AI Architect

Title: AI Architect

Location: Washington DC - Onsite

Duration: Long Term

Experience: 10 Years

Job Description:

Experience Level:10 years in software engineering or data architecture with at least 4 years specifically dedicated to AI/ML systems design and deployment in production environments.

Cost Management: Proven ability to manage and optimize the computing costs associated with running heavy AI workloads (e.g. token optimization GPU allocation).

Communication & Leadership: Exceptional ability to translate complex AI capabilities and limitations to C-suite executives and non-technical stakeholders.

Database Knowledge: Familiarity with SQL and data warehousing concepts (e.g. Snowflake BigQuery) for data pipeline orchestration.

Essential Job Functions & Required Skills:

Enterprise AI Strategy: Lead the transition of AI projects from localized Proof of Concepts (PoCs) to scalable enterprise-wide production systems.

Technology Selection: Evaluate and select the appropriate AI technologies (e.g. Deep Learning Natural Language Processing Computer Vision Generative AI) based on business requirements cost latency and data privacy constraints.

Architecture Design: Architect end-to-end AI pipelines including data ingestion model training/fine-tuning deployment and monitoring.

MLOps & Infrastructure: Design and implement robust MLOps practices for continuous integration continuous deployment (CI/CD) and continuous training (CT) of AI models to prevent model drift and degradation.

Data & Integration: Work closely with data engineers to design the data architecture required for advanced AI including vector databases and complex RAG workflows.

AI Governance & Ethics: Establish guardrails for AI usage ensuring models are fair transparent secure against adversarial attacks and compliant with data privacy regulations (e.g. GDPR CCPA).