AI Architect/Engineer

Fulltime

Bengaluru Key Responsibilities

Design, develop, and deploy AI/ML solutions that solve complex business problems.

Build and optimize supervised and unsupervised machine learning models for classification, prediction, clustering, anomaly detection, recommendation systems, and pattern recognition.

Evaluate business use cases and determine the most suitable algorithms, models, and architectures based on data characteristics and desired outcomes.

Architect and implement multi-agent AI systems using modern orchestration frameworks.

Develop intelligent workflows using frameworks such as LangGraph, LangChain, Microsoft Agent Framework, and related ecosystems.

Build enterprise-grade natural language query systems such as:

NL2SQL

NL2Cypher

NL2GraphQL

Design and integrate data platforms leveraging:

Relational databases

Columnar databases

Document stores

Graph databases

Vector databases (preferred)

Establish observability, monitoring, tracing, and debugging capabilities for AI/agent systems.

Ensure AI systems are secure, scalable, resilient, and production-ready.

Implement governance and compliance controls within agent systems, including access policies, guardrails, auditability, and regulatory alignment.

Apply strong software engineering principles, design patterns,



and architectural best practices to AI solutions.

Collaborate with cross-functional teams including product, engineering, data, and business stakeholders.

Required

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

8+ years of experience in software engineering, data science, machine learning, or AI engineering roles.

Strong expertise in Machine Learning fundamentals, including:

Supervised Learning

Unsupervised Learning

Feature Engineering

Model Evaluation

Hyperparameter Tuning

Drift Detection / Model Monitoring

Deep understanding of when to use which ML algorithm based on problem type, dataset quality, scale, and explainability needs.

Hands-on experience with Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.

Experience with up-to-date AI orchestration frameworks such as:

LangGraph

Microsoft Agent Framework

Similar agentic AI platforms

Strong knowledge of data storage technologies:

SQL / Relational databases

NoSQL / Document stores

Columnar warehouses

Graph databases

Experience designing secure and scalable distributed systems.

Solid understanding of software design patterns and enterprise architecture patterns.

📌 AI/ML Architect (Bengaluru)
🏢 Aezion
📍 Bengaluru