Senior Partner Consulting, AI

Cognizant

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Dallas, TX
Salary: $176,400–$280,000 / yr
Posted: 144 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $228k

$125k $297k

below market most similar roles pay here above market

This role pays more than 73% of similar roles. Most pay $155,000–$230,100 — the blue band above. At the midpoint, this role pays about $228k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Senior Partner Consulting, AI

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The Senior Partner Consulting, AI joins the Enterprise AI Consulting team to define the direction for enterprise-scale GenAI adoption. This leadership role involves managing senior client relationships and executive forums to shape strategy, roadmaps, and investment cases. You will define end-to-end reference architectures, including LLM platform choices, RAG, context engineering, agentic patterns, and security. Responsibilities include leading portfolio shaping, setting operating models for delivery, and overseeing Responsible AI controls and LLMOps. You must possess deep knowledge of vector stores, orchestration, and prompt engineering while managing multi-disciplinary teams across strategy, architecture, and engineering. The role solves the technical challenge of moving AI from experimental stages to reliable, production-grade outcomes by balancing cost, latency, safety, and enterprise constraints across cloud and hybrid environments.

Skills

GenAI LLMs RAG LLMOps GenAIOps Agentic Patterns Context Engineering Enterprise Architecture Responsible AI Vector Stores AWS Azure GCP TOGAF SAFe

What you'll do

Own senior client relationships and executive forums to shape GenAI strategy and investment cases.
Define end-to-end reference architectures for enterprise AI including LLM platforms, RAG, and security.
Lead portfolio shaping by identifying repeatable offerings, accelerators, and go-to-market narratives.
Set the operating model for delivery, including governance, quality gates, and LLMOps standards.
Serve as the escalation point for complex architecture risks and trade-offs in cost and safety.
Build and lead multi-disciplinary teams across strategy, architecture, data, and engineering.
Review critical artifacts such as architecture designs and evaluation strategies to ensure production readiness.

What we're looking for

15+ years in technology consulting, enterprise architecture, and large-scale program leadership with significant client-facing accountability.
Track record leading enterprise transformations and translating them into AI-enabled operating models.
Experience managing executive stakeholders including CIO, CTO, CDO, and COO.
Ability to build and scale teams, offerings, partner ecosystems, and go-to-market strategies.
Strong working knowledge of LLMs, RAG, context engineering, agentic design patterns, and evaluation approaches.
Experience selecting and governing enterprise AI platforms, balancing cost, latency, safety, and compliance.
Deep familiarity with Responsible AI, security, governance, and enterprise risk frameworks for AI systems.
MBA, M.Tech, or equivalent advanced degree (preferred); certifications in cloud or AI platforms (preferred).