Remote GenAI Architect: GCP ML & Systems Leader

Cognizant; Dallas (TX); Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

401(k) Plan

Disability Insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a senior GenAI Architect in the United States (Dallas area) to design scalable GenAI architectures and integrate AI capabilities into customer-facing and internal products.

Expertise in LLMs, foundation models, RAG, vector databases, and multi-agent orchestration is required, along with strong ML fundamentals and cloud/MLOps experience. This role emphasizes security, governance, and responsible AI practices.

Qualifications

• Strong understanding of Generative AI models (LLMs, multimodal models, embeddings).
• Hands-on experience with foundation models and model adaptation techniques.
• Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.
• Grounding in ML fundamentals, including supervised/unsupervised learning, evaluation metrics, and inference optimization.
• Ability to design scalable GenAI architectures for production use.
• Experience with RAG architectures, vector databases, and multi-agent systems.
• Knowledge of low-latency inference, model routing, and fallback strategies.
• Familiarity with event-driven, microservices, and API-first architectures.
• Experience integrating GenAI into customer-facing and internal products.
• Ability to translate product requirements into AI-driven capabilities and designs.
• Familiarity with A/B testing, feature flags, and iterative product releases involving AI.
• Data pipelines, feature engineering, unstructured data processing.
• Knowledge graphs, metadata-driven architectures, document ingestion and chunking.
• Data quality, provenance, governance for AI systems.
• Cloud-native environments (GCP) and MLOps practices.
• Model versioning, deployment pipelines, monitoring, logging, drift detection.
• Containerization, Kubernetes, CI/CD pipelines.
• Inference optimization and cost-control strategies.
• Understanding AI security risks; guardrails, content filters, policy enforcement; responsible AI and privacy regulations.

Responsibilities

• Design scalable GenAI architectures for production use.
• Integrate GenAI capabilities into customer-facing and internal products.
• Translate product requirements into AI-driven capabilities and designs.
• Apply A/B testing, feature flags, and iterative releases involving AI.
• Implement guardrails, content filters, and governance for AI systems.

Skills

GenAI expertise

ML fundamentals

Prompt engineering

Microservices & API-first

Tools

Kubernetes

CI/CD

GCP

Vector databases

RAG architectures

Job description

Cognizant is seeking a senior GenAI Architect in the United States (Dallas area) to design scalable GenAI architectures and integrate AI capabilities into customer-facing and internal products.

Expertise in LLMs, foundation models, RAG, vector databases, and multi-agent orchestration is required, along with strong ML fundamentals and cloud/MLOps experience. This role emphasizes security, governance, and responsible AI practices.