AI Architect $60,000 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
The software sector is widely recognized for missed deadlines and budget overruns, with approximately one-third of initiatives failing to adhere to planned schedules because of obsolete methodologies. In this context, conventional programming approaches no longer suffice to satisfy escalating expectations for quicker, more dependable, and superior-quality software products.
IgniteTech distinguishes itself through the implementation of transformative Generative AI capabilities that fundamentally reshape software engineering. This position extends well beyond typical AI use cases centered on incremental gains; it involves spearheading large-scale, strategic initiatives that harness AI to drive substantial improvements in both productivity and innovation across all operations. Upon joining, you will design and implement AI-powered architectures that compress development cycles, minimize defects, and provide solutions with exceptional scalability, establishing new benchmarks for the software sector.
This position is ideally suited for candidates who have:
- Developed code components for embedding advanced LLMs into production systems (e.g., automated customer service agents, API connectors)
- Augmented legacy platforms with predictive modeling or tailored recommendation engines through automated AI frameworks
- Leveraged AI to efficiently resolve recurring defects and enhancement requests (e.g., live language translation or dynamic content customization)
This position targets seasoned practitioners who have delivered meaningful Generative AI implementations in operational environments. Candidates lacking hands-on experience with projects of this scope should not apply.
What you will be doing
- Developing New AI-Driven Products and Capabilities: Fine-tune LLMs to design entirely new AI-enabled offerings and discrete modules that integrate smoothly into current solutions or serve as the core of novel products, as exemplified by our team's recent work on www.eloquens.ai
- Streamlining Internal Operations: Deploy sophisticated AI methodologies to automate internal functions and operational workflows
Key responsibilities
- Drive accelerated product delivery and elevated customer satisfaction through ongoing AI-powered enhancements
Candidate requirements
- AI-First Mindset (candidates whose default approach is to write code manually before applying AI tools for validation or refinement, rather than leading with AI, should not apply)
- A minimum of 1 year of full-stack development experience (proficiency in both front-end and back-end programming is mandatory)
- Extensive hands-on use of GenAI coding assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Demonstrated track record of deploying Generative AI solutions that produced measurable, significant business outcomes
- Proven experience applying multiple LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- Clear comprehension of the rationale and criteria for selecting particular LLM models for varied use cases
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