Associate Partner Consulting, Enterprise AI

Associate Partner Consulting, Enterprise AI

Cognizant Consulting is more than Cognizant's consulting practicewe'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?

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:

• 1018 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 risks to varied audiences.
• Delivery mindset: thrives in ambiguity, drives decisions, removes blockers, and raises the bar on engineering quality.
• Collaborative leadership: partners effectively with product, security, data, and client stakeholders to move work forward.
• Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, & Leading the Business.
• The embodiment of Cognizant's Values of: Work as One, Dare to Innovate, Raise the Bar, Do The Right Thing, & Own It.

Compensation: The annual base salary for this position is $137,250 - $2405,000 based on experience. 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.

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

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.

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.

Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you'll deliver services to and collaborate with stakeholders outside the province who may not speak French.

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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