Job Title: Senior AI Engineering Lead

Location: Bangalore /Pune

Experience :12+ Years (with 5+ years in AI/ML Platform Engineering and GenAI Solutions)

Role Overview

We are seeking an experienced AI Platform Architect to design, build, and scale enterprise-grade AI platforms and services. The ideal candidate will possess deep expertise in GenAI architectures, Agentic AI systems, Distributed Computing, RAG frameworks, Model Serving, and Cloud-native technologies. This role will be responsible for defining AI engineering standards, driving platform reliability and security, mentoring engineering teams, and collaborating with product and architecture stakeholders to deliver cutting-edge AI solutions.

Key Responsibilities

- Design and own core AI platform capabilities supporting enterprise-scale AI and GenAI initiatives.
- Architect scalable AI services, retrieval frameworks, knowledge systems, and Agentic AI ecosystems.
- Design and optimize Retrieval-Augmented Generation (RAG) architectures for performance, accuracy, and cost efficiency.
- Lead development of multi-agent and autonomous AI systems using modern Agentic AI design patterns.
- Build and maintain highly scalable model serving platforms for LLMs and AI workloads.
- Drive platform reliability, observability, security, governance, and operational excellence.
- Define engineering standards, architecture principles, coding guidelines, and best practices.
- Design cloud-native AI infrastructure leveraging Kubernetes and modern container orchestration technologies.
- Collaborate with Product Managers, Enterprise Architects, Data Scientists,



and Engineering teams to translate business requirements into scalable AI solutions.
- Mentor technical teams and establish a culture of innovation, quality, and continuous improvement.
- Lead AI platform governance, compliance, Responsible AI practices, and risk management initiatives.
- Evaluate emerging AI technologies, frameworks, and tools to ensure platform competitiveness and innovation.

Required Technical Skills

- Advanced Python Programming
- Distributed Systems Architecture
- GenAI Architecture Design
- Agentic AI Design Patterns
- Retrieval-Augmented Generation (RAG)
- Model Serving & Inference Optimization
- Kubernetes & Container Orchestration
- Cloud Platforms (Azure, AWS, GCP)
- Responsible AI and AI Governance
- LLMOps / MLOps

Preferred Skills

- LangChain, LangGraph, Semantic Kernel
- Vector Databases (Pinecone, Weaviate, ChromaDB, Azure AI Search)
- API Development (FastAPI, Flask)
- Event-Driven Architectures
- Knowledge Graphs
- AI Security and Compliance
- Monitoring & Observability Platforms
- CI/CD and Infrastructure as Code

Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
- 12+ years of software engineering experience.
- Proven experience building large-scale distributed platforms.
- Hands-on expertise with LLMs, RAG, Agentic AI architectures, and AI deployment platforms.
- Strong experience with cloud-native technologies and Kubernetes.
- Demonstrated success leading technical teams and strategic architecture initiatives.

📌 Senior AI Engineering Lead (Bengaluru)
🏢 Edgeverve
📍 Bengaluru