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Teachmint
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Head of AI/ML Architecture

Head of AI/ML Architecture

Teachmint

8 - 12 years

25 - 30 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

computer science head business development automation backend front end architecture artificial intelligence data quality monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As the Head of AI/ML Architecture, you will own the strategy and vision of the organization s AI ecosystem. You ll lead cross-functional teams and drive the adoption of cutting-edge paradigms like Generative AI and transformers, and build platforms that power innovation, personalization, and intelligence across products.

Key Responsibilities:

AI/ML Architecture & Strategy

Define the long-term AI/ML architecture strategy, frameworks, and standards aligned with business objectives.
Architect end-to-end ML systems from data ingestion and feature engineering to model training, deployment, and monitoring.
Lead the adoption of modern AI paradigms, including Generative AI, LLMs, and multimodal learning.
Drive architectural excellence for high availability, low latency, and scalability of AI workloads.

Platform & Infrastructure Leadership

Design and oversee the AI/ML infrastructure on cloud platforms (AWS, Azure, GCP) including MLOps pipelines, model registries, and monitoring frameworks.
Partner with engineering teams to ensure seamless integration of ML models into production systems.
Establish governance frameworks for data quality, model reproducibility, and lifecycle management.

Innovation & Applied AI

Collaborate with product and research teams to explore emerging AI technologies and evaluate their applicability in solving business problems.
Build reusable AI components, APIs, and services that accelerate innovation across business verticals.
Lead the development of generative AI and advanced analytics capabilities that power personalization, automation, and predictive insights.

Team Leadership & Collaboration

Build and mentor a world-class team of AI architects, ML engineers, and data scientists.
Foster a culture of engineering excellence, continuous learning, and experimentation.
Partner with business, product, and data leaders to translate strategic needs into scalable AI solutions.
Implement robust monitoring for model drift, bias detection, and performance degradation.

Key Requirements

8-12+ years of experience in technology roles with at least 4+ years in leading AI/ML architecture or platform engineering teams.
Deep expertise in ML algorithms, distributed computing, data pipelines, and model deployment architectures.
Proven experience architecting AI systems at scale using modern MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI, etc.).
Should be able to demonstrate adoption of AI paradigms, with a solid grasp of machine translation techniques and transformer-based AI models.
Strong command of data engineering technologies (Spark, Kafka, Airflow, Snowflake, etc.).
Proficiency in programming languages like Python, Java, or Scala.
Strong understanding of LLMs, vector databases, retrieval-augmented generation (RAG), and prompt optimization frameworks.
Excellent stakeholder management, leadership, and communication skills.

Preferred Qualifications

Prior experience building AI architecture in SaaS/platform / enterprise-scale environments.
Exposure to edge AI, reinforcement learning, or autonomous systems.
Degree in Computer Science, Artificial Intelligence, or a related field.

Why Join Us

Shape the AI architecture vision of a forward-thinking, technology-first organization.
Lead mission-critical AI initiatives that drive real-world impact.
Collaborate with exceptional teams at the forefront of AI transformation.

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