Role overview
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 Consulting
Cognizant 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 Role
As 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 Will
Lead multi‑workstream enterprise AI and GenAI delivery programs , owning scope, planning, staffing models, dependencies, risk management, and client communications
Architect and oversee key technical decisions , including model selection, RAG design, context schemas, orchestration patterns, tool‑use strategies, memory design, and evaluation frameworks
Establish and enforce engineering and delivery standards (ADLC‑style phases, quality gates, testing/evaluations, observability, and release readiness) to ensure production‑grade outcomes
Partner with enterprise architects to integrate AI capabilities across ERP, SCM, CRM, data platforms, identity, and middleware layers
Translate ambiguous business requirements into clear backlogs, technical specifications, and acceptance criteria , enabling rapid iteration while protecting security and compliance
Build reusable AI delivery assets , including reference architectures, accelerators, prompt and context libraries, evaluation harnesses, and delivery playbooks
Coach and mentor senior engineers and architects through design reviews, code reviews, and hands‑on problem solving , raising the bar on engineering quality across teams
Consistently demonstrate the Cognizant Way to Lead , balancing client focus, delivery accountability, and financial discipline 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.
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
15–20 years of experience in software engineering, solution architecture, or enterprise technology delivery
Proven experience delivering production enterprise systems in complex, regulated environments
Hands‑on experience designing and guiding delivery of LLM‑powered applications , including RAG pipelines, tool‑use agents, and multi‑step workflows
Strong command of cloud‑native architectures (APIs, microservices, event‑driven systems), plus security and observability best practices
Practical experience with embeddings, semantic search, vector databases, re‑rankers, and RAG evaluation frameworks
Experience integrating AI solutions with enterprise platforms, data systems, and systems‑of‑record
Demonstrated 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 residency
Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business. These Will Help You Succeed
Deep understanding of enterprise data architecture , governance, lineage, and operationalization for AI context and retrieval
Strong experience with prompt and context engineering , including structured outputs and tool‑use prompting
Experience designing agentic systems using orchestration frameworks or custom implementations
Exposure to DevSecOps, MLOps, or LLMOps practices in enterprise settings
Prior client‑facing consulting or embedded engineering experience in a professional services environment
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; cloud certifications (AWS, Azure, GCP) preferred Compensation
The annual base salary for this position is $162,000 - $257,000, 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. Benefits
Cognizant offers a competitive benefits package, which may include:
Medical, dental, vision, and life insurance
401(k) plan with employer contributions
Employee stock purchase plan
Employee assistance program
Paid holidays and paid time off
Paid parental leave and fertility assistance
Learning and development programs and certifications