Enterprise AI architect

Key Responsibilities:

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- Design and architect end-to-end solutions for complex business problems, considering scalability, performance, security, and cost-effectiveness. _x000D_
- Lead the design and implementation of microservices-based architectures, defining service boundaries, APIs, and interaction patterns. _x000D_
- Architect and integrate Generative AI and Machine Learning models into applications, defining data pipelines, model deployment strategies, and inference mechanisms. _x000D_
- Collaborate with data scientists, ML engineers, and development teams to translate models into production-ready, scalable solutions. _x000D_
- Define and enforce architectural standards, patterns, and best practices across application development teams. _x000D_
- Evaluate and select appropriate technologies, frameworks, and tools for application development, microservices, AI/ML integration, and cloud deployment. _x000D_
- Design and optimize solutions for deployment on at least one major cloud platform (AWS, Azure, or GCP), leveraging relevant cloud services (e.g., compute, storage, databases, AI/ML services, networking). _x000D_
- Provide technical leadership and guidance to development teams throughout the software development lifecycle. _x000D_
- Create and maintain technical documentation, including architectural diagrams, design specifications, and technical guidelines. _x000D_
- Collaborate with stakeholders, including product managers, business analysts, and other architects, to understand requirements and translate them into technical designs. _x000D_
- Stay abreast of the latest trends and advancements in microservices, GenAI, Machine Learning, cloud computing, and web technologies. _x000D_
- Drive innovation by identifying opportunities to leverage new technologies and approaches to improve our applications and processes. _x000D_
- Assess and mitigate technical risks. _x000D_
- Support the implementation of DevOps and MLOps practices for seamless deployment and management of applications and models. _x000D_
- Contribute to the development of the technical roadmap and strategy. _x000D_

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Required Qualifications:

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- Bachelors degree in Computer Science, Engineering, or a related field; or equivalent practical experience. _x000D_

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- 12-17 years of experience in solution architecture, with a strong focus on application development. _x000D_
- Proven experience in designing and implementing microservices architectures. _x000D_
- Demonstrated experience with Generative AI concepts, models (e.g., LLMs), and their application in software solutions. _x000D_
- Solid understanding of Machine Learning principles, workflows, and the integration of ML models into applications. _x000D_
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP. _x000D_
- Proficiency in at least one modern programming language (e.g., Python, Java, Node.js, C#). _x000D_
- Experience with web application development technologies and frameworks (frontend and/or backend). _x000D_
- Strong understanding of database technologies (relational and/or NoSQL). _x000D_
- Experience with API design and management. _x000D_
- Familiarity with DevOps principles and CI/CD pipelines. _x000D_
- Excellent communication, presentation, and interpersonal skills with the ability to explain complex technical concepts to both technical and non-technical audiences. _x000D_
- Strong analytical and problem-solving skills. _x000D_

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Technical Skills:

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- Architectural Patterns: Microservices, Event-Driven Architecture, API Gateway, etc. _x000D_
- Cloud Platforms: AWS (EC2, S3, Lambda, Sagemaker, etc.), Azure (VMs, Blob Storage, Azure ML, etc.), GCP (Compute Engine, Cloud Storage, Vertex AI, etc.). _x000D_
- Programming Languages: Python, Java, Node.js, C#, [any other relevant languages]. _x000D_
- AI/ML: Generative AI models (LLMs, Diffusion Models), Machine Learning algorithms, model training and inference, MLOps. _x000D_
- Databases: SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Cassandra). _x000D_
- Web Technologies: [Specify relevant frontend/backend frameworks and technologies, e.g., React, Angular,…