Partner Consulting Enterprise AI Delivery Architecture

Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities.About Cognizant ConsultingCognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. By combining deep industry knowledge with advanced technology advisory capabilities, we deliver innovative, high‐impact solutions to Fortune 500 and Global 2000 clients.About the RoleAs a Partner Consulting - Enterprise AI Delivery & Architecture, you will make an impact by leading end‐to‐end delivery of complex Generative AI and enterprise AI transformation programs, while staying closely engaged in architecture and engineering decisions.You will be a valued member of the Enterprise AI Consulting Practice and work collaboratively with client executives, enterprise architects, engineering teams, and security/data leaders to design, build, and deploy production‐grade AI solutions that deliver measurable business value.This role emphasizes delivery leadership and hands‐on technical depth, with less focus on executive sponsorship and more accountability for solution quality, execution rigor, and team outcomes.In This Role, You WillLead multi‐workstream enterprise AI and GenAI delivery programs, owning scope, planning, staffing models, dependencies, risk management, and client communicationsArchitect and oversee key technical decisions, including model selection, RAG design, context schemas, orchestration patterns, tool‐use strategies, memory design, and evaluation frameworksEstablish and enforce engineering and delivery standards (ADLC‐style phases, quality gates, testing/evaluations, observability, and release readiness) to ensure production‐grade outcomesPartner with enterprise architects to integrate AI capabilities across ERP, SCM, CRM, data platforms, identity, and middleware layersTranslate ambiguous business requirements into clear backlogs, technical specifications, and acceptance criteria, enabling rapid iteration while protecting security and complianceBuild reusable AI delivery assets, including reference architectures, accelerators, prompt and context libraries, evaluation harnesses, and delivery playbooksCoach and mentor senior engineers and architects through design reviews, code reviews, and hands‐on problem solving, raising the bar on engineering quality across teamsConsistently demonstrate the Cognizant Way to Lead, balancing client focus, delivery accountability, and financial disciplineWork ModelWe 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.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 Considered15-20 years of experience in software engineering, solution architecture, or enterprise technology deliveryProven experience delivering production enterprise systems in complex, regulated environmentsHands‐on experience designing and guiding delivery of LLM‐powered applications, including RAG pipelines, tool‐use agents, and multi‐step workflowsStrong command of cloud‐native architectures (APIs, microservices, event‐driven systems), plus security and observability best practicesPractical experience with embeddings, semantic search, vector databases, re‐rankers, and RAG evaluation frameworksExperience integrating AI solutions with enterprise platforms, data systems, and systems‐of‐recordDemonstrated delivery leadership across large transformation programs (ERP modernization, cloud migration, data transformation)Comfort operating in regulated environments, with strong attention to privacy, security, auditability, and data residencyEmbodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business.These Will Help You SucceedDeep understanding of enterprise data architecture, governance, lineage, and operationalization for AI context and retrievalStrong experience with prompt and context engineering, including structured outputs and tool‐use promptingExperience designing agentic systems using orchestration frameworks or custom implementationsExposure to DevSecOps, MLOps, or LLMOps practices in enterprise settingsPrior client‐facing consulting or embedded engineering experience in a professional services environmentBachelor's or Master's degree in Computer Science, Engineering, or related field; cloud certifications (AWS, Azure, GCP) preferredCompensationThe annual base salary for this position is $162,000 - $257,000, based on experienceThis position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.BenefitsCognizant offers a competitive benefits package, which may include:Medical, dental, vision, and life insurance401(k) plan with employer contributionsEmployee stock purchase planEmployee assistance programPaid holidays and paid time offPaid parental leave and fertility assistanceLearning and development programs and certifications