We are looking to team up with a technical Architect with strong hands-on expertise in Distributed systems, AI Architecture, Generative AI, and Cloud-native architectures to design and implement scalable enterprise-grade solutions. The role demands a balance of deep technical proficiency and robust stakeholder management with exposure to cutting-edge AI platforms, Agentic systems, and enterprise CRM integrations.
Requirements
Key Responsibilities
● Design and architect scalable AI and data-driven solutions on on-prem cloud platforms. ● Build pipeline architecture for data processing, deployment, and AI model delivery.
● Manage stakeholders across business and operations to ensure alignment with solution objectives.
● Collaborate with IT teams to integrate enterprise applications into the solution ecosystem.
● Work closely with developers to operationalize solutions and ensure successful deployment.
● Support multiple concurrent projects with varying business use cases and technical demands.
● Provide solution support for key use cases, including:
● Case routing and knowledge retrieval
● Agentic AI use cases (auto-actioning on cases, troubleshooting assistant)
● CRM-driven use cases such as query resolution and customer interaction assistance
Required Skills & Experience
• Experience: 8+ years of experience as a Solution Architect or Technical Architect.
- Mandatory Skills:
- AI Architecture & Development: Deep expertise in AI development using Python (FastAPI, LLM Tooling).
- Generative AI & Agentic Systems: Hands-on experience with Enterprise RAG Architecture and building Agentic systems.
- Cloud Platforms: Architecting scalable cloud solutions (Experience with a single cloud provider is sufficient: AWS, Azure, or GCP).
- Containerization: Kubernetes & Containerized AI Workloads.
- Governance: Expertise in AI Adoption Frameworks & Guardrail Design.
- Preferred/Optional Skills:
● Traditional Machine Learning & ML Pipelines (Optional)
● PCAI / NVIDIA AI Enterprise experience.
● Big Data & Distributed Computing.
● Salesforce (SFDC) or ServiceNow understanding (SFDC preferred).
● Hands-on experience with Salesforce Service Cloud or ticketing systems.
● Experience supporting CRM and AI-based automation use cases.
Certifications (Preferred)
• NVIDIA AI Certification (highly desirable).
- Cloud Certifications (AWS / Azure / GCP).
Key Attributes
• Strong problem-solving and solutioning mindset.
- Excellent communication and stakeholder management skills.
- Ability to manage end-to-end delivery across multiple projects.
📌 Solution Architect - AI / ML & Cloud (India)
🏢 Veltris
📍 India
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