AI Solution Engineer New York

Jeen AI Ltd.; New York, Northern (NY, KY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Jeen AI Ltd. is seeking an AI Solution Engineer to partner with Tier 1 enterprise customers worldwide, leading technical discovery, solution design, POC development, and technical validation for AI/ML deployments at scale.

You will deliver proofs of concept, respond to RFPs/RFIs, and present to executives while traveling 40-80% to customer sites. Deep hands-on experience with Kubernetes, Terraform, and cloud deployments (AWS/Azure) is required.

Qualifications

• 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.
• 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%).

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.
• Travel frequently to customer sites (40-80%).

Skills

Pre-sales

Solution design

Executive engagement

RFP/RFI responses

AI/ML solutions

Technical validation

CxO presentations

Travel readiness

Prototype / POC

Discovery sessions

Tools

Kubernetes

Terraform

AWS

Azure

Job description

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
• 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
• 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.