Technical Architect

Job Description

8+ years of experience in software development and technical architecture, with strong hands-on experience in Python.

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Expert-level knowledge of Python, object-oriented programming, design patterns, data structures, and software engineering principles.

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Strong experience designing enterprise applications, microservices, REST APIs, and distributed systems.

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Strong understanding of AI/ML concepts, algorithms, model lifecycle, model evaluation, and AI/ML application architecture.

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Strong experience in GenAI, LLMs, RAG, embeddings, and vector databases

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Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) into core enterprise systems.

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Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.

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Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.

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Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.

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Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards

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Hands-on experience with PyTorch, TensorFlow, Scikit-learn, or equivalent AI/ML frameworks.

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Experience with Python frameworks such as FastAPI, Flask, or Django.

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Strong knowledge of SQL, databases, data processing, and data integration.

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Experience designing and deploying solutions on AWS, Azure, or GCP.

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Understanding of MLOps, CI/CD, Docker, Kubernetes, model deployment, and monitoring.

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Experience integrating AI/ML capabilities with enterprise applications using APIs and microservices