Practice - AIA - Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Summary
We are seeking a senior Forward Deployed AI Engineer to architect, build, and operationalize enterprise-scale AI systems for complex client transformation programs. This role combines hands-on engineering with enterprise AI architecture, responsible AI governance, and executive-level technical advisory. The engineer will work alongside client and delivery teams to design human-agent operating models, agentic workflows, context pipelines, and regulated AI decisioning solutions. Success will be measured by sustainable customer outcomes, production adoption, and the capability transferred to client teams.
In this role, you will:
· Design and deliver AI-native enterprise architectures spanning applications, data platforms, business processes, and cloud environments.
· Build production-grade Generative AI, RAG, and agentic AI solutions, taking ownership from architecture and prototyping through deployment and operation.
· Define human-agent capability matrices, operating models, escalation paths, and human-in-the-loop controls for enterprise workflows.
· Architect context pipelines, knowledge orchestration frameworks, multi-agent systems, and cross-platform AI integrations.
· Develop guardrail specifications covering agent boundaries, tool access, data handling, autonomy, safety, and exception management.
· Establish responsible AI controls for bias detection, explainability, transparency, auditability, model risk, and regulatory compliance.
· Lead client architecture workshops, technical discovery sessions, design reviews, and executive-level solution discussions.
· Define standards for AI-generated code quality, validation, security, testing, observability, and production readiness across the AI application development lifecycle.
· Evaluate frontier models through structured benchmarking, red teaming, safety testing, and business-use-case validation.
· Mentor AI engineers and architects while developing reusable reference architectures, accelerators, playbooks, and delivery standards.
What you need to have to be considered
· 12–20 years of experience in enterprise technology, including significant leadership in AI architecture, solution architecture, or digital transformation.
· Proven experience designing and delivering enterprise-scale Generative AI, RAG, LLM, and agentic AI solutions in production environments.
· Strong hands-on software engineering experience with Java, .NET, Python, or comparable enterprise application technologies.
· Deep understanding of multi-agent architectures, context engineering, knowledge orchestration, tool use, memory, planning, and human-agent collaboration patterns.
· Experience defining responsible AI frameworks, agent guardrails, evaluation standards, audit controls, and regulated AI decisioning models.
· Strong knowledge of cloud-native AI architecture, APIs, microservices, data platforms, DevSecOps, MLOps, AIOps, and enterprise integration patterns.
· Experience evaluating frontier models, conducting AI red-team exercises, and defining AI quality, security, performance, and safety criteria.
· Demonstrated ability to lead client architecture forums and advise executive, business, risk, and technology stakeholders.
· Experience delivering AI solutions in regulated industries such as financial services, healthcare, life sciences, insurance, or government is preferred.
· Strong technical leadership, consulting, communication, stakeholder management, and business-outcome orientation.
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Applications will be accepted until 23 Oct 2026.
Salary and Other Compensation:
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
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 the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
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。
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