Solution Architect - AI / ML & Cloud

This is a remote position. Solution / Technical Architect – AI/ML & Cloud Location: Bangalore with 2 Days work from office. Role Overview 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 strong 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:

1. AI Architecture & Development: Deep expertise in AI development using Python (FastAPI, LLM Tooling).
2. Generative AI & Agentic Systems: Hands-on experience with Enterprise RAG Architecture and building Agentic systems.
3. Cloud Platforms: Architecting scalable cloud solutions (Experience with a single cloud provider is sufficient: AWS, Azure, or GCP).
4. Containerization: Kubernetes & Containerized AI Workloads.
5. 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.