Solution Architect - AI / ML & Cloud

This is a remote position.

Location: Bangalore with 2 Days work from office.

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.

●       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

• 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.

• NVIDIA AI Certification (highly desirable).

• Cloud Certifications (AWS / Azure / GCP).

• Strong problem-solving and solutioning mindset.

• Excellent communication and stakeholder management skills.

• Ability to manage end-to-end delivery across multiple projects.