Principal AI Architect

EvoluteIQ AB; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Benefits offered by this job

Competitive compensation

Growth opportunities

Innovation-driven environment

Job summary

EvoluteIQ AB is looking for an AI Architect based in Bangalore. This role requires a seasoned professional with 12+ years of experience to lead AI/ML solutions in their GenAI powered low-code automation platform. Responsibilities include overseeing AI pipelines, collaborating with cross-disciplinary teams, and ensuring model compliance with regulation.

Competitive compensation with opportunities for growth is offered, in a culture that values diverse backgrounds and continuous learning.

Qualifications

• 12+ years of experience in data science, ML engineering and AI system architecture.
• Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch.
• Knowledge of compliance frameworks like SOC2 and GDPR.

Responsibilities

• Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference.
• Collaborate with teams to translate business problems into AI-driven solutions.
• Integrate models into production systems ensuring low latency, scalability, and reliability.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

spaCy

MLOps tools (MLflow, Kubeflow, etc.)

Spark

Kafka

Airflow

Docker

Kubernetes

AWS

GCP

Azure

Job description

Job Type:

Permanent

Experience:

12+ Years

Location:

Bangalore

Role Overview

We are 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 at EvoluteIQ:

• Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference.
• Define and implement scalable AI infrastructure for training, deployment, and continuous integration (MLOps).
• Collaborate with data scientists, ML engineers, product manager, and product teams to translate business problems into AI-driven solutions.
• Establish frameworks for model governance, versioning, reproducibility, and explainability.
• Integrate models into production systems ensuring low latency, scalability, and reliability.
• Define data strategy, storage, and access patterns to support AI workloads.
• Build solutions to monitor model performance, drift, and data quality, implementing continuous retraining strategies.
• Ensure compliance with ethical AI, data privacy, and security best practices.
• Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack.

What will you bring to the team?

• 12+ years of experience in data science, ML engineering and AI system architecture.
• Hands‑on experience with Python, TensorFlow, PyTorch, Scikit‑learn, spaCy and related AI/ML frameworks.
• Expertise in MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker.
• Proficiency in data processing technologies (Spark, Kafka, Airflow) and data modeling.
• Strong background in deploying models such as APIs or services using Docker, Kubernetes, and REST/gRPC.
• Experience designing data pipelines and integrating AI with production systems.
• Should have an understanding of prompt engineering, LLM fine‑tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate).
• Knowledge of cloud AI services (AWS, GCP, Azure) and distributed computing architectures.
• Proven experience implementing observability for models (drift, accuracy, bias, and performance).

Good To Have:

• Experience in architecting AI/ML components for low-code/no-code or automation platforms.
• Exposure to GenAI, agentic systems, and conversational AI deployment pipelines.
• Knowledge of compliance frameworks like SOC2, GDPR, and Responsible AI principles.
• Contributions to open-source AI or ML tooling projects.

What We Offer

• Opportunity to shape the strategy of a next‑gen hyper‑automation platform.
• Work with a cross‑disciplinary team in a fast‑growing, innovation‑driven environment.
• Competitive compensation and growth opportunities.
• A culture of innovation, ownership, and continuous learning.

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, colour, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.