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Solutions Architect
Solutions ArchitectHireologist • Bengaluru, Karnataka, India
Solutions Architect

Solutions Architect

Hireologist • Bengaluru, Karnataka, India
6 days ago
Job description

Job Title : Solution Architect – AI / ML

Experience : 8–12 Years

Location : (Hybrid / Remote) for Bangalore

Employment Type : Full-time

About the Role

We are seeking a Solution Architect with deep AI / ML expertise , strong hands-on experience in Node.js and Python , and the ability to own end-to-end product / solution delivery . The ideal candidate is both a technology strategist and a hands-on problem solver who can design, architect, and implement scalable systems independently.

Key Responsibilities

  • Lead solution architecture for AI / ML-driven products and enterprise applications.
  • Work hands-on to design, develop, and deploy scalable AI / ML systems using Python and related frameworks.
  • Build robust backend architectures using Node.js and modern cloud-native design patterns.
  • Translate business requirements into scalable, secure, and maintainable technology solutions.
  • Collaborate with stakeholders to define technical roadmaps, system design, data workflows, and integration strategies.
  • Own full project lifecycle : requirement analysis, solution design, architecture, development, deployment, and optimization.
  • Review code, enforce best engineering practices, and ensure high-quality deliverables.
  • Stay updated with emerging AI trends, tools, and frameworks; drive innovation with practical solutions.

Required Skills & Experience

  • 8–12 years of overall technology experience , with strong architecture leadership.
  • Proven experience designing end-to-end AI / ML systems, pipelines, and models .
  • Hands-on expertise in Python (ML / TensorFlow / PyTorch / Scikit-learn) .
  • Strong backend development knowledge using Node.js .
  • Strong understanding of microservices, APIs, distributed systems, and cloud architectures (AWS / Azure / GCP).
  • Ability to design large-scale data processing workflows, ETL pipelines, and ML model deployment.
  • Deep understanding of scalability, performance, security, and DevOps processes .
  • Excellent communication, stakeholder management, and documentation skills.
  • Ability to work independently and lead entire project delivery .
  • Good to Have

  • Experience with LLMs, Generative AI, RAG, NLP-based solutions .
  • Exposure to MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
  • Experience in solutioning for enterprise clients or large-scale systems.
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    Solution Architect • Bengaluru, Karnataka, India

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