AI Solutions Architect: Lead Scalable AI Solutions (Remote)

CapTech Consulting; Charlotte (NC); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible work environment

Tuition support

Mentorship programs

Health coverage

401(k) Matching

Job summary

CapTech seeks an experienced Solutions Architect – AI to design, lead, and deliver AI solutions for diverse clients. You will translate business needs into scalable AI architectures, guiding data pipelines, model development, deployment, and governance across cloud platforms.

Collaborate with stakeholders, data scientists, and engineers to drive production-ready outcomes while staying current on AI trends and best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Responsibilities

• Partner with client stakeholders to understand business objectives and identify opportunities to leverage AI/ML solutions.
• Lead workshops, discovery sessions, and solution envisioning engagements.
• Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring.
• Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP).
• Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision).
• Provide technical leadership across AI initiatives from concept through production.

Skills

API design

Microservices

Containerization

AWS

Azure

GCP

LangChain

Vector databases

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Docker

Kubernetes

Spark

Kafka

Databricks

Snowflake

LLMs

Job description

CapTech seeks an experienced Solutions Architect – AI to design, lead, and deliver AI solutions for diverse clients. You will translate business needs into scalable AI architectures, guiding data pipelines, model development, deployment, and governance across cloud platforms.

Collaborate with stakeholders, data scientists, and engineers to drive production-ready outcomes while staying current on AI trends and best practices.