Senior Generative AI Architect — Cloud-Native LLM Solutions

Coforge; Atlanta (GA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

Coforge is seeking a Senior Generative AI Architect in Atlanta, GA, to design and scale enterprise AI solutions. The role emphasizes hands-on work with Generative AI, architecture decisions, and end-to-end AI delivery for customer experiences.

The ideal candidate will lead model selection, tooling integration (LangChain, LLM frameworks), and scalable deployment strategies in a cloud-native environment, ensuring observability and ongoing optimization.

Qualifikationen

• Hands-on experience with Generative AI architectures and enterprise deployments.
• Proven ability to design and scale AI-driven customer experiences.
• Experience with cloud-native architectures and containerized deployments.

Aufgaben

• Fine-tune models and define training iterations with clear convergence criteria.
• Assess model architectures (Transformer vs classical ML) and justify choices.
• Distinguish pre-trained vs. custom models and select appropriate approaches.
• Define loss functions and rationales; address gradient issues.
• Handle data imbalance with resampling or synthetic data; ensure robustness.
• Implement ranking mechanisms and monitor model drift; plan remediation.
• Design monitoring, evaluation, and retraining pipelines; establish observability.
• Plan deployment validation and AB testing strategies; optimize latency, cost, and accuracy.

Kenntnisse

Generative AI

Model fine-tuning

Prompt engineering

LLM design

RAG

LangChain

Semantic Kernel

AutoGen

CrewAI

Vector DBs

Pinecone

FAISS

Weaviate

Azure AI Search

Docker

Kubernetes

Observability

A/B testing

Memory management

Orchestration patterns

Retrieval-augmented generation

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Jobbeschreibung

Coforge is seeking a Senior Generative AI Architect in Atlanta, GA, to design and scale enterprise AI solutions. The role emphasizes hands-on work with Generative AI, architecture decisions, and end-to-end AI delivery for customer experiences.

The ideal candidate will lead model selection, tooling integration (LangChain, LLM frameworks), and scalable deployment strategies in a cloud-native environment, ensuring observability and ongoing optimization.