Applied AI Architect: Production ML, LLMs & MLOps Lead

phData; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-First Work Environment

401k plan with company match

Dental and Vision insurance

Home Office Equipment Stipend

Annual Learning and Development Stiped

Competitive compensation and PTO

Job summary

phData, a remote-first data and AI consultancy, seeks an Applied AI Solutions Architect to translate complex client challenges into production-ready AI solutions. You will collaborate with stakeholders and cross-functional teams to design robust AI systems and guide implementations from prototype to production with reliability, governance, and responsible AI.

With 8+ years in data, analytics, cloud, software, ML, or AI, and at least 5 years leading AI/ML in production, you will leverage

Qualifications

• 8+ years designing, building, or delivering data/AI solutions.
• At least 5 years in AI, ML, MLOps, or production data systems.

Responsibilities

• Lead end-to-end Applied AI architectures spanning ML, MLOps, and generative AI.
• Translate business requirements into solution designs, roadmaps, and success criteria.
• Guide prototypes, proofs of concepts, and production deployments with quality and governance.
• Collaborate with client and internal stakeholders through workshops and discovery sessions.
• Ensure AI systems are secure, observable, scalable, and cost-effective.

Skills

Applied AI

MLOps

Generative AI

LLM applications

Python

SQL

Architectural design

Client engagement

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Snowflake

Databricks

AWS

Azure

Google Cloud

dbt

Anthropic/OpenAI

Job description

phData, a remote-first data and AI consultancy, seeks an Applied AI Solutions Architect to translate complex client challenges into production-ready AI solutions. You will collaborate with stakeholders and cross-functional teams to design robust AI systems and guide implementations from prototype to production with reliability, governance, and responsible AI.

With 8+ years in data, analytics, cloud, software, ML, or AI, and at least 5 years leading AI/ML in production, you will leverage