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EvoluteIQ Logo EvoluteIQ · IT - Software Development

Principal AI Architect

India, Bengaluru · Job Posted December 08, 2025
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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)

Nice 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
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