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
MLOps / LLMOps, security & Responsible AI ”
Role Descriptions:
1.Strong understanding of LLMs and GenAI concepts (RAG| embeddings| vector databases| agents)
2.Handson experience with GenAI platforms such asAWS Bedrock Azure OpenAI Opensource frameworks (LangChain| LlamaIndex| CrewAI| LangGraph| etc.)
3.Cloud architecture expertise (AWS Azure )
4.API| microservices| and integration architecture experience
5.Data engineering and data platform knowledge (structured unstructured data)
6.Experience designing enterprisescale AIML or GenAI solutions
7.Experience in agentic AI| workflow automation| or AI copilots
8.Exposure to MLOps LLMOps and model lifecycle management
9.Strong understanding of nonfunctional requirements security| scalability| performance| cost
10.Familiarity with Agile delivery models and DevSecOps practices
11.Strong communication and presentation skills
12.Ability to engage with senior stakeholders and customers
13.Leadership and mentoring capabilities
Skills: Digital : Python~Digital : Machine Learning~Digital : DevOps~Digital : Microservices~Generative AI Experience Required: 10 & Above