What are the responsibilities and job description for the Generative AI Solution Architect position at Flexon Technologies Talent360.ai?
Generative AI Solution Architect Agentic AI & GenAI Required Technical Skill Set: • Generative AI & LLMs (RAG, embeddings, prompt engineering) • Agentic AI & GenAI frameworks (LangChain, LlamaIndex, LangGraph) • Cloud AI platforms (Azure OpenAI, AWS Bedrock) • Cloud architecture (AWS / Azure) • MCP, API, microservices, and enterprise integrations • MLOps / LLMOps, security & Responsible AI Desired Experience Range: • 20 years of overall IT experience • 3 years of hands‑on experience in AI / ML / Generative AI solutioning • Prior experience as Solution Architect / Cloud Architect / AI Architect Desired Competencies (Technical/Behavioral Competency) Strong understanding of LLMs and GenAI concepts (RAG, embeddings, vector databases, agents) Hands‑on experience with GenAI platforms such as: AWS Bedrock & Azure OpenAI Open‑source frameworks (LangChain, LlamaIndex, CrewAI, LangGraph, etc.) Cloud architecture expertise (AWS & Azure ) MCP, API, microservices, and integration architecture experience Data engineering and data platform knowledge (structured & unstructured data) Experience designing enterprise‑scale AI/ML or GenAI solutions Experience in agentic AI, workflow automation, or AI copilots Exposure to MLOps / LLMOps and model lifecycle management Strong understanding of non‑functional requirements: security, scalability, performance, cost Familiarity with Agile delivery models and DevSecOps practices Strong communication and presentation skills Ability to engage with senior stakeholders and customers Leadership and mentoring capabilities
Salary : $55 - $65