Principal AI

Aptus Data Labs; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

High technical ownership

Work on complex AI challenges

Job summary

A global AI and Data Engineering firm in Bengaluru is seeking a Principal AI Engineer to drive the design, development, and deployment of advanced AI solutions. The ideal candidate will possess strong hands-on expertise, demonstrate deep architectural ownership, and have a proven ability to influence AI direction. Responsibilities include overseeing architecture, contributing to AI development, and establishing governance frameworks. Applicants should have over 8 years in AI/ML, with expertise in Python and experience with cloud technologies.

Qualifications

• 8+ years of experience in AI/ML, Data Science, or Applied Machine Learning.
• Strong hands-on experience with Generative AI and LLM-based systems.
• Experience with RAG, vector databases, and AI evaluation techniques.
• Experience with RAG, vector databases, and AI evaluation techniques.
• Strong cloud experience on AWS, Azure, or GCP.
• Experience with MLOps, CI/CD, monitoring, Docker, Kubernetes.

Responsibilities

• Lead the end-to-end design and architecture of AI/ML/GenAI solutions.
• Make key decisions on model selection and deployment strategies.
• Actively contribute to building and deploying AI solutions.
• Ensure AI solutions are secure, scalable, reliable, and cost-efficient.
• Actively contribute to building, optimizing, and deploying AI solutions.
• Define and contribute to the AI roadmap aligned with business and product goals.
• Identify and prioritize high-impact AI usecases.
• Guide AI initiatives from PoC to production and scale.
• Mentor engineers through technical guidance and best practices.

Skills

Generative AI expertise

Python proficiency

ML/DL frameworks (PyTorch, TensorFlow)

MLOps experience

Cloud platforms (AWS/Azure/GCP)

RAG

Vector databases

Cloud: AWS/Azure/GCP

MLOps / CI/CD

Docker

Kubernetes

Tools

Docker

Kubernetes

Vector databases

Kubernetes

CI/CD tools

Vector databases

Job description

Bangalore North, India | Posted on 03/02/2026

Aptus Data Labs is a global Data Engineering and AIconsulting company helping enterprises modernize their data landscape,accelerate AI adoption, and build scalable digital and product capabilities.With deep expertise across AI, Generative AI, Data Engineering, Cloud, andindustry platforms, we empower organizations in Pharmaceutical, Banking &Finance, Manufacturing & Supply Chain, Retail & CPG, and Technology(Software & Platform) to achieve measurable business outcomes and long-termcompetitive advantage.

Job Summary

We are looking for a Principal AI Engineer to drivethe design, development, and deployment of advanced AI and Generative AIsolutions. The role requires strong hands-on expertise, deep architecturalownership, and the ability to influence AI direction through technicalleadership, roadmap definition, and governance.

Key Responsibilities

Technical Ownership & Architecture

· Lead the end-to-end design and architecture ofAI / 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, anddeploying AI solutions.

· Implement and refine LLM-based applications,including:

o Fine-tuning and evaluation

o Agentic workflows

· Troubleshoot production AI issues related toaccuracy, latency, and performance.

· Define and contribute to the AI roadmap alignedwith business and product goals.

· Identify and prioritize high-impact AI usecases.

· Guide AI initiatives from PoC to production andscale.

AI Governance & Standards

· Establish AI governance frameworks covering datausage, model and prompt versioning, monitoring, and security.

· Implement safeguards for data privacy, biasmitigation, and responsible AI practices.

· Support compliance and audit requirements for AIsystems.

· Act as a technical authority across AIinitiatives.

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

· Review AI designs, architectures, andimplementations.

· Mentor engineers through technical guidance andbest practices.

Nice to Have

· Experience with agentic AI or multi-agentsystems.

· Knowledge of AI governance, ethics, andcompliance.

· 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.

Requirements

Required Skills & Experience

• 8+years of experience in AI/ML, DataScience, or Applied Machine Learning.
  
• Strong hands-on experience with Generative AIand LLM-based systems.
  
• Proficiency in Python and ML/DL frameworks(PyTorch, TensorFlow).
  
• Experience with RAG, vector databases, and AIevaluation techniques.
  
• Strong cloud experience on AWS / Azure / GCP.
  
• Experience with MLOps, CI/CD, monitoring,Docker, Kubernetes.