Solutions Architect

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.