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Lead AI Automation Solutions Architect

Cognizant Technology Solutions is currently seeking a highly experienced Lead AI Automation Solutions Architect specializing in Observability, AIOps, IT Automation, SRE, Cloud Operations and GenAI Technologies. The ideal candidate will have experience in ServiceNow ITOM, ITSM, CMDB, AIOps, Observability technologies like Splunk, AppDynamics, Datadog, GenAI technologies like Moveworks, ServiceNow, expert understanding in Enterprise and Open LLMs, Rag models, conversational bots etc coupled with a strong background in CI/CD and cloud-native architectures. This role requires a strategic thinker, technical expert, and pre-sales leader who can define and drive innovative solutions for enterprise clients. Partner with the customer to identify areas of opportunity to improve business outcomes through digital transformation that when implemented, lead to improved process and end-user experiences for everyone.

The Specialist will provide deep expertise in Observability, AIOps, IT Automation, or ServiceNow-led transformation solutions supporting Cognizant’s client account teams in vertical markets and their account expansion plans into new markets and business areas. SLS’s are usually assigned into existing markets and some SLS’ will also engage in new logo markets. The Specialist will be a “trusted advisor” to both the client and the Cognizant Client Partner blending strategic, tactical and ‘street savvy’ sales experience.

Are you ready to be a change-maker? At Cognizant, we believe those who challenge the way they work today will lead the way tomorrow! Ability to work independently and remotely, with willingness travel for client engagements as needed.

Key Responsibilities

· Lead technical pre-sales engagements, presenting IT operations transformation solutions to C-level executives and technical stakeholders.

· Develop compelling solution proposals, proof of concepts (PoCs), demos, and RFP responses for Observability, AIOps, SRE, and IT Automation and GenAI solutions.

· Collaborate with sales teams to define go-to-market (GTM) strategies for enterprise IT transformation initiatives.

· Architect scalable, cloud-native IT operations solutions integrating Observability, AIOps, and automation with ServiceNow ITOM and other platforms.

· Design resilient, high-performing CI/CD pipelines that align with SRE principles and DevOps best practices.

· Define multi-cloud observability architectures using tools like Dynatrace, Splunk, Datadog, New Relic, or Prometheus.

· Drive automation strategies, leveraging AI-driven service desks, event correlation, and intelligent remediation workflows.

· Lead thought leadership initiatives, including whitepapers, webinars, and industry conferences on next-gen IT operations and AIOps.

· Evaluate emerging technologies (AI/ML, LLMs, GenAI, FinOps, Zero Trust Security, etc.) to enhance existing IT operations frameworks.

· Develop best practices, frameworks, and accelerators to improve SRE-led IT operations, cloud migration, and service automation.

· Collaborate with customers, partners, and internal teams to align solutions with business goals and technology roadmaps.

· Provide technical mentorship to sales engineers, solution consultants, and delivery teams.

· Conduct executive briefings and workshops on modern IT operations, Observability, and AIOps strategies.

Required Qualifications:

· 18+ years in IT, with at least 8+ years in Observability, AIOps, IT Automation, or ServiceNow-led transformations.

· Proven track record of leading large-scale digital transformations in IT Operations for global enterprises.

· Experience in working with pre-sales teams, strategic consulting, and solution architecture roles.

· Observability & AIOps: Hands-on experience with tools like Splunk, Dynatrace, Datadog, New Relic, ELK, Moogsoft, BigPanda, or Instana.

· IT Automation: Strong knowledge of workflow orchestration, AI-driven ITSM, RPA, and chatbot automation.

· SRE & Cloud Operations: Expertise in SRE principles, reliability engineering, incident management, and chaos engineering.

· CI/CD & DevOps: Experience with Jenkins, GitOps, Terraform, Ansible, Kubernetes, and containerization.

· ServiceNow: Proficiency in Discovery, Event Management, Service Mapping, CMDB

· Cloud & Hybrid IT: Hands-on knowledge of AWS, Azure, GCP, multi-cloud, and FinOps best practices

· GenAI Technologies: GenAI technologies in IT Operations and platforms like Moveworks, Glean, ServiceNow, Aisera

Preferred Qualifications

· Master’s degree in Computer science or related.

· Strong Consulting background in a Cloud Infra and Security in sales, delivery or solutions

Home office setup (network, phone, etc.) Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, inspires thought leadership, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are comfortable with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you.

#LI-FA1

Average salary estimate

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$200000K

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What You Should Know About Lead AI Automation Solutions Architect, Cognizant

Cognizant Technology Solutions is on the lookout for a brilliant Lead AI Automation Solutions Architect to join our dynamic team in Dallas, TX. In this engaging role, you'll be spearheading innovative IT operations transformation solutions, specializing in Observability, AIOps, IT Automation, and GenAI technologies. The ideal candidate is not just a technical expert but a strategist who can work closely with clients to understand their challenges and convert them into opportunities for growth and efficiency. You will have the chance to work with cutting-edge tools such as Splunk, AppDynamics, and ServiceNow, all while leading pre-sales engagements and delivering compelling proposals to C-level executives. Your ability to architect scalable, cloud-native IT solutions and design resilient CI/CD pipelines will play a pivotal role in driving our digital transformation initiatives. This role not only demands technical prowess but also the charisma to guide clients through their transformational journeys as a trusted advisor. If you thrive on collaboration and are passionate about leveraging AI-driven solutions to enhance business outcomes, Cognizant provides a platform where your ideas and efforts will truly make an impact. We value self-motivated individuals, and while this position allows for remote work, occasional travel for client engagements will be expected. If you’re ready to challenge conventions and lead the way into the future of IT operations, we want to hear from you!

