Location: Chennai / Bangalore / Hyderabad
Role: Agentic AI Solution Architecture
Experience: 15+ Years
Certifications Required: (Any one of the following)
- Azure AI Engineer Associate
- Google Cloud Generative AI Leader
- AWS Certified AI Practitioner
- Claude Certified Architect certification
Responsibility Summary
- Set the technical vision for enterprisescale Agentic AI solutions.
- Own endtoend architecture: LLM selection, context engineering, microservices, integrations, and UI.
- Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.
- Engineer & validate AI agents for reliability, reasoning, safety, and performance.
- Lead PoCs, pilots, and phase0 MVPs across industries.
- Create thought leadership, reusable assets, and mentor engineering teams.
- Collaborate with hyper-scalers and product partners to craft nextgeneration AI-led experiences.
Qualifications:
- LLM-Native Foundation: Strong understanding of transformers, embeddings, tokenization, vector stores, HuggingFace ecosystem.
- Agentic Framework Expertise: Hands-on experience building real, shipped agents using LangGraph, CrewAI, Google ADK, CoPilot Studio, etc.
- Python Engineering: Proficient in building modular, scalable, production-grade Python libraries.
- Backend/API Engineering: Experience building and scaling FastAPI microservices, MCP/A2A integrations, and secure backend systems.
- DevSecOps Discipline: Hands-on with Docker, Git, CI/CD, and cloud-native workflows.
- Agentic AI Craftsmanship: Passionate builders who understand tools, memory, reasoning, and orchestration deeply.
- Engineers/architects who have shipped agentic solutions end-to-end—not just POCs.
- Strong in LLM orchestration, context engineering, microservices, API design, and integration patterns.
