AI Solution Engineer

You’ll work directly with Tier 1 enterprise customers globally, leading technical discovery, solution design, POCs, and technical validation while helping customers adopt advanced AI solutions at scale.

Responsibilities
Lead technical discovery and solution design sessions with enterprise customers
Build and deliver proofs-of-concept for AI/ML solutions (NLP, knowledge retrieval, conversational AI, integrations)
Present to executives, respond to RFPs/RFIs, and own technical validation in deals
Develop light production-quality code and integrations in Python and at least one of Java, JavaScript/TypeScript
Travel frequently to customer sites (40–80%)

Requirements
3+ years of experience in pre-sales, solution engineering, or technical program management
Hands-on experience designing and delivering enterprise AI/ML solutions, including RAG architectures, agent orchestration, conversational AI, knowledge retrieval, and integration protocols such as MCP
Hands-on experience with Kubernetes, Terraform / Infrastructure as Code (IaC), and VPC deployments across AWS and Azure, including familiarity with on-prem and air-gapped environments
Proficiency in Python and one of Java or TypeScript/JavaScript, with the ability to build integrations, scripts, and light production code
Understanding of enterprise AI governance and compliance, including RBAC, audit trails, data lineage, security, and access controls
Strong customer-facing capabilities, with the ability to lead technical discovery sessions, whiteboard architecture, and technical validation
Strong presence with CxO and technical stakeholders, including ownership of RFP/RFI responses, executive presentations, and proofs of concept
Willingness to travel frequently to customer sites (40–80%)

Preferred Qualifications

Exposure to regulated industries
Experience with conversational AI platforms
Cloud certifications
SaaS startup experience
The estimated annual base salary ra