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AIML Solution Architect

00067490711

Job Summary

Solutioning lead role for NA Intelligence deals - AI&ML, Agentic, Gen-AI architecture and solutioning

Role responsibilities

1. Partner with account and sales teams to understand client requirements and develop customized AIML & GenAI solutions that address their business objectives
2. Engage with existing and prospective clients to present AIML based technical solutions and platform/product demonstrations
3. Lead the technical response to AIML and GenAI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
4. Architect and design advanced analytical applications such as Forecasting, Prediction, Segmentation, Optimization, Computer Vision, Speech, and Text Analytics leveraging appropriate AIML tools & technologies across major cloud platform (Azure/AWS/GCP)
5. Design GenAI based solution to augment existing AIML applications and build new capabilities to address customer problems (First Party, Third Party and Open Source LLMs)
6. Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
7. Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
8. Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AIML/GenAI platforms and solutions

Required Qualifications:

1. Excellent verbal and written communication skills with ability to present complex AIML concepts to technical and executive audience (leveraging PPTs, Demos and Whiteboard)
2. Deep expertise in designing AIML and GenAI solutions on at least 1 major cloud platform (Azure, AWS and GCP)
3. Strong expertise in handling large and complex RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
4. Strong relationship building skills and ability to provide technical advisory and guidance
5. Experience as Solution Architect designing and developing AIML applications
6. Hands-on experience in building Agentic, GenAI applications leveraging Large Language models
7. Experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
8. Bachelor’s or Master’s degree in computer science, engineering, information systems or a related field


The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

Disclaimer:
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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