Principal AI

Location: Bengaluru

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, Dev Ops, Security, and Business stakeholders.

· Review AI designs, architectures, and implementations.

· Mentor engineers through technical guidance and best practices.

Required Skills & Experience

· 10–15 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, Tensor Flow).

· 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.