Solutions Architect - Applied AI/ML @ Able | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Solutions Architect - Applied AI/ML jobs in Remote, LatAm
44 applicants
company-logo

Able · 3 hours ago

Solutions Architect - Applied AI/ML

ftfMaximize your interview chances
Information TechnologyProfessional Services
check
Comp. & Benefits

Insider Connection @Able

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML systems designProduction-grade AI architecturesPython programmingMLOps practicesGenAI frameworksCloud platformsAI transformation initiativesMicroservices architectureJava programmingC++ programmingJavaScript programmingData processing librariesAI-driven development methodologiesVector databasesAdvanced AI systemsProfessional certificationsEmerging AI platforms

Required

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

Preferred

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.

Company

Able

twittertwittertwitter
company-logo
Able is a product engineering company that combines world class human talent with cutting-edge AI tools to create software more efficiently.

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Angelo Pullen
Co-Founder
linkedin
leader-logo
Vince Cortese
Co-Founder
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot