Solution architect

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.

Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Job Description: Solution Architect

Role Overview

Are you ready to build on the bleeding edge of enterprise cloud and AI? As a Solution Architect (SA) for Iron Mountain InSight® DXP, you are joining a high-energy team operating with the speed, grit, and innovation of a hyper-growth tech startup—backed by the scale of a global industry powerhouse.

Your mission is to ensure enterprise customers successfully build, deploy, and scale critical unstructured data and AI workloads on InSight® DXP. Operating as the essential bridge between solution design and production build, you won't just draw diagrams—you will get hands-on in the code, tuning extraction models, constructing automated pipelines, and benchmarking non-functional requirements (NFRs) across complex cloud environments. This isn't a passive maintenance role. As a frontline builder solving real-world customer deployment friction, you will actively test platform limits, build reusable blueprints, and partner directly with R&D to help define the InSight® DXP capabilities of tomorrow.

What You’ll Do (Core Responsibilities)

1. Architectural Design & Workload Delivery: End-to-End Solution Design: Lead architectural design and hands-on implementation of custom enterprise use cases, ensuring platform scalability, security, and performance. Data Pipeline & Workflow Orchestration: Architect and build automated ingestion data pipelines, custom API connections, and intelligent document processing (IDP) workflows operating flawlessly at scale. Extraction Model & HITL Optimization: Configure and tune machine learning models, Document AI extraction pipelines, and Human-in-the-Loop (HITL) validation workflows for accuracy and speed.
2. Production Readiness & Non-Functional Requirements (NFRs): Performance & Latency Benchmarking: Guarantee system throughput and p95 processing latency limits against strict customer NFRs before handing solutions over to post-sales execution. Security & High Availability Architecture: Ensure architectures adhere to strict enterprise security standards, high availability (HA), disaster recovery (DR), and multi-tenant data isolation parameters. Reusable Blueprint Development: Develop version-controlled code repositories, reusable integration patterns, and standardized solution topology blueprints.
3. Customer Enablement & Field Feedback Loop: Developer Mentorship & Alignment: Work side-by-side with customer developers and system integrator (SI) teams, guiding cloud migrations and mentoring engineering staff on platform best practices. Pre-Sales Technical Execution: Partner with account teams to conduct technical pitches, execute Proof of Concepts (PoCs), and eliminate complex technical deployment friction. Co-Defining Tomorrow's Roadmap: Relay real-world technical edge cases, model performance data, and builder feedback directly to Core Engineering to drive next-generation platform features.

What You’ll Bring (Qualifications & Technical Depth)

5+ years of experience in Solutions Architecture, Data Engineering, or Software Engineering supporting enterprise cloud platforms. Hands-on Scripting Proficiency: Active experience in Python, Bash, SQL, and REST/GraphQL API integration development. Cloud & Data Stack Expertise: Strong technical background in GCP or Azure infrastructure, MongoDB/PostgreSQL, and cloud-native serverless architecture. AI/ML & IDP Mastery: Deep practical understanding of document classification, OCR/ICR extraction, schema design, and model fine-tuning. Startup Growth Mindset: Thrives in fast-paced environments with a bias for action, creative problem-solving, and continuous learning.

What We Offer

Location: Fully remote work. Day-One Benefits: Enjoy comprehensive health, wellness, and retirement plans with robust benefits starting on your first day of employment. Empowering Your Balance: Flexible vacation plan and flexible schedules to support your personal and professional well-being. Continuous Career Development: Elevate your skills through ongoing training, corporate learning resources, and internal advancement opportunities on a global scale. Compensation & Care: Competitive salary commensurate with your experience, paired with a comprehensive company-wide benefits package. Reasonably expected salary range: $107,500.00 - $143,300.00. Please note that an employee's starting salary may vary based on a variety of factors. Where State, Municipal, Provincial, Territorial or other legal minimum wages exceed the federal minimum wage, employees are entitled to the higher rate.