Infoverity · 1 day ago
AI Architect
Dublin, OH
Full-time
Hybrid
Senior Level
5+ years expInfoverity is seeking a Data & AI Architect to design, build, and scale enterprise data and AI solutions. This strategic role involves bridging business objectives with technical execution, and requires strong architectural judgment and customer engagement skills.
ConsultingData ManagementInformation Services
Responsibilities
Define Data & AI Strategy: Partner with business and technical stakeholders to translate enterprise challenges into data, analytics, and AI solution architectures, producing clear roadmaps, reference architectures, and implementation plans
Enterprise Integration: Architect solutions that integrate with enterprise source systems, APIs, operational platforms, and downstream consuming layers
Standards & Governance: Establish design patterns and technical standards across data management, analytics, and AI—covering security, scalability, performance, lineage, and compliance requirements
Modern Data Stack Architecture: Design and implement scalable data pipelines, transformation layers, and orchestration frameworks across platforms such as Databricks, Snowflake, Microsoft Fabric, GCP or similar
Analytics & Semantic Layers: Support dimensional modeling, feature stores, and semantic layers to enable BI, advanced analytics, and AI workloads
Cloud Infrastructure: Design secure and best practice architectures on AWS, Azure or GCP, leveraging managed services, serverless patterns, and containerized workloads (Docker/Kubernetes) where appropriate
AI Enablement on Data Platforms: Enable AI and ML workloads using curated, governed enterprise data—supporting model training, inference, and retrieval-based architectures (e.g., RAG)
Agent-Based Architectures: Design and deploy agentic or workflow-driven AI solutions, incorporating orchestration, tool/function calling, guardrails, and observability to support multi-step business processes
Prototyping to Production: Lead Proof-of-Concept and pilot initiatives, validating business value and technical feasibility before scaling to production-grade solutions
Technical Leadership: Review solution designs, contribute to critical implementation components, and mentor engineers across data engineering, analytics, and AI best practices
Cross-Team Collaboration: Partner with delivery leads and stakeholders to manage technical risks, trade-offs, and dependencies throughout project lifecycles
Operational Readiness: Support deployment, monitoring, and optimization of data and AI solutions to ensure reliability, performance, and long-term maintainability
Qualification
Required
5+ years in data engineering, software engineering, or solution architecture, with experience spanning data platforms and analytics or AI workloads
Strong hands-on experience with AWS or Azure, including data, analytics, and AI-related services
Proven experience designing or implementing solutions on Databricks, Snowflake, Microsoft Fabric, or similar platforms
Strong understanding of data ingestion, transformation, orchestration, and modeling patterns
Familiarity with Generative AI concepts (LLMs, embeddings, RAG), ML workflows, and how AI integrates with enterprise data platforms. AI Agents vs. Workflows and business process automation best practices
Experience with CI/CD, model or pipeline deployment, monitoring, lineage, and governance tooling (e.g., MLflow, orchestration frameworks)
Experience with microservices, APIs, event-driven architectures, and containerization
Proficiency in SQL, Python, Spark, and distributed data processing frameworks
Excellent problem-solving, communication, and client-facing consulting skills
Ability to work independently and as part of a team
Ability to connect data and AI capabilities to measurable business outcomes
Comfortable explaining architectural decisions to both technical and non-technical audiences
Strong appreciation for security, governance, compliance, and operational rigor in large organizations
Preferred
Degree in Computer Science, Data Engineering, Data Science, or related field
Cloud or platform certifications (AWS, Azure, Databricks, Snowflake)
Experience working in consulting or customer-facing delivery environments
Benefits
Comprehensive, affordable, medical, dental, and vision coverage and support for you and your family
Life and disability insurance
A wide-ranging EAP
Pet insurance
A 401(k) plan with competitive employer contributions
Infoverity matches a portion of your donations
Ample opportunities for professional development and upskilling
Flexible hours and hybrid/remote work
100% Employee Owned company (ESOP)
Company
Infoverity
Infoverity leverages real-time solutions to help you master the art of enterprise data management
201-500 employees
H1B Sponsorship
Infoverity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Matt Wienke
Founder and President
Recent News
2025-02-26
Company data provided by crunchbase