BALIN TECHNOLOGIES LLC · 14 hours ago
AI Solution Architect
Denver, CO
Full-time
Onsite
Senior Level, Lead/Staff
15+ years expBALIN TECHNOLOGIES LLC is seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture and AI/ML platforms. The role involves designing and delivering scalable, secure, and enterprise-grade data and AI solutions, collaborating closely with business and engineering teams to drive AI-led transformation.
Computer Software
Responsibilities
Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
Define scalable data platforms supporting batch, streaming, and real-time analytics
Establish data governance, metadata management, data quality, lineage, and security frameworks
Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
Define and implement ML Ops frameworks (CI/CD for ML, feature stores, model registries, observability)
Collaborate with data scientists to productionize ML models at scale
Evaluate and recommend ML frameworks, tools, and best practices
Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
Design Conversational Analytics and AI-powered BI solutions
Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems
Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
Integrate BI tools with data Lakehouse and AI layers
Enable semantic layers, metrics definitions, and governed analytics
Ensure architectures follow best practices for security, scalability, performance, and cost optimization
Partner with business leaders to translate business requirements into AI-driven solutions
Lead technical design reviews and architecture governance
Mentor engineers, architects, and data scientists
Create architecture blueprints, reference architectures, and technical documentation
Qualification
Required
1015+ years overall experience (with 5+ years in AI/Data Architecture roles)
Deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions
Strong hands-on experience across datalake house architectures, modern BI platforms, ML/ML Ops, Conversational Analytics, Generative AI, and Agentic AI frameworks
Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
Define scalable data platforms supporting batch, streaming, and real-time analytics
Establish data governance, metadata management, data quality, lineage, and security frameworks
Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
Define and implement ML Ops frameworks (CI/CD for ML, feature stores, model registries, observability)
Collaborate with data scientists to productionize ML models at scale
Evaluate and recommend ML frameworks, tools, and best practices
Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
Design Conversational Analytics and AI-powered BI solutions
Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems
Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
Integrate BI tools with data Lakehouse and AI layers
Enable semantic layers, metrics definitions, and governed analytics
Ensure architectures follow best practices for security, scalability, performance, and cost optimization
Partner with business leaders to translate business requirements into AI-driven solutions
Lead technical design reviews and architecture governance
Mentor engineers, architects, and data scientists
Create architecture blueprints, reference architectures, and technical documentation
Strong experience in Data Architecture & Data Platforms
Hands-on expertise in Data Lakehouse architectures
Deep understanding of end-to-end data management
Experience with modern BI platforms and analytics ecosystems
Strong background in AI/ML architecture and MLOps
Proven experience in Conversational Analytics and Generative AI
Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
Preferred
Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
Experience working in large-scale enterprise or consulting environments
Strong communication and stakeholder management skills
Company
BALIN TECHNOLOGIES LLC
At Balin Technologies LLC, we are driven by innovation, excellence, and a deep commitment to helping businesses transform through technology.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase