AI Solutions Architect $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Not accepting applications on crossover.com at this time.
Description
Marketing and community engagement operations remain trapped in legacy approaches. The majority of organizations depend on oversized teams and aging tools to manually produce content, manage discussions, and mine insights from fragmented interactions. Even with the rapid advancement of AI technology, deploying a simple automation typically requires weeks, often culminating in a "pilot" that never transitions to production. The outcome: lost opportunities, exhausted teams, and technology infrastructures unable to match the pace of contemporary business.
IgniteTech is dismantling that framework. We substitute manual workflows with self-optimizing, AI-native platforms that operate at 10x the scale and velocity. Picture a marketing system that generates and publishes content driven by real-time trends, or a community environment that synthesizes, moderates, and channels insights within seconds—all built, deployed, and refined by a compact team of AI power coders in 24-hour cycles. We move beyond prototyping; we deliver production tools that immediately reshape operational practices.
This position is not designed for someone seeking to manage Jira tickets within a DevOps treadmill. You will not receive a specification to implement. Instead, you will assume ownership of the complete lifecycle of intelligent systems that automate and advance our client operations. You will surface pain points, design AI-first architectures, deliver MVPs in less than a day, and mature them into production-grade engines with measurable impact. If your goal is a sandbox for GenAI experimentation, look elsewhere. But if you intend to deploy GenAI as a strategic instrument, this is your opportunity.
You will join a small, elite team reengineering the operating model of entire business functions with AI as the foundation. You will engage directly with decision-makers, execute rapidly, and evaluate your contributions by real-world results. If that environment aligns with your ambitions, apply now!
What you will be doing
- Design and deploy functional AI prototypes in under 24 hours that immediately automate tangible business workflows
- Assume full ownership of AI solutions across their entire lifecycle—from design through deployment to monitoring—without requiring guidance or encountering organizational friction
- Propel continuous automation throughout the organization by surfacing new opportunities and refining existing solutions to align with evolving needs and capabilities
Key responsibilities
- Architect a fundamentally reimagined, AI-driven ecosystem that converts manual marketing operations and community platforms into intelligent engines that deliver 10x business impact
Candidate requirements
- AI-First Mindset (if your default approach is to write code first and then employ AI tools to verify or enhance your code, rather than the reverse, do not apply)
- A minimum of 5 years of full-stack software engineering experience (you must possess both front-end and back-end coding expertise)
- Professional experience integrating AI/LLMs (through APIs, prompt engineering, or automation) into production applications
- Proficiency with cloud infrastructures (AWS, GCP, or Azure) and developing scalable, distributed solutions
- A practical understanding of when and why to select specific LLM models for distinct tasks
- Demonstrated knowledge and prior implementation of the Model Context Protocol (MCP)
Applying for a role? Here’s what to expect.
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Chat-style
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Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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