Gen AI - Associate Architect

Job Description:

Position:

Associate Architect - SDLC & Generative AI

Role Overview:

We are seeking an experienced Associate Architect with strong expertise in Software Development Life Cycle (SDLC), solution architecture, and Generative AI (GenAI) technologies. The ideal candidate will drive end-to-end solution design, architect scalable applications, integrate AI-powered capabilities, and establish engineering best practices across the development lifecycle.

Key Responsibilities:

• Lead architecture and design discussions for enterprise applications across the SDLC.
• Define solution architecture, technical roadmaps, design patterns, and development standards.
• Drive adoption of Generative AI solutions including LLMs, RAG, AI Agents, Prompt Engineering, and AI Governance frameworks.
• Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable solutions.
• Architect cloud-native solutions on Azure/AWS/GCP with a focus on security, scalability, and performance.
• Ensure adherence to SDLC processes, DevOps practices, quality gates, risk management, and compliance standards.
• Conduct design reviews, code reviews, and technical assessments.
• Mentor development teams and provide architectural guidance throughout project delivery.
• Evaluate emerging AI technologies and recommend innovative solutions aligned with business objectives.

Required Skills:

• Strong understanding of SDLC methodologies (Agile, Scrum, Waterfall, DevOps).
• Hands-on experience in Application Architecture and Solution Design.
• Experience with Generative AI, LLMs, RAG, AI Agents, Vector Databases, Prompt Engineering, and AI Governance.
• Knowledge of cloud platforms (Azure, AWS, or GCP).
• Experience with Microservices, APIs, CI/CD, and DevOps practices.
• Strong understanding of software quality, security, risk management, and compliance frameworks.
• Excellent stakeholder management and communication skills.

Preferred Qualifications:

• Experience designing enterprise-scale AI-enabled applications.
• Exposure to AI governance, responsible AI, and data security frameworks.
• Certifications in Cloud Architecture, TOGAF, Azure AI, AWS AI, or related technologies.

Skills

AI Agents, AWS, Architect, Architecture, Azure, GCP, Gen AI, Generative AI, LLM, RAG, Solution Architecture