Director, AI Solutions Engineer

Director, AI Solutions Engineering

Position Type: Remote Full Time (Prefer someone from NJ/NY)
Travel: Upto 50% across USA 

Role Overview 

The Director, Solutions Engineering sits at the intersection of executive business strategy and technical architecture. This person leads customers from a business problem to a validated, scoped technical solution — engaging C-level and senior stakeholders on outcomes, whiteboarding the technical approach, and partnering with Solution Architects to pressure-test and estimate the detailed implementation. 

 Core Responsibilities 

• Engage C-level and executive stakeholders to identify desired business outcomes and map them to technical solution directions. 
• Lead discovery calls and pre-sales workshops to scope customer requirements. 
• Define and whiteboard high- to mid-level technical solutions, owning solution design and scoping through to a defined approach. 
• Establish directional sizing, effort, and timeline estimates for proposed technical solutions. 
• Partner with Solution Architects to define, validate, and pressure-test low-level technical solution designs. 
• Partner with Solution Architects to build detailed effort estimates and Statements of Work (SOWs) for solution implementation. 
• Build and deliver client-facing proposals and pre-sales presentations. 
• Own the hand-off from pre-sales to delivery, ensuring continuity of solution intent and context. 
• Drive account growth strategy, proactively identifying cross-sell and up-sell opportunities. 
• Establish and maintain customer relationships through onsite meetings, events, and other engagement. 
• Support Alliance partnerships through partner events (e.g., technical talks) and maintaining partner competencies. 
• Serve as a technical thought leader, representing the company's point of view externally. 
• People manager and functional lead for Solution Architects

REQUIRED SKILLSETS

Cloud Engineering & Architecture

Network Engineering

Cybersecurity

Hybrid Cloud & On-Premises Infrastructure

Platform Engineering & DevOps

Data & AI

Application Modernization

Pre-Sales Acumen & Communication

PREFERRED EXPERIENCE

• 10+ years of experience in enterprise IT with at least 5 years in a client-facing pre-sales, solution architecture, or technical advisory capacity.
• Experience working within a professional services or IT consulting firm serving enterprise or Fortune 1000 accounts.
• One or more professional cloud certifications (Google Cloud Platform Professional Cloud Architect, AWS Solutions Architect Professional, Azure Solutions Architect Expert).
• Experience with verticals including BFSI, Healthcare & Life Sciences, Manufacturing, Energy, or Government is strongly preferred.