Senior AI Solutions Consultant (Ideal for Former Engineering Managers)

Overview

On Site
$140,000 - $200,000
Full Time
No Travel Required

Skills

Artificial Intelligence
Software Engineering
Solutions Architecture
Technical Leadership
Enterprise SDLC
Agile
Scrum
DevOps
CI/CD
Microservices Architecture
Cloud Platforms
AWS
GCP
Azure
Containerization
Docker
Kubernetes
API Design
Systems Integration
Technical Consulting
Enterprise Architecture
Digital Transformation
AI Solutions
Machine Learning
Enterprise Software
Stakeholder Management
C-Level Communication
Technical Presentations
Solution Implementation
SaaS
Technical Roadmaps
Legacy System Integration
Cloud Computing
Continuous Delivery
Continuous Integration
Generative Artificial Intelligence (AI)
Google Cloud Platform
Machine Learning (ML)
Solution Architecture
Software Development Methodology
Startups
Leadership
Management
Google Cloud

Job Details

About Our Client

Our client is a Series-A Generative AI startup in Cambridge, MA, backed by top-tier investors and led by proven founders with 27+ AI patents. Their mission: automate software creation and revolutionize enterprise development.

Their platform enables thousands of AI agents to build software at scale reducing projects from six months to six days.

Role Overview

Our client seeks a Senior AI Solutions Consultant to act as the technical bridge between their AI platform and enterprise engineering teams.

This role is ideal for former Engineering Managers, Tech Leads, or Architects who want to move into a customer-facing role while staying close to deep technical challenges.

Responsibilities

  • Advise enterprise engineering teams as a trusted technical consultant.

  • Translate SDLC challenges into AI-powered solutions with measurable ROI.

  • Lead deep-dives on code quality, security, and integrations.

  • Partner with CTOs & VPs of Engineering on roadmaps and initiatives.

  • Design proof-of-concepts (PoCs) tailored to enterprise environments.

  • Architect successful implementations aligned with enterprise workflows.

  • Provide customer insights to influence product direction.

  • Support sales during complex enterprise cycles.

Requirements

  • 5 8 years in software engineering, solutions architecture, or technical leadership.

  • Strong understanding of enterprise SDLC, DevOps, CI/CD, microservices.

  • Hands-on with cloud platforms (AWS/Google Cloud Platform/Azure), APIs, containers, security.

  • Able to engage both engineering teams and C-level executives.

  • Leadership experience (formal management a plus).

Preferred:

  • Past experience as an Engineering Manager, Tech Lead, or Solutions Architect.

  • Background in enterprise digital transformation or AI/ML solutions.

  • Prior work at cloud leaders (AWS, Google, Microsoft) or enterprise consultancies.

  • Mentorship from proven AI founders.

  • Career path toward Director/VP roles as company scales.

  • Influence on enterprise adoption of Generative AI.

Hiring Process

  1. Intro call (30 min)

  2. Technical deep dive (45 min)

  3. Team interviews

  4. References & offer

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