AI Solutions Architect (LLMs & AI Agents)
HybridMexico City, Mexico City, Mexico
Job Summary
Design and implement AI agent architectures for sales workflows, including autonomous agents for lead qualification, deal coaching, and pipeline analytics. Own the product backlog and roadmap for AI agent capabilities, defining priorities, writing user stories, and making trade-off decisions based on business impact. Architect multi-agent orchestration systems using modern frameworks like LangChain and AutoGen, ensuring production-grade reliability and scalability. Build integrations between AI agents and sales platforms such as Salesforce to deliver real-time contextual intelligence to sellers. Define success metrics for adoption and win-rate impact, using data to iterate rapidly and demonstrate ROI to stakeholders. Lead sprint planning and backlog grooming to ensure the engineering team delivers incrementally against a clear product vision.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, Software Engineering, or related field
- 5+ years in solution architecture or senior software engineering
- 2+ years focused on AI/ML or agentic systems
- Proven experience as a product owner or technical product manager
- Expert-level Python
- Hands-on experience with AI/ML frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, or equivalent)
- Strong knowledge of LLMs, RAG architectures, vector databases, embedding models, and prompt engineering
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with CI/CD pipelines for ML systems
- Familiarity with CRM platforms (Salesforce preferred)
- Familiarity with sales technology ecosystems
- Fluent in English
Desired Qualifications
- Experience as a product owner or technical product manager — owning backlogs, defining roadmaps, and delivering business outcomes
- Experience with CRM platforms (Salesforce preferred)
- Experience with sales technology ecosystems
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