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AI Agentic Sales Lead (Remote)

00069483971

Overview

The AI & Analytics – Service Line Sales Specialist role is an incredible opportunity to be at the forefront of the AI revolution and collaborate on driving Gemini Enterprise related growth! The successful candidate will work with Cognizant's internal solution development teams and our client's team(s) on a variety of cutting-edge artificial intelligence, agentic AI, analytics, and data science projects. The individual will evangelize, sell, and transform mission-critical projects for our clients, working closely with client CIO/CDO/CXO organizations, brand teams, product owners, solution architects, data scientists, and data engineers.

The ideal candidate must be an exceptional communicator and a dynamic leader with experience in deploying AI systems in production who can engage with senior stakeholders while driving agile teams. They should be able to develop and guide proactive pursuits and RFP/RFI responses. The candidate should have practitioner-level experience in AI/ML, data science solutions, and familiarity with two or more of the following: Google Gemini / Vertex AI, Gemini, BigQuery, TensorFlow, Claude, Azure Open AI, Amazon Bedrock etc.

Key Responsibilities

  • Forge Client relationships with executive decision makers across IT and business teams face to face especially with responsibilities for Agentic System and solutions buildout.
  • Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for transforming business workflows using Agentic AI.
  • Run end-to-end lead generation, sales, and RFI/RFP processes for specific solutions in a multi technology, multi skill and service line environments for the achievement of sales target.
  • Counsel account leadership and delivery leadership on Agentic Transformation opportunities in each industry (Banking, Retail Consumer Goods, Insurance, Comms Media, Healthcare, Manufacturing, Life Sciences)
  • Work closely with Google alliance and solution architecture team to drive the latest Google Gemini capabilities in the client pursuits and solutions.
  • Develop and implement Account (client) Growth strategy and business plans that coordinate with account teams to integrate with the account’s larger growth plan.

Required Qualifications:

  • Strong background in AI Architecture, AI Solutioning, and consultative solutions selling experience, finding technical solutions to solve business problems in Artificial Intelligence (AI) and Agentic AI, Data management, and Analytics across multiple clients.
  • Strong experience selling Data solutions with Hyperscaler’s Azure, AWS, and GCP platforms with understanding of Cloud Data warehouse concepts like Cloud modernization, Enterprise data governance analytics and reporting.
  • Ability to navigate multi-agents stack: Google Gemini, Azure OpenAI, CoPilot, AWS Bedrock, SageMaker, or Anthropic cloud solutions.
  • Sound knowledge on Agentic AI concepts & complementary tool stack. Multi-agent coordination, Prompt orchestration, Tool integration, Context Engineering, RAG integration, Langgraph, Langchain, Kubernetes, MCP, A2A
  • Minimum 5-7 years hands on in advanced Presales AI, Agentic & Analytics Solutions and Services
  • 10+years’ overall work experience required.
  • Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to C-Suite executives.
  • Experience with largescale consulting and program execution engagements in the AI and data analytics space.
  • Strong technical skills with the ability to find technical solutions to business problems and engage the potential customer with “consultative selling” is essential.
  • Excellent oral and written communication skills, and executive presentation and persuasion skills are required.

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until Dec 11, 2026,

The annual salary for this position is between $ 90,000 - $ 190,000 depending on experience and other qualifications of the successful candidate.

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

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.


About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
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.

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, provincial or local laws.

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