Solution Architect – AI / Data / Full Stack
Job Summary
We are looking for an experienced Solution Architect with strong expertise in AI, Data, Cloud, and Full Stack technologies. The candidate will be responsible for designing scalable, secure, and high-performing solutions and working closely with clients, business teams, and engineering teams.
Key Responsibilities
- Design end-to-end technology solutions across AI, Data, Cloud, and Full Stack platforms.
- Understand business and technical requirements and translate them into scalable solution architectures.
- Define application architecture, technology stack, integration patterns, APIs, and data architecture.
- Design solutions leveraging Generative AI, LLMs, Machine Learning, Data Engineering, and Analytics.
- Develop cloud-native solutions using Azure, AWS, or GCP.
- Provide technical leadership and guidance to development and engineering teams.
- Review technical designs, code approaches, and architecture decisions.
- Support POCs, technical evaluations, and solution demonstrations.
- Collaborate with Presales and Sales teams on RFPs, proposals, estimations, and client presentations.
- Ensure solutions meet requirements for security, scalability, performance, availability, and maintainability.
- Stay updated with emerging technologies and recommend suitable solutions based on business needs.
Required Skills
- Strong experience in Solution Architecture and Enterprise Application Design.
- Strong knowledge of AI/ML, Generative AI, LLMs, RAG, and AI application development.
- Strong understanding of Data Engineering, Data Lakes, ETL/ELT, Databricks, Snowflake, and Analytics.
- Good experience with Full Stack technologies such as Python/Java/.NET, React/Angular, APIs, and Microservices.
- Strong knowledge of Azure, AWS, or GCP cloud platforms.
- Experience with databases, distributed systems, integration, and API architecture.
- Strong understanding of security, scalability, performance, and cloud architecture.
- Excellent communication, problem-solving, and client-facing skills.
Experience
- 10+ years of overall experience in software engineering, architecture, or technology consulting.
- Proven experience as a Solution Architect / Technical Architect across AI, Data, Cloud, or Full Stack technologies.
Preferred
- Experience working with enterprise/global clients.
- Experience in client-facing architecture discussions and technical workshops.
- Experience in presales, RFP/RFI responses, and solution proposals.
- Cloud, AI, Data, or Architecture certifications will be an added advantage.
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