Weekday AI
GenAISolutionArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“GenAI Solution Architect at Weekday AI. Skills: GenAI solution architecture, Large Language Models (LLMs), Solution Architect, microservices architecture, distributed systems, CI/CD pipelines, DevOps best practices, Python, Machine Learning, MLOps, cloud platforms. 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 (LLM”
What You'll Achieve.
delivering business impact through AI
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
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., 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.
Nice to Have
Proficiency in Python for AI/ML development and automation., 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).
What You'll Do.
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
and reusable components for GenAI implementations.
Evaluate and select appropriate tools
and models for GenAI use cases
balancing performance
Drive implementation of CI/CD pipelines for ML and GenAI workflows
ensuring continuous integration
Provide technical leadership in building secure
and ethical AI systems.
Guide teams in model fine-tuning
and optimization of LLM-based applications.
Conduct architecture reviews
and performance tuning for deployed solutions.
Stay updated with the latest advancements in Generative AI
and cloud-native architectures.
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams including data scientists, engineers, product managers, and stakeholders to deliver robust AI solutions.; Guide teams in model fine-tuning, prompt engineering, and optimization of LLM-based applications.; Ability to lead teams, mentor engineers, and drive technical excellence.
Communication Scope
Excellent communication and stakeholder management abilities.
Full Job Description
**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
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