AI Solutions Architect

Aalo Atomics • Austin, TX

13d • Onsite

About The Position

We’re hiring an AI Solutions Engineer to work directly with internal stakeholders and turn real workflows into production AI systems. At Aalo, AI is becoming part of how the company operates day to day. This role focuses on rapidly understanding workflows, building solutions with AI-native tools, and productizing systems for internal teams across the business. This role sits at the intersection of engineering, operations, and stakeholder collaboration. You will work as part of a small, highly collaborative AI team and partner directly with internal clients to turn meetings, workflows, data, and rough prototypes into working systems. Your job is to work closely with stakeholders and the broader AI team to move quickly from requirements to implementation, while making sure the resulting workflows are useful, maintainable, adopted, and trusted in day-to-day use. This is a forward-deployed software and systems engineering role with strong workflow, integration, and productization responsibilities.
Examples of the systems and workflows this role may touch include:
AI-assisted engineering workflows, document control, and approval automation
Multi-agent licensing review, regulatory analysis, and contracting workflows
Factory orchestration across manufacturing, inventory, procurement, quality, traceability, shipping, and receiving systems
Supplier qualification, approved-vendor management, and procurement workflows
Enterprise business systems across HR, finance, accounting, ERP, spend-management, and audit-sensitive workflows
Engineering data systems including PLM, CAD, technical documents, and revision-controlled approval flows
Meeting intelligence including transcription, summarization, and action-item capture
Tuning advanced simulation and modeling frameworks to improve the statistical accuracy and speed of nuclear site characterization
Cross-functional AI workflows that connect siloed systems and teams through automation
Common technology categories and engineering patterns in the stack include:
Backend application development and scripting
Internal web applications and workflow interfaces
Relational and document-oriented databases
APIs, integration services, and service-oriented backend systems
AI models, coding agents, agent harnesses, and orchestration frameworks
Enterprise integrations, browser automation, and workflow orchestration
Containers, CI/CD, and internal deployment patterns
Shared platform services for observability, evaluation, identity, and secure model access
Cloud platforms, secure storage, enterprise authentication, and secrets management
Data pipelines, background jobs, and automation glue across internal systems

Requirements

• Strong engineering fundamentals
• You can design systems with clear data models, APIs, service boundaries, and integration patterns
• You write clear, maintainable code and can judge whether generated code is correct, secure, and maintainable
• You have strong engineering judgment and know how to keep workflow solutions simple without sacrificing reliability
• High output and follow-through
• You are comfortable taking incomplete requirements or rough prototypes and turning them into working systems
• You handle integrations, edge cases, stakeholder feedback, and production issues without losing momentum
• You care about delivering working systems that real internal users will adopt, not just interesting demos
• AI-native working style
• You already use AI coding agents or agentic development workflows as part of your daily engineering process
• You have demonstrated interest in AI through real projects, experiments, evaluations, or sustained use of new models and tools
• You can guide, evaluate, and refine AI-generated code rather than relying on it blindly
• You think in terms of leverage, fast feedback loops, and compounding workflow improvements
• Team-first mindset
• You are comfortable working closely with internal clients, platform engineers, and cross-functional partners to understand what should be built
• You communicate clearly, gather requirements well, and can bridge stakeholders and implementation
• You optimize for useful outcomes, adoption, and long-term maintainability rather than narrow ownership
• Interest in where this is going
• You are excited by the idea that software engineering is shifting toward higher-level system design, supervision, and evaluation
• You want to help productize AI workflows across the company while preserving human judgment and control
• You are comfortable working in a role that will evolve as the system becomes more capable
• Based in the United States
• Willing to work on-site in Austin, TX
• Applicants must be U.S. Citizens or U.S. Persons in compliance with 10 CFR Part 810 and may not hold non-compliant foreign citizenships.

Nice To Haves

• Experience in manufacturing, industrial systems, energy, nuclear, logistics, or other physical-world domains
• Experience working in regulated, high-reliability, audit-sensitive, or compliance-sensitive environments
• Background in internal tools, integrations, workflow software, operational systems, or technical business processes
• Familiarity with engineering documentation, PLM/CAD-adjacent workflows, quality systems, or AI-driven workflow tooling

Responsibilities

• Sit down with internal stakeholders, learn their workflows, and translate ambiguous problems into working requirements and implementation plans
• Build and iterate AI-enabled workflows from first pass to production through integration, edge-case handling, testing, hardening, rollout, and adoption support
• Work in a rapid delivery loop where AI-generated implementations are refined quickly into reliable internal tools
• Review, debug, and refine AI-generated code and workflows to ensure they are useful, maintainable, and safe to operate
• Use shared platform capabilities for observability, evaluation, and secure model access while helping improve them through real-world feedback
• Work closely with platform engineers and internal stakeholders to connect systems across departments and productize workflows that save time, reduce friction, improve operational quality, and earn trust with the teams that use them
• Contribute reusable components, patterns, and workflow solutions back to the broader internal AI platform

Benefits

• Competitive salary starting at $130,000
• Health, Dental, Vision Insurance
• Paid Time Off
• Corporate Gym Membership
• collaborative and supportive work environment
• opportunities for professional growth
• intellectually challenging careers
• competitive compensation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed