Architect

Role Summary

Drive architecture, design, and implementation of enterprise‑grade AI/ML, NLP, and LLM-based systems. Lead model development, scalable backend engineering, and cloud AI integration.

Key Responsibilities

• Architect and build complex AI/ML/NLP and LangChain solutions
• Lead design of scalable Python-based backend and APIs
• Guide integration of ML models into production systems
• Partner with architects, data scientists, designers, and product teams for solution delivery
• Optimize models for performance, scalability, and accuracy
• Oversee CI/CD, cloud AI services, and MLOps workflows
• Mentor the engineering team; review high‑impact code
• Stay current on emerging AI, ML, NLP technologies

Mandatory Skills (with Experience)

• Python (AI/ML/NLP): 12–15 years
• LangChain: 5–7 years
• Cloud (GCP/Azure/AWS) + AI/MLOps: 6–8 years
• Enterprise API architecture (Python): 7+ years
• Ci/CD + Kubernetes + automation: 6–8 years
• Cross‑team leadership, communication & problem‑solving skills
• Good to Have: Multi‑language exposure (Java/C#/JavaScript), Cloud or AI certifications, Strong solution design & architectural documentation

Other details

Salary range: $90000 to $173500