AWS Solution Architect

AWS Solution Architect - GenAI

10 - 15 Years 30 - 35 LPA Hybrid Work location – Locations ( Gurugram, Noida, Chennai, Bangalore, Kolkata, Pune)

Responsibilities:

Requirements Gathering: Translating ambiguous, high-level product goals into concrete, actionable feature-level requirements and system specifications, considering constraints like performance, security, and scalability.

Strategic Planning: Defining the overall technical vision for GenAI solutions, aligning them with business objectives and strategy.

Solution Design: Creating detailed technical designs and architectures for GenAI systems, including selecting appropriate algorithms, hardware, and software components.

Architect GenAI solutions: Architect CI/CD pipeline for GenAI Architect GenAI API endpoints

Documentation: Review GenAI code documentation. Review GenAI design documents (FDD and TDD) ·

Technical Leadership: Guiding development teams throughout the project lifecycle, providing technical expertise, resolving issues, and ensuring adherence to best practices.

Stakeholder Management: Collaborating with various stakeholders (business, engineering, product) to communicate technical concepts, manage expectations, and ensure alignment on project goals and progress.

Performance Optimization: Debugging, optimizing, and fine-tuning GenAI solution for optimal performance, considering factors like latency, throughput, and resource utilization. ·

Integration and Deployment: Ensuring seamless integration of GenAI solutions with existing systems and cloud infrastructure, and overseeing the deployment and monitoring of the system in production. · Innovation and Research: Staying up-to-date with the latest advancements in GenAI, including new algorithms, techniques, and hardware, and evaluating their potential for future projects.

Minimum Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related technical field. Sound experience as solution Architect for large-scale AI/GenAI projects. Strong understanding of the GenAI lifecycle including data preparation, model training, evaluation, deployment, and monitoring. Excellent knowledge on Azure and basic knowledge in AWS · Experience managing projects using Agile/Scrum methodologies. · Familiarity with tools and platforms used in GenAI projects. Strong communication, stakeholder management, and problem-solving skills. Hand on experience in python

Preferred Qualifications: Azure Certified Solutions Architect. Working knowledge of cloud platforms (Azure and AWS/GCP) and CI/CD for ML systems. Experience working in manufacturing, retail, healthcare, or other domains where GenAI is applied. Exposure to data security and governance frameworks. Prior experience in industries like energy, heavy industrial equipment, power generation will be considered a significant value add.