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Principal GenAI Architect

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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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

#LI-EF1

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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

Average salary estimate

$176000 / YEARLY (est.)
min
max
$162000K
$190000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal GenAI Architect, Cognizant

Are you ready to shape the future of artificial intelligence? Join Cognizant as a Principal GenAI Architect in beautiful Cole County, Missouri! In this pivotal role, you'll partner with our sales and account teams to craft tailored AIML and GenAI/Agentic AI solutions that meet our clients’ business goals. You'll be at the forefront of pioneering innovations, presenting these cutting-edge technical solutions both in-person and virtually. With your expertise, you'll design advanced analytical applications across major cloud platforms (think Azure, AWS, and GCP) to drive transformational change for our clients. You'll be the go-to expert for implementing responsible AI practices while influencing senior management and CxOs with your industry insights. If you have a strong background in architecting complex AIML solutions, excellent communication skills, and a passion for technology and data-driven decision-making, this could be your perfect fit at Cognizant. Join us to redefine how companies interpret and utilize data, turning insights into impactful strategies that elevate their services and enrich consumer experiences!

Frequently Asked Questions (FAQs) for Principal GenAI Architect Role at Cognizant
What are the main responsibilities of the Principal GenAI Architect at Cognizant?

As the Principal GenAI Architect at Cognizant, your primary duties will include partnering with account and sales teams to develop customized AIML and GenAI/Agentic AI solutions tailored to client needs. You'll lead technical responses to RFPs and customer presentations, architect advanced analytical applications, and provide technical guidance on AIML solutions. Additionally, you'll play an essential role in promoting responsible AI practices while collaborating with various stakeholders to ensure effective implementation of these technologies.

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What qualifications are required for the Principal GenAI Architect position at Cognizant?

To excel as a Principal GenAI Architect at Cognizant, candidates should possess a minimum of 10 years of experience as a Solution Architect in AIML application design and development. It's crucial to demonstrate at least one year of hands-on experience with GenAI/Agentic AI applications and a solid background in handling complex RFPs. A Bachelor's or Master's degree in fields such as computer science or engineering is also required, alongside strong communication skills for interfacing with technical and executive audiences.

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How does Cognizant support the continued education of Principal GenAI Architects?

Cognizant is committed to nurturing the professional growth of its employees, including the Principal GenAI Architect role. The company encourages continuous learning through various training programs and access to industry-leading resources that keep you updated on the latest trends and technologies in AI. This not only enhances your expertise but also positions you to provide valuable insights to clients and fellow team members alike.

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What is the salary range for the Principal GenAI Architect position at Cognizant?

The annual salary for the Principal GenAI Architect position at Cognizant ranges between $162,000 and $190,000. This compensation depends on experience and qualifications, and there's also the potential for participation in Cognizant's discretionary annual incentive program and stock options, recognizing the exceptional performance of our employees.

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What benefits can I expect as a Principal GenAI Architect at Cognizant?

Cognizant offers a comprehensive benefits package for the Principal GenAI Architect position, which includes medical, dental, and vision insurance, along with paid holidays and time off. Other features of the benefits plan include a 401(k) with contributions, disability insurance, paid parental leave, and an employee stock purchase plan, all designed to support the well-being and financial security of our employees.

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Common Interview Questions for Principal GenAI Architect
Can you describe your experience with AIML and GenAI applications?

When answering this question, you should focus on specific projects where you designed or implemented AIML and GenAI applications, detailing the tools and technologies you used. Discuss the challenges faced during these projects and how you overcame them, as well as the outcomes achieved. This showcases your hands-on experience and problem-solving skills relevant to the Principal GenAI Architect role.

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How do you ensure responsible AI practices in your solutions?

In your response, emphasize the importance of ethical considerations in AI solutions. Discuss your approach to identify and mitigate biases in AI models, ensure transparency, and prioritize data privacy and security. Sharing a real-life example of how you've implemented responsible AI practices can further strengthen your response.

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What strategies do you use for effective communication with clients and technical teams?

For this question, highlight your experience in tailoring communication styles based on your audience, whether they're technical stakeholders or executive management. Describe your methods for presenting complex concepts clearly using demonstrations, visual aids, and straightforward language. Mention how you facilitate discussions to ensure mutual understanding.

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How familiar are you with major cloud platforms like Azure, AWS, or GCP?

Share your level of expertise with these platforms, indicating specific projects or implementations you've completed on each. Discuss the capabilities of these cloud services that you've utilized in AIML and GenAI initiatives, such as data storage, computational power, or machine learning services. This helps illustrate your versatility and technical proficiency.

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Describe a time when you tackled a complex RFP and successfully collaborated with multiple stakeholders.

When answering this question, recount a specific RFP process, detailing your role and the approaches you employed to coordinate between various teams and service lines. Highlight the strategies you used to manage timelines, gather requirements, and deliver a winning technical proposal. This demonstrates your teamwork and project management skills.

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What are the current trends in AI that excite you the most?

Discuss trends such as advancements in natural language processing, the rise of responsible AI, or the development of more flexible AI applications. Articulate why these trends are significant to you and how they influence your work. Showing awareness of industry trends reflects your commitment to staying current in the field.

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How do you approach designing advanced analytical applications?

Describe your method for understanding client needs and translating them into analytical applications. Focus on how you gather requirements, assess data quality, and determine the appropriate algorithms to implement for applications such as forecasting or optimization. Sharing a successful project will highlight your practical experience.

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What role do you see AI playing in future business strategies?

In response, share insights on how AI can drive innovation, optimize operations, and enhance customer experience. Discuss your vision of AI becoming a central component in strategic decision-making processes, enabling businesses to leverage data-driven insights more effectively.

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How do you stay updated on emerging technologies in AI?

Explain your strategies for continuous learning, such as following industry publications, attending conferences, engaging in online courses, and participating in AI communities. Show that you're proactive in expanding your knowledge base, reinforcing your position as a knowledgeable candidate for the Principal GenAI Architect role.

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What techniques do you use for effective project delivery in a fast-paced environment?

Share your experience with agility in project management, highlighting tools or methodologies you apply to ensure timely delivery. Discuss how you prioritize tasks, allocate resources, and adjust plans as necessary to meet project deadlines. This conveys your adaptability and ability to manage challenges in dynamic settings.

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DATE POSTED
April 11, 2025

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