IL
AI/GenAI Solutions Lead/Architect
ICONMA, LLC
🇺🇸 United States
On-site
Staff / Principal
1 month ago
$50.71 – $55.71 / hour
- AI
- Machine Learning
- Large Language Models
- RAG
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Microservices
- Data Modeling
- NoSQL
- SQL
- ETL
- ELT
- Python
- Java
- CI/CD
- IaC
- Terraform
- Git
- UML
1 month ago
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
AI/GenAI Solutions Lead/Architect · ICONMA, LLC