Solution Architect (AI / Data / Full Stack) - Senior Principal Consultant

Winfo Solutions; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Winfo Solutions in Hyderabad, India is seeking an experienced Solution Architect with deep expertise in AI, data, cloud, and full stack technologies to design scalable, secure, and high-performance solutions for clients.

The role requires translating complex business requirements into robust architectures, leading engineering teams, and guiding presales during RFPs, demos, and architecture workshops. Strong communication and hands-on delivery are essential.

Qualifications

• 10+ years in software engineering, architecture, or technology consulting.
• Proven experience as a Solution Architect across AI, Data, Cloud, or Full Stack.
• Excellent communication and client-facing skills.

Responsibilities

• Design end-to-end solutions across AI, Data, Cloud, and Full Stack.
• Translate business needs into scalable architectures.
• Define architecture, stack, APIs, and data design.
• Leverage Generative AI, ML, and data analytics.
• Develop cloud-native solutions on Azure, AWS, or GCP.
• Provide technical leadership to engineering teams.
• Review designs, code approaches, and architecture decisions.
• Support POCs, evaluations, and demonstrations.
• Collaborate with Presales on RFPs and proposals.
• Ensure security, scalability, performance, and availability.
• Stay updated with emerging technologies and recommend solutions.

Skills

Solution Architecture

AI/ML & LLMs

Data Engineering

Cloud Architecture

Full Stack Development

APIs & Microservices

Security & Performance

Client-facing

Tools

Databricks

Snowflake

Azure

AWS

GCP

Python

Java

React/Angular

APIs

Job description

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.