GenAI Solution Architect

This role is for one of the Weekday's clients

Salary range: Rs 1800000 - Rs 2800000 (ie INR 18 - 28 LPA)

Min Experience: 10 years

Location: Telangana, Hyderabad

JobType: full-time

We are seeking an experienced and forward-thinking GenAI Solution Architect to lead the design and delivery of cutting-edge Generative AI solutions. This role requires deep expertise in end-to-end solution architecture, strong technical proficiency, and the ability to translate complex business requirements into scalable, secure, and high-performance AI-driven systems. You will play a critical role in shaping AI strategy, driving innovation, and enabling enterprise-wide adoption of GenAI technologies.

Requirements:
Key Responsibilities:

• Design and architect end-to-end Generative AI solutions, ensuring alignment with business goals, scalability requirements, and technology standards.
• Lead solution design across multiple domains, integrating Large Language Models (LLMs), machine learning pipelines, and enterprise systems.
• Define architecture frameworks, best practices, and reusable components for GenAI implementations.
• Collaborate with cross-functional teams including data scientists, engineers, product managers, and stakeholders to deliver robust AI solutions.
• Evaluate and select appropriate tools, platforms, and models for GenAI use cases, balancing performance, cost, and maintainability.
• Drive implementation of CI/CD pipelines for ML and GenAI workflows, ensuring continuous integration, deployment, and monitoring.
• Provide technical leadership in building secure, compliant, and ethical AI systems.
• Guide teams in model fine-tuning, prompt engineering, and optimization of LLM-based applications.
• Conduct architecture reviews, risk assessments, and performance tuning for deployed solutions.
• Stay updated with the latest advancements in Generative AI, machine learning, and cloud-native architectures.

Must-Have Skills:

• Strong expertise in GenAI solution architecture (end-to-end) including design, deployment, and scaling.
• Proven experience as a Solution Architect with a focus on complex system design and enterprise-grade applications.
• Deep understanding of solution design principles, microservices architecture, and distributed systems.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, and GenAI frameworks.
• Solid knowledge of CI/CD pipelines for ML/AI systems and DevOps best practices.

Good-to-Have Skills:

• Proficiency in Python for AI/ML development and automation.
• Strong foundation in Machine Learning concepts, model lifecycle management, and MLOps.
• Experience with cloud platforms (AWS, Azure, or GCP) and AI services.
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10–15 years of overall experience, with significant exposure to AI/ML and architecture roles.

Key Competencies:

• Strong analytical and problem-solving skills with the ability to design innovative solutions.
• Excellent communication and stakeholder management abilities.
• Ability to lead teams, mentor engineers, and drive technical excellence.
• Strategic mindset with a focus on delivering business impact through AI.