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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
