Job Description
Our client, a IT Services and Consulting company, is looking for a AI/GenAI Solutions Lead/Architect for their Charlotte, NC location.
Responsibilities:
Requirements:
Why Should You Apply?
Responsibilities:
- Assemble architecture designs — produce clear, end-to-end architecture artifacts: solution designs, reference architectures, diagrams, patterns, and architecture decision records.
- Apply AI capabilities — design and integrate AI / GenAI / machine-learning components into solutions, and advise on appropriate patterns, tooling, and trade-offs.
- Drive rapid prototypes — build quick proofs of concept and working prototypes to validate architecture decisions, de-risk options, and accelerate stakeholder alignment.
- Partner across teams — work with engineering, product, and business partners to align architecture with delivery goals and non-functional requirements (security, scalability, resilience, cost).
- Document and communicate — present designs and trade-offs clearly to both technical and non-technical audiences, and keep architecture documentation current and usable.
- Uphold standards — apply enterprise architecture standards, controls, and best practices throughout design and prototyping.
Requirements:
- Demonstrable hands-on AI experience — practical work building, integrating, or architecting AI / GenAI / ML solutions.
- Proven ability to put architecture details together — a track record of producing clear, complete architecture designs and documentation.
- Ability to drive quick prototypes — rapidly stand up POCs and working prototypes to test and demonstrate ideas.
- Senior, hands-on technical background operating at a Lead Architect level, with strong design fundamentals across modern application, integration, and cloud patterns.
- Strong communication skills — able to explain architecture and trade-offs to technical teams and business stakeholders alike.
- Self-directed and comfortable working across ambiguity to deliver tangible outcomes quickly.
- Representative technical skills for these roles. Candidates should bring strong depth across several of these areas — tailor to our stack as needed:
- AI & Machine Learning — GenAI and large language models (LLMs), retrieval-augmented generation (RAG), agentic and prompt-engineering patterns, model APIs and integration, embeddings and vector stores; familiarity with common ML frameworks.
- Cloud & Platform — hands-on experience with at least one major cloud (AWS, Azure, or GCP); containers and orchestration (Docker, Kubernetes); serverless services.
- Architecture & Integration — microservices, event-driven and API-led design, REST / GraphQL APIs, messaging and streaming (e.g., Kafka), and enterprise integration patterns.
- Data & Information Architecture — data modeling, relational and NoSQL databases (strong SQL), data lakes / warehouses, ETL / ELT pipelines, and data governance / metadata.
- Languages & Prototyping — proficiency in Python and/or Java (or comparable); rapid prototyping, scripting, and notebook-based experimentation.
- Engineering Practices — CI/CD, infrastructure as code (e.g., Terraform), Git-based version control, and automated testing.
- Architecture Tooling — modeling and diagramming (C4, UML, or ArchiMate) and architecture decision records (ADRs).
- The following are strong pluses and will differentiate candidates, but are not strict requirements:
- Depth in data / information architecture — experience designing data models, information flows, data platforms, or enterprise information architecture.
- Finance domain experience — prior work in Finance functions, especially Controllers / financial control and related processes.
- Architecture artifacts and prototypes are delivered quickly and are clear enough to drive decisions.
- AI options are evaluated and applied pragmatically, with sound trade-off analysis.
- Stakeholders trust the designs and can act on them with minimal rework.
- Years of Experience: 9.00 Years of Experience
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Numbers & Facts
| Location | Charlotte, NC |
| Industry | Management Consulting Services |
| Salary | $50.71–$55.71 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
- Adverse Eventsunmatched
- Amazon Web Services (AWS)unmatched
- Apache Kafkaunmatched
- Application Integrationunmatched
- Application Programming Interface (API)unmatched
- Architectural Designunmatched
- Artificial Intelligence (AI)unmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Data Modelingunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Dockerunmatched
- Documentationunmatched
- Documentation Designunmatched
- Enterprise Architectureunmatched
- Financeunmatched
- Financial Controlunmatched
- GCP (Good Clinical Practices)unmatched
- Gitunmatched
- GraphQLunmatched
- Health Planunmatched
- Information Architectureunmatched
- Information Modelsunmatched
- Information Technology Consultingunmatched
- Javaunmatched
- Machine Learningunmatched
- Machine Toolunmatched
- Metadataunmatched
- Microservicesunmatched
- Microsoft Windows Azureunmatched
- Modeling Languagesunmatched
- NoSQLunmatched
- Options Analysisunmatched
- Proof of Conceptunmatched
- Prototypingunmatched
- Prototyping Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- REST (Representational State Transfer)unmatched
- Rapid Prototypingunmatched
- Relational Databases (RDBMS)unmatched
- Riskunmatched
- SQL (Structured Query Language)unmatched
- Scripting (Scripting Languages)unmatched
- Source Code/Configuration Management (SCM)unmatched
- Test Automationunmatched
- Trade-Off Analysisunmatched
- Unified Modeling Language (UML)unmatched
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