Solutions Architect

Jobtailor; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Jobtailor in Bengaluru seeks a senior Solution Architect to design target-state architectures for AI use cases across application, data, integration, security, and deployment domains. You will define reusable patterns for LLM-enabled apps, RAG, AI agents, and workflow automation, while partnering with cybersecurity, privacy, data, platform, and governance teams to meet enterprise standards.

Engage with delivery teams, document decisions, and contribute to architecture standards and reference

Qualifications

• University or college degree in CS, engineering, data/analytics, business/tech, governance, or related field.
• Experience in solution, application, cloud, or enterprise architecture.
• Strong understanding of Azure, APIs, integration patterns, identity, data platforms, security, and operations.
• Familiarity with LLM-enabled apps, RAG, AI agents, risk, governance, and responsible AI controls is preferred.
• Ability to produce architecture artifacts and communicate trade-offs to tech and business audiences.
• Strong stakeholder management, facilitation, documentation, and decision-making skills.

Responsibilities

• Create target-state and solution architecture for AI use cases across application, data, integration, security, operational, and deployment views.
• Define and review reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption.
• Partner with cybersecurity, privacy, data, platform, and governance teams to ensure enterprise standards and regulatory expectations are met.
• Assess technology options, identify risks, document decisions, and guide delivery teams through architecture governance.
• Support vendor and platform evaluations, design reviews, technical discovery, and implementation planning.
• Contribute to architecture standards, reference patterns, and design documentation for enterprise AI capabilities.

Skills

Solution Architecture

Azure

APIs

AI Governance

Stakeholder Management

Education

CS/Engineering degree

Job description

Create target-state and solution architecture for AI use cases across application, data, integration, security, operational, and deployment views
Define and review reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption
Partner with cybersecurity, privacy, data, platform, and governance teams to ensure enterprise standards and regulatory expectations are met
Assess technology options, identify risks, document decisions, and guide delivery teams through architecture governance
Support vendor and platform evaluations, design reviews, technical discovery, and implementation planning
Contribute to architecture standards, reference patterns, and design documentation for enterprise AI capabilities

Requirements

• University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered
• Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design
• Strong understanding of Azure, APIs, integration patterns, identity, data platforms, application security, and operational readiness
• Working knowledge of LLM-enabled applications, RAG, AI agents, model risk considerations, AI governance, and responsible AI controls is preferred
• Ability to produce clear architecture artifacts and communicate design trade-offs to technical and business audiences
• Strong stakeholder management, facilitation, documentation, and decision-making skills

Core Competencies

Demonstrates expertise in solution architecture and AI capabilities, with a strong focus on Azure, APIs, and integration patterns. Proficient in stakeholder management and producing clear architecture artifacts to communicate effectively with both technical and business audiences.

Highest-signal resume keywords

• Solution Architecture
• Azure
• APIs
• AI Governance
• Stakeholder Management

Hard Skills

• Solution Architecture
• Application Architecture
• Cloud Architecture
• Integration Patterns
• Data Platforms
• Application Security
• Operational Readiness
• Architecture Artifacts
• Model Risk Considerations
• Workflow Automation

Soft Skills

• Documentation
• Decision-Making
• Facilitation
• Communication

Industry Keywords

• AI Use Cases
• Cybersecurity
• Privacy
• Governance
• Enterprise Standards