Solutions Architect - Applied AI/ML

Our Story

Over the past several years, Able has grown immeasurably. We’ve also grown in the type of company that we are:

Chapter 1: We were founded in 2013 as a product and engineering hub for a portfolio of early-stage start-ups. We grew up as an in-house/external hybrid shared services model. That allowed us to hone our skills and establish our operational and cultural foundation.

Chapter 2: In 2019 we began to expand our vision. We began to grow outside of our inset partner base. We had good initial success meeting new partners, kicking off new relationships, and delivering high-value work.

Chapter 3: In 2023, we moved into the next phase of a new chapter, an expansion of the ambition of Chapter 2. Our strategy for growth centers around two audiences:

• Venture Capital. VC firms are looking for trusted product and technology solutions to distribute seamlessly across their portfolios at scale. The founders at their portfolio companies are looking for capabilities that can accelerate their businesses' go-to-market time, while minimizing cost and risk.
• Private Equity. PE firms are looking for trusted solutions that can catalyze growth for their portfolio companies at scale. The leaders of those companies are looking to leverage technology to unlock growth from their organizations.

Chapter 3a: We are now in the next phase of Chapter 3, aligned to our mission and vision, and accelerated by the powers of applied AI. We believe that AI will be a powerful force in the end-to-end software development lifecycle. Specifically we are creating practices that – coupled with our world class talent – can deliver software significantly faster than legacy techniques. The result is increased value for our partners, who can dramatically increase the capacity of their product organizations. 

We're seeking an experienced Solutions Architect to design and deliver impactful, production-ready, and scalable AI/ML solutions. You'll partner with our clients (we call them partners) and internal teams to solve complex business challenges, architecting scalable technical solutions while being a trusted advisor on AI technology implementation.

Your Day-to-Day Responsibilities

Reporting into the Principal Consultant, this role will oversee:

Strategic Architecture Leadership

• 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

Client/Partner Value Creation

• 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

Technical Architecture and Delivery

• 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

Business Impact and Solutions

• 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

What we’re looking forIdeally this candidate would have:

• 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

The following skills and experiences are considered an asset:

• 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.

This position is 100% remote within LatAm.  Strong verbal and written communication skills in English are a requirement.  

Able's Values

• Put People First: We're caring, open, and encouraging.  We respect the richness that we each bring into our work.
• Imagine Better: We are optimistic in our outlook, as well as creative and proactive to deliver the highest quality.
• Expect Excellence: We commit to each other to always strive to be our best.
• Simplify to Solve: We create better outcomes by reducing complexity.
• We are all Builders: We are motivated and empowered to help build Able, and our partner's businesses.
• One Able. Many Voices: Our unity is our strength.  Our diversity is our energy.

Let’s build together.

Able is committed to inclusion and diversity and is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.