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Job description
About the Role
We are looking for a seasoned Software Architect with extensive software development experience and proven success in delivering diverse systems across multiple technologies. The ideal candidate must understand enterprise-level application architectures well and possess a strong enthusiasm for applying Artificial Intelligence to craft innovative solutions.
Responsibilities
- Lead pre-sales consulting engagements including RFx, discovery workshops, solution design, and project estimation.
- Conduct client workshops to uncover business needs and technical challenges, while proactively proposing AI-enabled innovations.
- Design robust application architectures aligned with business goals and technical constraints.
- Develop persuasive technical proposals and presentations to secure new projects.
- Provide accurate project scope and timeline estimates.
- Create and document high-level application architecture blueprints.
- Identify, assess, and mitigate project risks and challenges.
- Ensure solutions deliver intended business outcomes.
- Keep current with application development trends, particularly Artificial Intelligence, Machine Learning, and Generative AI advancements.
- Contribute reusable solutions, consulting frameworks, and methodologies.
- Integrate cutting-edge AI approaches in both solutions and delivery methods.
Requirements
- Robust software development background with enterprise delivery experience.
- Hands-on experience with a full stack of development technologies.
- Capability to rapidly craft solution designs in pre-sales contexts.
- Excellent facilitation skills to drive customer conversations and elicit high-level requirements effectively.
- Practical expertise in solution architecture.
- Proven track record in defining delivery strategies, creating estimates, and managing risk pricing.
- Experience acting as project or programme architect.
- Strong risk identification, mitigation, and delivery management skills.
- Experienced in cloud and containerized architectures.
- Excellent verbal and written communication, capable of influencing senior stakeholders.
- Deep knowledge of modern cloud-based application frameworks and components.
- Demonstrated expertise in AI/ML concepts, frameworks, and their real-world application in solution and strategic consulting.
Preferred Qualifications
- Familiarity with various programming languages and frameworks such as Java, Spring, C# .NET, Python, React, Angular.
- Experience with system integrations.
- Understanding of data and analytics methodologies, both legacy and modern.
- Knowledge or experience in Commercial Off-The-Shelf (COTS) or platform implementations.
- In-depth expertise with Azure or AWS, particularly their AI/ML and Generative AI services like Azure OpenAI, AWS SageMaker, and Bedrock.
- Practical experience with large language models (LLMs) and integrating them into enterprise applications.
Level
Lead
Skills
How they work
Communication
Problem Solving
Strategic Thinking