Solutions Architect

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Role Overview

We are seeking a highly skilled Solutions Architect – Emerging Technologies to lead the design, development, and deployment of enterprise-grade, scalable, and secure solutions.

The ideal candidate will have strong expertise in Python and/or AI technologies, along with hands-on experience in cloud architecture, microservices, and modern DevOps practices.

You will play a strategic role in shaping our technology roadmap and delivering innovative solutions aligned with business objectives.

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Key Responsibilities

• Design and document end-to-end technical architecture for applications, integrations, AI solutions, and platforms.
• Lead solution design for AI/ML-based systems, automation frameworks, and intelligent platforms.
• Translate business requirements into scalable, high-performance technical solutions.
• Provide technical leadership across the full Software Development Lifecycle (SDLC).
• Evaluate and recommend adoption of emerging technologies including AI, Generative AI, cloud-native tools, and automation frameworks.
• Define and enforce coding standards, architecture best practices, and governance frameworks.
• Ensure systems meet security, performance, compliance, and regulatory standards.
• Guide teams on cloud architecture (AWS/Azure/GCP), microservices, APIs, and distributed systems.
• Oversee DevOps implementation including CI/CD, containerization, and infrastructure automation.
• Mentor development teams and conduct architecture reviews.

Technical Skills Required

• Strong proficiency in Python (mandatory) and/or AI frameworks
• Experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn (preferred)
• Hands-on experience in building microservices and RESTful APIs
• Strong understanding of cloud platforms (AWS / Azure / GCP)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Knowledge of DevOps practices, CI/CD pipelines
• Experience with databases (SQL & NoSQL)
• Exposure to enterprise integrations and scalable system design

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Qualifications

• Bachelor's or Master's degree in Computer Science, IT, or related field
• 8+ years of experience in software development and solution architecture
• Proven experience in leading enterprise or AI-driven projects
• Excellent problem-solving and communication skills
• Strong stakeholder management capabilities

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Preferred Certifications (Good to Have)

• TOGAF
• AWS Solutions Architect
• Azure Architect
• AI/ML or Cloud Certifications