Senior Partner Consulting, AI

About the role

We define the direction for enterprise-scale GenAI adoption while leading critical client relationships with strong technical credibility. Engage C-suite stakeholders on strategy, value realization, and risk, and bring depth in architecture decisions to guide teams toward reliable, production-grade outcomes.

Responsibilities

• Owning senior client relationships and executive forums;
• Shaping GenAI strategy, roadmaps, and investment cases tied to measurable outcomes;
• Defining end-to-end reference architectures for enterprise AI (LLM platform choices, RAG & context architecture, agent frameworks, integration, security, governance);
• Leading portfolio shaping: identifying repeatable offerings, accelerators, and GTM narratives; sponsoring thought leadership and IP creation;
• Serving as the escalation point for complex architecture or delivery risks; guiding teams through trade-offs in latency, cost, safety, and enterprise constraints;
• Building and leading senior, multi-disciplinary teams across strategy, architecture, data, engineering, and change management;
• Consistently demonstrating the Cognizant Way to Lead, which means operating with Personal Leadership, Organizational Leadership, and Business Leadership.

Requirements

• 15+ years in technology consulting, enterprise architecture, and large-scale program leadership with significant client-facing accountability;
• Track record leading enterprise transformations (ERP/SCM/CRM, modernization, cloud) and translating them into an AI-enabled operating model;
• Executive stakeholder management experience (CIO/CTO/CDO/COO) including steering committees, value tracking, and risk/compliance discussions;
• Ability to build and scale teams and offerings: hiring, coaching, partner ecosystems, GTM, and reusable assets;
• Strong working knowledge of LLMs, RAG, context engineering, agentic design patterns, and evaluation approaches sufficient to guide architecture and review delivery quality;
• Experience selecting and governing enterprise AI platforms (model providers, vector stores, orchestration, guardrails), balancing cost, latency, safety, and compliance;
• Deep familiarity with Responsible AI, security (prompt injection, data leakage), governance, and enterprise risk frameworks for AI systems;
• Comfort guiding teams on architecture for secure deployment (networking, identity, data residency, observability, LLMOps) across cloud and hybrid environments;
• Experience building agentic systems with orchestration frameworks (or custom implementations) and designing safe tool integrations;
• Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, & Leading the Business;
• Embodiment of Cognizant’s Values: Work as One, Dare to Innovate, Raise the Bar, Do the Right Thing, & Own It.

Qualifications

• MBA, M.Tech, or equivalent advanced degree;
• Certifications in cloud (AWS/Azure/GCP) or AI platforms;
• Domain depth in one or more industries: financial services, manufacturing, retail, healthcare, or public sector;
• Experience with frameworks such as TOGAF, SAFe, or industry-specific architecture bodies;
• Published thought leadership, conference presentations, or active participation in AI/tech communities.

Skills

• Strong working knowledge of LLMs, RAG, context engineering, agentic design patterns, and evaluation approaches;
• Experience selecting and governing enterprise AI platforms;
• Deep familiarity with Responsible AI, security, governance, and enterprise risk frameworks;
• Experience building agentic systems with orchestration frameworks;
• Experience with frameworks such as TOGAF, SAFe, or industry-specific architecture bodies;
• Published thought leadership, conference presentations, or active participation in AI/tech communities.

Benefits

• 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.

Pay

The annual salary for this position is between $176,400- $280,000 depending on the experience and other qualifications of the successful candidate.

Schedule

This is a hybrid position requiring 3 days a week in a client or Cognizant office. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements.