AI Solutions Architect
Location
- Pune, Maharashtra
- Preference for local candidates and early joiners
Work Mode
- Hybrid: 2-3 days a week in office
About the Role
As an AI Solutions Architect, you will:
- Own the end-to-end design, delivery, and governance of cloud-native web and AI solutions on Azure.
- Partner with business and technical stakeholders.
- Architect scalable microservices back-ends, modern front-end applications, and intelligent features powered by Generative AI and Large Language Models (LLMs).
- Mentor engineering teams, define best practices, and ensure platform performance, security, and cost-efficiency.
Key Responsibilities
Solution & AI Architecture
- Define high-level blueprints combining Azure PaaS/IaaS (AKS, App Services, Functions) with Azure AI services (OpenAI Service, Cognitive Services, ML Studio).
- Design and productionize LLM pipelines for training, fine-tuning, inference.
- Implement prompt-engineering guardrails, Vector search (Azure Cognitive Search), and MLOps practices.
Microservices & Data Design
- Lead microservices architecture using .NET Core or Node.js.
- Utilize Event-Driven patterns (Service Bus, Event Grid) and container orchestration (AKS with Helm).
- Architect data models in Azure Cosmos DB.
- Integrate relational stores (Azure SQL) via API Management or GraphQL gateways.
Front-End Strategy
- Select and promote modern SPA frameworks (React, Angular, Vue).
- Ensure component-driven design, state management, and performance optimization.
- Collaborate with UX/UI teams for responsive, PWA-ready applications.
DevOps & Automation
- Build CI/CD pipelines with Azure DevOps or GitHub Actions.
- Use Infrastructure as Code (Terraform, Bicep, ARM).
- Automate testing and deployment using MLflow or Azure ML pipelines.
Governance, Security & Cost Management
- Define cloud governance policies.
- Enforce security using Azure AD, Managed Identities, Key Vault.
- Monitor and optimize resource consumption and costs.
Stakeholder Engagement & Pre-Sales
- Translate business needs into technical proposals.
- Lead RFP responses and demos.
- Communicate technical decisions to C-suite and teams.
Mentorship & Knowledge Sharing
- Coach teams on architectural best practices.
- Maintain ADRs, runbooks, and knowledge portals.
Required Qualifications
- Bachelor's/Master's in relevant fields.
- 12+ years in solution architecture, 4+ years on Azure.
- Certifications: AZ-305, AI-102 or equivalent.
- Hands-on experience with:
- Azure compute/storage (AKS, Cosmos DB, SQL).
- Azure AI services.
- Microservices frameworks (ASP.NET Core, Node.js).
- Front-end frameworks (React, Angular, Vue).
- DevOps/MLOps tools (Azure DevOps, GitHub, Terraform, MLflow).
- Proficiency in C#, Python, or Java.
- Strong communication skills.
Job Highlights
- This section will be tailored based on specific highlights mentioned in the job description.