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LeadFull-timeJavaScriptPythonJavaRustAWSGCPAzureKubernetesAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal AI Solutions Engineer to work directly with enterprise customers to design, deploy, and scale production-grade AI systems. This role involves translating complex business problems into secure, explainable, and scalable AI architectures.
Key Responsibilities
- →Own end-to-end delivery of AI solutions from initial scoping to live production rollout
- →Write and maintain core application, integration, and orchestration code for customer deployments
- →Ensure AI systems meet enterprise standards for reliability, scalability, and security
- →Design and implement AI-powered systems including LLM-driven workflows and autonomous agents
- →Architect and manage end-to-end data flows across ingestion, transformation, storage, and serving layers
- →Deliver fast, high-quality proofs-of-concept that validate business value early
- →Work shoulder-to-shoulder with customer engineering, data, and product teams
- →Help customers operationalize AI responsibly through monitoring, explainability, and governance practices
- →Uplift customer teams through hands-on guidance, reviews, and mentoring
Requirements
- ✓5+ years building and deploying production-grade AI, ML, or data-intensive systems
- ✓Strong computer science fundamentals with systems-level thinking
- ✓Advanced proficiency in Python, JavaScript, or Java, with a focus on backend and distributed systems
- ✓Hands-on experience working with LLM-based systems, intelligent agents, or generative AI workflows
- ✓Deep understanding of enterprise data architectures, integrations, and pipelines
- ✓Proven success in customer-facing or solutions engineering roles
- ✓Ability to communicate complex technical ideas in a clear, outcome-oriented way
- ✓Comfort operating in fast-moving, ambiguous environments with high ownership
- ✓Work Setup
- ✓Hybrid role based in Bengaluru (2 days per week in office)
- ✓Willingness to travel up to 25% for on-site customer engagements
