Job Title: Principal AI

Experience: 8+ yrs

Employment Type: Full-time

Location: Bangalore

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.
- 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.

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.

Requirements

- 8+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.
- Solid cloud experience on AWS / Azure / GCP.
- Experience with MLOps, CI/CD, monitoring, Docker, Kubernetes.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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