Director, AI Solutions Engineer

Intuitive.ai; Washington (District of Columbia); Remote; USD 160,000 - 210,000; Full time

Job summary

Intuitive.ai is seeking a Director of AI Solutions Engineering to lead client-facing technical engagements from business outcomes to validated architectures. You will guide executive stakeholders, run discovery and pre-sales workshops, and own solution scoping and estimates.

The role requires strong cloud, DevOps, data/AI, and architectural leadership, with travel up to 50% across the USA. Remote work is supported, preferably candidates near NJ/NY or willing to travel.

Qualifications

• 10+ years of enterprise IT experience with 5+ years in client-facing pre-sales or architecture roles.
• Experience in professional services or IT consulting serving large accounts (Fortune 1000).
• Professional cloud certifications (GCP, AWS, Azure).
• Experience across BFSI, Healthcare, Manufacturing, Energy or Government domains is preferred.

Responsibilities

• Engage C-level stakeholders to identify desired business outcomes and map to technical directions.
• Lead discovery calls and pre-sales workshops to scope requirements.
• Define high- to mid-level technical solutions and outline a defined approach.
• Provide directional sizing, effort, and timeline estimates for solutions.
• Partner with Solution Architects on low-level designs and pressure-test them.
• Create detailed SOWs and effort estimates for implementation.
• Deliver client-facing proposals and pre-sales presentations.
• Ensure smooth hand-off from pre-sales to delivery with context retention.
• Drive account growth with cross-sell and up-sell opportunities.
• Maintain customer relationships via onsite meetings and events.
• Support alliances through partner events and competency development.
• Represent the company as a technical thought leader externally.
• Lead and mentor Solution Architects as a people manager.

Skills

Cloud Engineering

Pre-Sales Acumen

Solution Architecture

DevOps

Data & AI

Hybrid Cloud

Networking

Cybersecurity

Platform Engineering

Technical Leadership

Job description

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.