Principal Data & AI Architect
American CyberSystems
Charlotte, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 171KJob location
Charlotte, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Business Logic
Azure
Big Data
Cloud Computing
Information Systems
Data Architecture
Data Deduplication
Data Governance
Dataspaces
Data Structures
Graph Database
Information Lifecycle Management
Machine Learning
Metadata
Meta-Data Management
Search Technologies
Systems Architecture
Systems Integration
Enterprise Data Management
Google Cloud Platform
Enterprise Software Applications
Large Language Models
Data Layers
Event Driven Architecture
Data Lake
Information Technology
Data Lineage
Enterprise Integration
Data Management
Virtual Agents
Legacy Systems
Job description
- Lead the design and implementation of a consolidated enterprise data platform that integrates multiple legacy systems into a unified, governed data ecosystem.
- Assess current-state systems, data models, integrations, and business processes to develop target-state architecture.
- Define strategies for master data management (MDM), metadata management, data quality, and data lifecycle governance.
- Establish a scalable architecture supporting structured, semi-structured, and unstructured enterprise data.
- Systems Integration & Modernization
- Architect solutions leveraging APIs, event-driven architectures, data fabrics, data lakes, and modern cloud-native services.
- Define approaches for data harmonization, transformation, deduplication, and lineage tracking.
- Manage technical dependencies and integration risks across multiple business domains.
- Authorized Data Source Strategy
- Establish and maintain a trusted "system of record" and enterprise-wide single source of truth.
- Implement governance frameworks ensuring data consistency, ownership, security, compliance, and auditability.
- Partner with business stakeholders to define authoritative data domains and stewardship models.
- Create enterprise taxonomy and business-aligned data standards.
- Semantic AI & Knowledge Layer Development
- Design and implement a semantic layer that provides business context and meaning across enterprise data assets.
- Develop knowledge graph, ontology, and metadata strategies that support advanced AI and search capabilities.
- Create architectures that enable retrieval-augmented generation (RAG), semantic search, and contextual reasoning.
- Ensure data structures and governance practices support AI-ready enterprise information.
- Agentic AI Architecture
- Define frameworks for deploying AI agents capable of interacting with enterprise systems and workflows.
- Design secure agent orchestration layers leveraging governed enterprise data and business logic.
- Enable conversational interfaces, intelligent automation, task execution, and decision-support capabilities.
- Establish guardrails, monitoring, observability, and governance for autonomous AI operations.
- Leadership & Strategy
- Serve as the technical leader for enterprise modernization initiatives.
- Develop multi-year architecture roadmaps aligned with organizational business objectives.
- Mentor data engineers, architects, AI specialists, and platform teams.
- Present solution designs and recommendations to executive leadership and business stakeholders.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
- Experience in enterprise data architecture, systems architecture, or digital transformation initiatives.
- Proven experience consolidating complex legacy systems into modern enterprise platforms.
- Strong expertise in:
- Data architecture and modeling
- Enterprise integration architecture
- Cloud platforms (Azure, AWS, or Google Cloud)
- Data governance and master data management
- Metadata management and data catalogs
- API and event-driven architectures
- Large-scale data migrations and modernization programs
- Experience designing enterprise semantic layers, knowledge graphs, or ontology-driven architectures.
- Deep understanding of AI, machine learning, large language models (LLMs), and retrieval architectures.
- Experience leading enterprise-wide transformation programs involving multiple stakeholders and business units.
Benefits & conditions
Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).
About the company
ABOUT INNOVA SOLUTIONS: Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion. Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields.
Recent Recognitions:
* Named One of America's Best Employers for New Grads by Forbes (2024
* Named One of the Best Companies to Work for by U.S. News & World Report (Private Companies List, 2024-2025)
* One of the Largest IT Staffing Firms in the US - Ranked #3 by Staffing Industry Analysts (SIA, 2024)
* One of the Largest Staffing Firms in the US - Ranked #13 by Staffing Industry Analysts (SIA, 2024; includes Innova Solutions, Volt, & HireGenics)
* Named One of the Top Ten Private Companies in Atlanta by the Atlanta Business Chronicle (2023)
* One of the Largest Certified Minority Business Enterprises (MBEs) in the United States (NMSDC, 2024)
* AWS Advanced Tier Services Partner with 100+ certifications
*, for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. § 1324b.
The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
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