AI Architect

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,700, and has 57offices in 22 countries within key global markets.

We are seeking experienced Lead Architects to strengthen delivery of architecture work across our technology portfolio. These roles operate at the Lead Architect level and partner closely with our internal architecture team, engineering leads, and business stakeholders.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $125k - $135k/year & benefits (see below).

The Role

Responsibilities:

• 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.
• 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 No
  
  SQL 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 Archi Mate) and architecture…