Lead technical discovery and solution design for enterprise AI initiatives. Build and deliver POCs for NLP, RAG, conversational AI, and integrations; own technical validation, RFP/RFI responses, and executive presentations. Develop light production code and integrations (Python plus Java/TypeScript), and manage Kubernetes/IaC/VPC deployments across AWS/Azure and on-prem environments. Frequent customer travel (20-40%).
Description
Jeen empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.
About the RoleWe’re looking for an AI Solution Engineer to lead the technical side of complex AI opportunities.
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%)
- 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 range for this AI Solution Engineer role is $120,000-$150,000. Actual compensation will be determined based on factors including relevant experience, technical expertise, qualifications and business needs.
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