Enterprise AI architect

We are seeking an experienced Solution Architect to design and implement scalable, secure, and cost-effective software solutions leveraging microservices, cloud platforms, and Generative AI/ML models. The ideal candidate will provide technical leadership, define architecture standards, and collaborate across teams to deliver innovative, production-ready solutions.

Key Responsibilities:

• Design and architect end-to-end solutions for complex business problems, focusing on scalability, performance, security, and cost-efficiency.
• Lead the design and implementation of microservices-based architectures, defining service boundaries, APIs, and interaction patterns.
• Integrate Generative AI and ML models into applications, defining data pipelines, model deployment strategies, and inference mechanisms.
• Collaborate with data scientists, ML engineers, and development teams to translate models into production-ready solutions.
• Define and enforce architectural standards, patterns, and best practices across development teams.
• Evaluate and select technologies, frameworks, and tools for application development, AI/ML integration, and cloud deployment.
• Design and optimize solutions for deployment on AWS, Azure, or GCP, leveraging relevant cloud services (compute, storage, AI/ML services, databases).
• Provide technical leadership throughout the software development lifecycle.
• Create and maintain technical documentation, including architectural diagrams, design specifications, and guidelines.
• Collaborate with stakeholders to understand requirements and translate them into actionable technical designs.
• Stay updated with trends in microservices, Generative AI, ML, cloud computing, and web technologies.
• Drive innovation by identifying opportunities to leverage new technologies for improved applications and processes.
• Assess and mitigate technical risks.
• Support the implementation of DevOps and MLOps practices for seamless deployment and management of applications and models.
• Contribute to the development of the technical roadmap and strategy.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 1217 years of experience in solution architecture and application development.
• Proven experience designing and implementing microservices architectures.
• Hands-on experience with Generative AI models (LLMs, Diffusion Models) and ML workflows.
• Strong understanding of Machine Learning principles and integration of ML models into applications.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Proficiency in one or more modern programming languages: Python, Java, Node.js, C#, etc.
• Experience with web application development frameworks (frontend/backend).
• Strong understanding of relational and NoSQL databases.
• Experience in API design and management (REST, GraphQL).
• Familiarity with DevOps practices, CI/CD pipelines, and MLOps tools.
• Strong analytical, problem-solving, and communication skills.

Technical Skills:

Microservices Architecture, Generative AI & ML, Cloud Platforms (AWS/Azure/GCP), Python/Java/Node.js/C#, SQL & NoSQL, API Design (REST/GraphQL), DevOps & MLOps Tools, Messaging Queues (Kafka/RabbitMQ), Monitoring & Logging, Web Technologies (React/Angular/Spring Boot/Node.js)