Role Overview
We are seeking an experienced GenAI Solution Architect with strong expertise in designing, developing, and deploying enterprise-scale Generative AI solutions.
The ideal candidate will be responsible for defining end-to-end architecture, guiding technical implementation, and collaborating with stakeholders to deliver scalable, secure, and business-aligned AI solutions across cloud and hybrid environments.
Required Skills & Qualifications
Technical Skills
Proven experience designing and implementing end-to-end Generative AI solutions.
Strong knowledge of LLMs, RAG, AI Agents, Prompt Engineering, and Vector Databases.
Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
Strong hands-on coding experience in:
Python
SQL
REST APIs
Microservices Architecture
Expertise in cloud-native architecture and distributed systems.
Preferred Qualifications
Experience with MLOps, LLMOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
Familiarity with Vector Databases such as Pinecone, Weaviate, Chroma, or Azure AI Search.
Certification in Azure, AWS, Google Cloud Platform, or AI-related technologies.
Experience working in customer-facing consulting or solutioning roles.
Experience
12+ years of overall IT experience.
5+ years in Solution Architecture.
3+ years of hands-on experience in Generative AI, LLM, and AI solution development.