Solutions Architect

Summary

Join Able, a rapidly growing technology company, as a Solutions Architect to design and deliver impactful AI/ML solutions. You will collaborate with clients and internal teams, leading AI transformation initiatives and architecting scalable technical solutions. This role requires extensive experience in software engineering, AI/ML system design, and consulting. You will be responsible for conducting technical discovery, presenting solutions, building relationships, and ensuring alignment between business objectives and technical implementation. The position is 100% remote within LatAm and offers the opportunity to work on cutting-edge AI technologies.

Requirements

• 10+ years of software engineering and architecture experience, with 5+ years designing and implementing production-scale AI/ML systems
• Experience designing and integrating ML models into web and mobile applications
• Extensive consulting experience with proven ability to drive AI transformation initiatives and articulate business value through measurable outcomes
• Recent hands-on experience building GenAI/LLM solutions, including RAG architectures, prompt engineering, and model fine-tuning
• Deep expertise in AI/ML technologies, spanning both traditional approaches (NLP, CNNs, RNNs, Transformers) and modern LLM architectures
• Strong command of Python with expertise in GenAI frameworks (LangChain, Hugging Face, CrewAI), ML frameworks (TensorFlow, PyTorch), and data processing libraries (Pandas, NumPy, Scikit-learn)
• Experience with AI-driven development methodologies and agentic workflows
• Strong proficiency in programming languages such as Java, C++, and JavaScript (NodeJS, NestJS) for production applications
• Demonstrated experience with cloud platforms and their AI services (AWS Bedrock, Vertex AI, Azure OpenAI) and vector databases (Pinecone, ChromaDB) for production deployments
• Proven track record of implementing MLOps practices and designing scalable infrastructure at enterprise scale
• Strong expertise in modern architecture patterns such as microservices, event-driven, and distributed systems
• Excellent verbal and written communication skills in English

Responsibilities

• Lead AI transformation initiatives and architectural vision across partner engagements
• Drive decisions for AI platform strategy and technology selection
• Establish governance frameworks, technical standards, and AI implementation best practices
• Guide cross-functional teams in adopting AI solutions at scale
• Conduct technical discovery workshops and architecture reviews to understand business challenges and define AI solution strategies
• Present complex technical solutions to diverse stakeholders, translating business needs into actionable architectural recommendations
• Build and maintain trusted advisor relationships across technical and business teams, driving technology selection and adoption
• Deliver tailored recommendations and strategic roadmaps to ensure alignment between business objectives and technical implementation
• Design and implement production-grade AI architectures including LLM pipelines and inference systems
• Develop technical solutions for model deployment, scaling, and performance optimization
• Create MLOps frameworks for continuous training, monitoring, and model governance
• Build reusable reference architectures and implementation patterns for AI solutions
• Enable team success through knowledge sharing, mentoring, and documentation of best practices and compliance requirements
• Design and validate AI solution approaches through rapid prototyping and targeted POCs
• Architect simple and pragmatic AI solutions that balance technical sophistication with business value and ROI
• Identify opportunities for AI-powered efficiencies across client business processes
• Define and track success metrics to measure the business impact of AI implementations

Preferred Qualifications

• Master's degree in Computer Science, AI Engineering, or related field
• Experience implementing advanced AI systems, including autonomous agents, semantic routing, and reasoning-based systems for complex enterprise workflows
• Professional certifications in cloud platforms (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer) and relevant AI/ML technologies
• Hands-on experience with emerging AI platforms and services beyond traditional offerings, such as Anthropic, Cohere, or other specialized AI providers
• Experience building AI-powered developer productivity tools and implementing AI-assisted software development workflows

Benefits

100% remote within LatAm