Job Summary:
Core Generative AI & ML Expertise
- Strong understanding of Generative AI models (LLMs, multimodal models, embeddings).
- Hands-on experience with foundation models (e.g., GPT-style, Claude-style, LLaMA-style) and model adaptation techniques.
- Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.
- Solid grounding in machine learning fundamentals, including supervised/unsupervised learning, evaluation metrics, and inference optimization.
AI Architecture & System Design
- Ability to design scalable, modular GenAI architectures for production use.
- Experience with:
- RAG (Retrieval-Augmented Generation) architectures
- Vector databases (semantic search, embeddings indexing)
- Multi-agent systems and workflow orchestration
- Strong understanding of low-latency inference, model routing, and fallback strategies.
- Knowledge of event-driven, microservices, and API-first architectures.
Product Engineering & Integration
- Experience integrating GenAI capabilities into customer-facing and internal products.
- Ability to translate product requirements into AI-driven capabilities and technical designs.
- Familiarity with A/B testing, feature flags, and iterative product releases involving AI.
Data & Knowledge Engineering
- Proficiency in data pipelines, feature engineering, and unstructured data processing.
- Experience with:
- Knowledge graphs
- Metadata-driven architectures
- Document ingestion and chunking strategies
- Strong understanding of data quality, provenance, and governance for AI systems.
Cloud, MLOps & Platform Skills
- Strong experience in cloud-native environments (GCP).
- Familiarity with MLOps practices, including:
- Model versioning
- Deployment pipelines
- Monitoring, logging, and drift detection
- Experience with containerization, Kubernetes, and CI/CD pipelines.
- Knowledge of inference optimization and cost-control strategies.
Security, Privacy & Responsible AI
- Understanding of AI security risks (prompt injection, data leakage, model abuse).
- Experience implementing guardrails, content filters, and policy enforcement.
- Knowledge of responsible AI practices, including explainability, bias mitigation, and compliance.
- Familiarity with data privacy regulations (e.g., GDPR, enterprise governance standards).
Salary and Other Compensation:
The salary for this position is between $160,000 - $200,000k 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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
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。
