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 – AI, 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
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
