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
A comunidade Cognizant:
Somos uma equipe de alto calibre que aprecia e apoia uns aos outros. Nosso pessoal defende um local de trabalho enérgico, colaborativo e inclusivo, onde todos possam prosperar.
- A Cognizant é uma comunidade global com mais de 300,000 funcionários em todo o mundo.
- Não sonhamos apenas com um caminho melhor – nós fazemos acontecer.
- Cuidamos de nossas pessoas, clientes, empresa, comunidades e clima fazendo o que é certo.
- Promovemos um ambiente inovador onde você pode construir o plano de carreira certo para você.
Quem somos:
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram retornos concretos e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em www.cognizant.com ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Disclaimer:
As informações de compensação são precisas a partir da data desta publicação. A Cognizant se reserva o direito de modificar essas informações a qualquer momento, sujeito à lei aplicável.
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.