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.