Description

Architect enterprise-scale Generative AI solutions, defining strategy for LLMs, RAG pipelines, and multi-agent orchestration across cloud ecosystems.

This role is remote.

Responsibilities

• Design scalable AI microservices, APIs, and RAG architectures integrated into Azure, AWS, or GCP environments.
• Define AI assurance strategies, evaluation metrics, and governance frameworks for model lifecycle management.
• Lead technical solutioning, RFP responses, and client engagements to translate business problems into AI blueprints.
• Build reusable AI accelerators and standardize deployment, evaluation, and observability practices.
• Mentor engineering teams on AI-first design principles, MLOps/LLMOps, and responsible AI compliance.

Required Skills

• 15+ years in software engineering or solution architecture.
• 5+ years hands-on experience in AI/ML, NLP, or Generative AI system design.
• Deep expertise in LLMs, vector databases, and orchestration frameworks (LangChain, LangGraph, LlamaIndex).
• Strong understanding of RAG, fine-tuning (LoRA/QLoRA), embeddings, and prompt engineering.
• Expertise in cloud-native AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI).
• Proven ability to integrate AI models via APIs, microservices, and event-driven architectures.
• Experience leading PoCs, pilots, and enterprise AI transformations.

Preferred Skills

• Experience building Gen AI Centers of Excellence or agentic AI systems.
• Certifications in AI/ML or cloud architecture (Azure/AWS/GCP).

Key Skills

Education

Bachelor's degree