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.