Job Description

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Responsibilities

· Partner with account and sales teams to understand client requirements and develop customized AIML & GenAI/Agentic AI solutions that address their business objectives

· Engage with existing and prospective clients to present AIML based technical solutions and platform/product demonstrations

· Lead the technical response to AIML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)

· Architect and design advanced analytical applications such as Forecasting, Prediction, Segmentation, Optimization, Computer Vision, Speech, and Text Analytics leveraging appropriate AIML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/GCP)

· Design GenAI/Agentic AI based solution to augment existing AIML applications and build new capabilities to address customer problems (First Party, Third Party and Open Source LLMs)

· Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization

· Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams

· Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AIML and GenAI/Agentic AI platforms and solutions

Qualifications

· Excellent verbal and written communication skills with ability to present complex AIML concepts to technical and executive audience (leveraging PPTs, Demos and Whiteboard)

· Deep expertise in designing AIML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and GCP)

· Strong expertise in handling large and complex RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

· Strong relationship building skills and ability to provide technical advisory and guidance

· Minimum 10 years’ experience as Solution Architect designing and developing AIML applications

· 6. Minimum 1-year hands-on experience in building GenAI/Agentic AI applications leveraging Large Language models

· Minimum 3 years’ experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint

· Bachelor’s or Master’s degree in computer science, engineering, information systems or a related field

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Applications will be accepted until 18 Apr 2025.

Salary and Other Compensation:

The annual salary for this position is between $[ 162,000 - 190,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock options, 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

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