Associate Partner Consulting, Enterprise AI

About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 6,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the Role

As an Associate Partner Consulting, Enterprise AI, you will make an impact by leading the delivery of complex GenAI programs end-to-end, staying close to engineering, and translating business goals into architecture and execution plans. You will be a valued member of the GenAI Consulting team and work collaboratively with managers, primary teams, and client stakeholders.

In this role, you will:
Lead multi-workstream GenAI delivery programs, including scope, planning, staffing, risk management, dependencies, and stakeholder communications.

Architect and review key technical decisions such as model selection, RAG design, context schemas, orchestration, tool-use, memory patterns, and evaluation strategy.

Establish engineering standards (ADLC-style phases, quality gates, testing/evaluations, observability) and ensure teams ship production-grade solutions.

Partner with enterprise architects to integrate AI capabilities with ERP/SCM/CRM, data platforms, identity, and integration layers.

Convert ambiguous requirements into clear backlogs, technical specifications, and acceptance criteria; drive rapid iteration while protecting security and compliance.

Build reusable assets: reference architectures, accelerators, prompt/context libraries, evaluation harnesses, and delivery playbooks.

Coach and mentor senior engineers and architects; provide technical leadership, code/design reviews, and pragmatic problem solving.

Consistently demonstrate the Cognizant Way to Lead, which means operating with Personal Leadership (building trust, collaboration, and inclusion), Organizational Leadership (driving vision and purpose, demonstrating a strategic and enterprise mindset, and creating and communicating a bold direction that inspires purpose), and Business Leadership (exemplifying client focus, managing ambiguity with accountability and results, and operating with financial acumen).

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position ; however, the role requires a hybrid and travel‑based delivery model , including travel to client sites and Cognizant offices as needed. The working arrangements for this role are accurate as of the date of posting and may change based on project or client needs. We will always be clear about role expectations.

What you must have to be considered

10–18 years in software engineering/architecture with demonstrable delivery of production systems in enterprise environments.

Hands-on experience building LLM-powered applications: RAG pipelines, tool-use agents, multi-step workflows; comfortable guiding implementation details.

Strong grasp of cloud-native architecture (APIs, microservices, event-driven patterns), plus security and observability best practices.

Practical experience with embeddings, semantic search, vector databases, re-rankers, and evaluation frameworks for RAG quality.

Experience integrating with enterprise systems (ERP/SCM/CRM), middleware, and data platforms; strong understanding of system-of-record semantics.

These will help you succeed

Demonstrated delivery leadership in transformations (ERP programs, modernization, cloud migrations) with real constraints: compliance, data quality, and integration complexity.

Strong understanding of enterprise data architecture (lakes/warehouses, governance, lineage) and how to operationalize it for AI context and retrieval.

Confidence operating in regulated environments and driving controls for privacy, security, auditability, and data residency.

Strong prompt and context engineering: system prompts, structured outputs, tool-use prompting, and context assembly patterns.

Experience building agentic systems with orchestration frameworks (or custom implementations) and designing safe tool integrations.

Strong communication and executive-ready storytelling: explain architecture, trade-offs, and ri…