for AI Solution Architect

Role Summary:

Design and lead end-to-end AI and Generative AI solutions that align with business goals, ensuring scalability, security, governance, and measurable business value. Act as the bridge between business stakeholders, data scientists, developers, and enterprise architecture teams.

Key Responsibilities
Define AI, ML, and Generative AI solution architectures.
Design and implement LLM, RAG, AI Agent, and Copilot-based solutions.
Translate business requirements into scalable technical solutions.
Lead AI platform, cloud, and integration architecture decisions.
Establish AI governance, security, compliance, and Responsible AI practices.
Drive MLOps/LLMOps, model deployment, monitoring, and lifecycle management.
Provide technical leadership, mentoring, and architecture governance.
Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
8+ years of IT/Solution Architecture experience.
3+ years of AI/ML and Generative AI solution delivery experience.
Experience delivering enterprise-scale cloud solutions.





Technical Skills AI & GenAI
Machine Learning, Deep Learning, NLP
Large Language Models (GPT, Claude, Gemini, Llama)
RAG, Prompt Engineering, AI Agents
Azure OpenAI, Azure AI Studio

Cloud & Architecture
Microsoft Azure (preferred), AWS, or GCP
Microservices, APIs, Event-Driven Architecture
Enterprise Integration Patterns

Development & Operations
Python, C#, Java, or JavaScript
GitHub, Azure DevOps
Docker, Kubernetes
CI/CD, MLOps, LLMOps

Preferred Certifications
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure AI Engineer Associate
AWS Machine Learning Specialty
TOGAF

Key Competencies
Strategic Thinking
Technical Leadership
Stakeholder Management
Problem Solving
Communication & Presentation
Innovation & Continuous Learning

Success Measures
Successful delivery of AI solutions aligned to business outcomes.
High adoption and measurable value realization.
Secure, scalable, and compliant AI implementations.
Reduced time-to-market through reusable AI architecture patterns.

📌 Gen Ai Architect Bangalore Urban
🏢 Sonata Software
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