Principal AI Engineer

Amoli Talents; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Amoli Talents seeks a senior AI architect to lead enterprise GenAI initiatives. You will design cross-functional architectures for GenAI systems, establish governance standards, and drive scalable deployment patterns across product teams, engineering pods, and data science.

Responsibilities include mentoring teams, evaluating new AI tools, and shaping long-term AI strategy while ensuring security, privacy, and ethical usage across regions and platforms.

Qualifications

• 8+ years of experience in AI/ML system design, with GenAI/LLM focus.
• Production-grade GenAI platforms or frameworks at scale experience.
• Strong Python proficiency with GenAI libraries (OpenAI, transformers, LangChain).
• Experience integrating AI into cloud environments (Azure preferred).
• Knowledge of AI security, privacy, governance, and mitigation of hallucinations.

Responsibilities

• Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration.
• Establish AI governance standards including security, ethical usage, context management, and explainability.
• Lead evaluation and integration of emerging AI tooling and frameworks across infra and observability.
• Cross-functional advisory on LLM implementation across product teams, engineering pods, and data science.
• Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns.
• Review and challenge architectural proposals to align with long-term AI strategy.
• Build internal capability around GenAI innovation, including mentoring, tech talks, and hackathons.
• Support cross-region scalability, data sensitivity considerations, and deployment performance benchmarking.
• Stay abreast of industry trends and translate them into actionable design or investment recommendations.

Skills

GenAI system design

Production GenAI platforms

Python

Azure cloud integration

AI governance & security

Tools

OpenAI libraries

Transformers

Pydantic

LangChain

FAISS

Pinecone

Job description

Roles and Responsibilities

• Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
• Establish AI governance standards including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
• Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
• Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
• Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns
• Review and challenge architectural proposals from Lead Engineers and ensure alignment with long-term AI strategy
• Build and drive internal capability around GenAI innovation, including mentoring, tech talks, and hackathons
• Support cross-region scalability, data sensitivity considerations, and deployment performance benchmarking
• Stay abreast of industry trends and translate them into actionable design or investment recommendations

Required Skills

• 8+ years of experience in AI/ML system design, with solid implementation in GenAI, LLMs, or agentic architectures
• Proven experience in architecting production-grade GenAI platforms or frameworks at scale
• Deep proficiency in Python, with mastery over GenAI libraries: OpenAI, transformers, Pydantic, Lang chain, faiss, pinecone, etc.
• Demonstrated experience integrating AI into cloud environments (Azure preferred: Databricks, Azure Foundry)
• Strong knowledge of AI security, privacy frameworks, hallucination mitigation, and governance