

Strong verbal and written communication and ability to work effectively on a cross-functional team

Analytical and problem-solving abilities

Organizational skills and attention to detail

Ability to travel as needed

Graduate degree in Science Technology Engineering or Mathematics (STEM) or comparable area of study

Experience deploying enterprise scale applications

Experience working in a customer-facing role

Software development experience with JavaScript and Python

Experience with Git or other version control software

Experience working with JavaScript frameworks such as React Redux Vue Backbone or Angular

Experience deploying software to one of the leading cloud computing platforms (i.e. GCP AWS Azure)

Understanding of SQL and NoSQL databases

Proficiency in data structure and algorithm design and implementation

Proficiency in time-series data analysis cleansing and normalization

Working knowledge of Agile software development methodology

Solid understanding of common machine learning techniques applications and trade-offs

Domain expertise in one or more of the following industries : Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications

Application Expire : 9 / 29 / 2025

The annual salary for this position is between $68,000 – $ 105,000 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

Medical / Dental / Vision / Life Insurance

Paid holidays plus Paid Time Off

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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