Role: “GenAI Solution Architect - Copilot”
Location: San Jose, CA (Onsite)
Position: Fulltime
Job Description:
Exp. Required: 12+ Year’s
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.
Key Responsibilities
Solution Architecture & Design
· Design and defend end-to-end Generative AI architectures encompassing:
o Data Layer
o Model Layer
o Orchestration Layer
o Integration Layer
o Security & Governance Layer
· Define architecture blueprints, technical standards, and best practices for GenAI implementations.
· Translate business requirements into scalable and secure AI-driven solutions.
· Evaluate and recommend appropriate LLMs, AI frameworks, vector databases, and orchestration platforms.
GenAI Implementation
· Develop and implement GenAI solutions using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, and AI orchestration platforms.
· Design and implement Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, and Knowledge Management solutions.
· Integrate AI solutions with enterprise applications, APIs, and data platforms.
· Lead deployments across cloud platforms such as Azure, AWS, and Google Cloud Platform.
· Architect hybrid solutions spanning on-premises and cloud environments.
· Ensure high availability, scalability, security, and performance of AI systems.
Hands-on Engineering
· Contribute actively to coding, solution development, and technical problem-solving.
· Review code, establish development standards, and mentor engineering teams.
· Develop proof-of-concepts (POCs), accelerators, and reusable assets.
Stakeholder Management
· Work closely with business stakeholders, product teams, and engineering groups.
· Present architectural solutions and technical recommendations to leadership and clients.
· Support technical discussions, architecture reviews, and client workshops.
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:
o Python
o SQL
o REST APIs
o 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.
Education
· Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
