Solution Architect - AI/ML & Cloud

This is a remote position.

Location: Bangalore with 2 days work from office.

Job description:

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:
• 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.

Skills

AWS, Azure, GCP, Kubernetes, Python