Principal AI

Job Title: Principal AI

Experience: 10-15 yrs

Employment Type: Full-time

Job Summary

We are looking for a Principal AI Engineer to drive the design, development, and deployment of advanced AI and Generative AI solutions. The role requires strong hands-on expertise, deep architectural ownership, and the ability to influence AI direction through technical leadership, roadmap definition, and governance.

Key Responsibilities

Technical Ownership & Architecture

Lead the end-to-end design and architecture of AI / ML / GenAI solutions.

Make key decisions on model selection, frameworks, infrastructure, and deployment strategies.

Design scalable systems using LLMs, embeddings, vector databases, and AI pipelines.

Ensure AI solutions are secure, scalable, reliable, and cost-efficient.

Hands-on AI Development

Actively contribute to building, optimizing, and deploying AI solutions.

Implement and refine LLM-based applications, including:

Prompt engineering

RAG architectures

Fine-tuning and evaluation

Agentic workflows

Troubleshoot production AI issues related to accuracy, latency, and performance.

AI Roadmap & Strategy

Define and contribute to the AI roadmap aligned with business and product goals.

Identify and prioritize high-impact AI use cases.

Guide AI initiatives from PoC to production and scale.

AI Governance & Standards

Establish AI governance frameworks covering data usage, model and prompt versioning, monitoring, and security.

Implement safeguards for data privacy, bias mitigation, and responsible AI practices.

Support compliance and audit requirements for AI systems.

Collaboration & Influence

Act as a technical authority across AI initiatives.

Collaborate with Product, Engineering, DevOps, Security, and Business stakeholders.

Review AI designs, architectures, and implementations.

Mentor engineers through technical guidance and best practices.

Required Skills & Experience

1015 years of experience in AI/ML, Data Science, or Applied Machine Learning.

Strong hands-on experience with Generative AI and LLM-based systems.

Proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow).

Experience with RAG, vector databases, and AI evaluation techniques.

Strong cloud experience on AWS / Azure / GCP.

Experience with MLOps, CI/CD, monitoring, Docker, Kubernetes.

Nice to Have

Experience with agentic AI or multi-agent systems.

Knowledge of AI governance, ethics, and compliance.

Experience building AI-first or SaaS platforms.

Why Join Us

Opportunity to shape AI architecture, roadmap, and governance.

Work on complex, real-world GenAI challenges.

High technical ownership and impact.