Solutions Architect
Marlabs (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 18–30 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture for enterprise AI agents and intelligent automation, spanning orchestration, data, applications, APIs, cloud, security, and operations.
- Turn business and technical requirements into scalable designs, integration and deployment patterns, and implementation roadmaps; guide teams through dependencies, build-versus-buy decisions, and delivery risks.
- Ensure production readiness through secure access controls, governance, observability, resilience, monitoring, and operational ownership.
Minimum Requirements
- Work Experience Required: 5+ years in solution architecture, enterprise application architecture, or senior software engineering, with demonstrated delivery of complex enterprise solutions.
- Experience designing Generative AI or AI-enabled enterprise solutions, including AI agents, RAG, vector search, LLM integrations, or intelligent automation.
- Strong knowledge of cloud architecture, APIs, enterprise integration patterns, identity and access management, security, deployment, monitoring, and production operations.
- Experience integrating enterprise platforms or data sources such as Salesforce, ERP systems, Microsoft 365, data platforms, or API-based applications; understanding of governed AI controls is required.
Ideal Candidate Profile
- Has designed governed enterprise AI solutions that combine retrieval, agents, and business systems while addressing permissions, human review, auditability, and sensitive-data access.
- Brings a broad enterprise architecture perspective, connecting application, data, cloud, security, and operational requirements into implementable designs.
- AWS and Amazon Bedrock/AgentCore experience, or comparable cloud AI platform exposure, plus familiarity with Palantir Foundry or modern enterprise data ecosystems, is advantageous.