Enterprise AI Architect | MLOps & Data Strategy

SWITS DIGITAL Private Limited; Washington (District of Columbia); On-site; USD 130,000 - 160,000; Full time

Job summary

A tech solutions company based in Washington, D.C, is seeking an experienced AI Architect to lead the design and implementation of AI systems. The ideal candidate will have over 8 years of experience in software engineering, focusing on AI/ML, with strong communication skills to bridge technical and non-technical stakeholders. Responsibilities include transitioning AI projects to enterprise systems, selecting AI technologies, and ensuring ethical usage. This role presents a significant opportunity to shape enterprise AI strategies and optimize costs associated with AI workloads.

Qualifications

• 8–10+ years in software engineering or data architecture, including 4+ years in AI/ML.
• Proven ability to manage and optimize computing costs for heavy AI workloads.
• Exceptional communication skills for non-technical stakeholders.

Responsibilities

• Lead transition of AI projects from PoCs to enterprise-wide systems.
• Evaluate and select AI technologies based on business needs.
• Design end-to-end AI pipelines for model deployment and monitoring.
• Implement robust MLOps practices for continuous model training.
• Collaborate with data engineers to design advanced AI data architecture.
• Establish ethical guardrails for AI usage and compliance.

Skills

AI/ML systems design and deployment

Cost Management

Communication & Leadership

Database Knowledge

Tools

SQL

Snowflake

BigQuery

Job description

A tech solutions company based in Washington, D.C, is seeking an experienced AI Architect to lead the design and implementation of AI systems. The ideal candidate will have over 8 years of experience in software engineering, focusing on AI/ML, with strong communication skills to bridge technical and non-technical stakeholders. Responsibilities include transitioning AI projects to enterprise systems, selecting AI technologies, and ensuring ethical usage. This role presents a significant opportunity to shape enterprise AI strategies and optimize costs associated with AI workloads.