Gen AI Architect

Sonata Software; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sonata Software seeks an experienced AI Solution Architect to design and lead end-to-end AI and Generative AI solutions that align with business goals. You will bridge business stakeholders, data scientists, developers, and enterprise architecture teams to deliver scalable, secure, and value-driven implementations.

Responsibilities include defining architectures for AI/ML, RAG, and AI Agents, driving MLOps/LLMOps, governance, and lifecycle management, and mentoring engineers while evaluating new

Qualifications

• Bachelor's degree required in CS/Engineering/Data Science or related field.
• 8+ years IT/solution architecture experience.
• 3+ years AI/ML and Generative AI solution delivery experience.

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.

Skills

RAG

Prompt Engineering

AI Agents

CI/CD

MLOps

LLMOps

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Job description

Job Description 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.

Technical Skills

AI & GenAI

• RAG, Prompt Engineering, AI Agents

Development & Operations

• CI/CD, MLOps, LLMOps

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert
• TOGAF
• Strategic Thinking
• Technical Leadership
• Stakeholder Management
• Problem Solving
• Communication & Presentation

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.