Lead AI Architect - GenAI, Cloud & Data

Synechron

Charlotte (NC)

On-site

USD 125,000 - 135,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and benefits
Global offices in 22 countries
10 days of paid annual leave
Maternity & paternity leave plans
Comprehensive insurance plan
Retirement savings plans
Udemy for Business access
Coaching opportunities with FinLabs/Co
Extensive training opportunities
Diverse, global work culture

Job summary

Synechron is seeking experienced Lead Architects to strengthen delivery across our technology portfolio in Charlotte, NC. You will design AI-enabled architectures, prototype rapidly, and collaborate with engineering, product, and business partners to align delivery goals with security, scalability, and cost considerations.

Ideal candidates have hands-on AI/GenAI experience, strong cloud and integration skills, and a track record of delivering large-scale architectures.

Qualifications

  • Hands-on experience building or architecting AI/GenAI/ML solutions.
  • Proven ability to produce clear architecture designs and documentation.
  • Ability to stand up rapid prototypes and POCs to validate decisions.

Responsibilities

  • Apply AI capabilities to design and integrate AI/GenAI components.
  • Drive rapid prototypes to validate architecture decisions and de-risk options.
  • Partner with engineering, product and business teams to align architecture with delivery goals.
  • Document and communicate designs and trade-offs to technical and non-technical audiences.
  • Uphold enterprise architecture standards and best practices across design and prototyping.

Skills

Hands-on AI
Lead Architect experience
Cloud architecture
Microservices
REST/GraphQL
Data & SQL
Python/Java
CI/CD
DevOps
Architecture documentation

Tools

Docker
Kubernetes
Terraform
REST API tooling

Job description

Synechron is seeking experienced Lead Architects to strengthen delivery across our technology portfolio in Charlotte, NC. You will design AI-enabled architectures, prototype rapidly, and collaborate with engineering, product, and business partners to align delivery goals with security, scalability, and cost considerations.

Ideal candidates have hands-on AI/GenAI experience, strong cloud and integration skills, and a track record of delivering large-scale architectures.

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