Principal AI Architect

EvoluteIQ; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

EvoluteIQ is seeking an experienced AI Architect to lead the design and implementation of AI/ML solutions. The ideal candidate has 12+ years of experience in hands-on system design, deploying models into production, and building AI products from scratch. Responsibilities include designing MLOps pipelines and mentoring teams. This role offers the opportunity to work on GenAI-powered products in an inclusive workplace that values diverse backgrounds.

Qualifications

• 12+ years in AI/ML with strong hands-on system design & deployment experience.
• Proven track record of building AI products from scratch.
• Experience with deploying models into production.

Responsibilities

• Build and scale GenAI-powered products on a low-code/automation platform.
• Design robust MLOps pipelines (CI/CD, versioning, retraining, monitoring).
• Mentor teams and drive architecture decisions.

Skills

AI/ML system design

Python

MLOps tools

Data pipelines

Cloud platforms

Hands-on with LLMs / GenAI

Tools

PyTorch

TensorFlow

MLflow

Kubeflow

SageMaker

Docker

Kubernetes

Job description

EvoluteIQ is seeking an experienced AI Architect to lead the design, implementation, and governance of end to end AI/ML solutions across our GenAI powered low-code/AI automation platform. The ideal candidate has a proven track record of building, deploying, and managing scalable AI/ML systems - from data ingestion and feature engineering to model deployment, monitoring, and optimization in production environments.

What You’ll Do

• Build and scale GenAI-powered products on a low-code/automation platform
• Design robust MLOps pipelines (CI/CD, versioning, retraining, monitoring)
• Deploy models as scalable APIs/services with high performance
• Work closely with product & engineering to solve real business problems
• Mentor teams and drive architecture decisions

What We’re Looking For

• 12+ years in AI/ML with strong hands-on system design & deployment experience
• Proven track record of building AI products from scratch (0 to 1)
• Strong experience in Python + ML frameworks (PyTorch/TensorFlow)
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
• Solid understanding of data pipelines, cloud (AWS/GCP/Azure), Docker/K8s
• Hands‑on with LLMs / GenAI (RAG, fine‑tuning, vector DBs)

Not a Fit If

• You’ve only worked on POCs or research models
• You haven’t deployed models into production
• You rely heavily on other teams for implementation

We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.