Frequently Asked Questions (FAQs) for Lead AI Automation Solutions Architect Role at Cognizant
What are the responsibilities of a Lead AI Automation Solutions Architect at Cognizant Technology Solutions?

As a Lead AI Automation Solutions Architect at Cognizant Technology Solutions, you will be responsible for leading technical pre-sales engagements, presenting IT operations transformation solutions to C-level executives. You will also develop proposals, proof of concepts, and demos for clients while collaborating with sales teams to define go-to-market strategies. Your role will involve architecting scalable, cloud-native IT solutions, designing CI/CD pipelines, and driving automation strategies across various platforms.

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What qualifications are needed for the Lead AI Automation Solutions Architect position at Cognizant Technology Solutions?

To become a Lead AI Automation Solutions Architect at Cognizant Technology Solutions, candidates should have at least 18 years of experience in IT, with more than 8 years specifically in Observability, AIOps, IT Automation, or ServiceNow-led transformations. A strong understanding of tools like Splunk and AWS, along with hands-on experience with CI/CD and cloud-native architectures, is essential. A Master’s degree in Computer Science or a related field is preferred.

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What tools and technologies do Lead AI Automation Solutions Architects work with at Cognizant?

In the role of Lead AI Automation Solutions Architect at Cognizant, you will work with a variety of advanced tools and technologies including Splunk, AppDynamics, Dynatrace, Jenkins, Terraform, and various cloud platforms like AWS and Azure. You will leverage GenAI technologies and AI-driven service desks to enhance IT operations and automation strategies, integrating them into comprehensive solutions for clients.

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How does Cognizant Technology Solutions support digital transformation through this role?

Cognizant Technology Solutions supports digital transformation through the Lead AI Automation Solutions Architect role by enabling solutions that improve operational efficiency and user experiences. This position focuses on identifying opportunities for enterprise clients and developing strategies that harness the power of Observability, AIOps, and AI automation, ultimately guiding organizations toward successful digital transitions.

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Can a Lead AI Automation Solutions Architect work remotely at Cognizant Technology Solutions?

Yes, a Lead AI Automation Solutions Architect has the flexibility to work remotely at Cognizant Technology Solutions. However, occasional travel for client engagements is expected to foster relationships and drive the implementation of innovative IT solutions tailored to client needs.

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Common Interview Questions for Lead AI Automation Solutions Architect
Can you explain your experience with AIOps technologies in previous roles?

In your response, focus on specific tools you've used, the projects you were involved in, and the impact those technologies had on IT operations. Highlight any hands-on experience with tools like Splunk or Dynatrace and how they facilitated efficient monitoring and operations.

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How do you approach developing a solution proposal for a client?

Discuss your method of understanding client needs through consultations, conducting a thorough analysis of their existing systems, and how you tailor your proposals to address their specific pain points while leveraging state-of-the-art technologies.

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What strategies do you implement to ensure successful CI/CD pipeline design?

Share your knowledge of CI/CD best practices, including automation, testing, and speed of deployment. Mention specific tools like Jenkins, Terraform, and any experiences leading teams in successful pipeline implementations.

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Have you ever been involved in a significant digital transformation initiative? Can you describe it?

Provide details about the transformation project, your role, the challenges faced, and the outcomes achieved. Focus on how your technical expertise contributed to the project’s success and any transformational impact it had on the organization.

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What role does observability play in modern IT operations according to your experience?

Discuss how observability leads to improved system reliability and performance monitoring. Mention specific tools you are familiar with, and emphasize how observability metrics can drive informed decision-making in operations.

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How do you stay updated with emerging technologies in AI and IT automation?

Share your commitment to continuous learning, such as following industry news, participating in webinars, attending conferences, or enrolling in relevant courses. Discuss how this knowledge has been beneficial in your current role.

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What is your experience in working with ServiceNow and its ITOM tools?

Provide specific examples of how you have utilized ServiceNow, focusing on your hands-on experience with ITOM functionalities like CMDB and event management and how they contributed to successful IT operations within an organization.

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Can you describe a time when you had to mentor a colleague on a complex technical issue?

Highlight an example where your mentorship led to positive outcomes, explaining the approach you took, how you communicated complex subjects, and any tools or resources they found beneficial.

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How do you define success in an IT automation project?

Discuss key performance indicators (KPIs) such as reduced time to resolve incidents, increased efficiency, and user satisfaction. Mention how you align project goals with business objectives to measure success effectively.

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Can you explain your experience with multi-cloud environments?

Detail your work with AWS, Azure, or GCP, highlighting any project experiences managing resources across different cloud environments. Discuss strategies you employed for achieving seamless integration and deployment in multi-cloud architectures.

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DATE POSTED
April 6, 2025

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