Artificial Intelligence Engineer

Location: Remote / Hybrid only in Los Angeles, CA / Dallas, TX / Chicago, IL

Salary: $150,000 - $175,000 annually

Experience: 15–20+ years

We are seeking a Senior Cloud Data & AI Architect to lead enterprise-scale data modernization and AI transformation initiatives across complex, highly regulated environments. This role will focus on designing cloud data platforms, Lakehouse architectures, data products, and next-generation AI and GenAI solutions.

The ideal candidate combines deep expertise in Data Architecture, Cloud, Snowflake, Databricks, Data Governance, and AI/GenAI with the ability to work directly with senior business and technology stakeholders.

• Lead enterprise data platform modernization initiatives, including migration from on-premise environments to cloud.
• Architect scalable data lakes, Lakehouse platforms, streaming systems, and enterprise data products
  .
• Design and implement data integration and pipeline architectures supporting batch, real-time, and big data workloads.
• Develop and implement Snowflake and Databricks solutions across AWS, Azure, and GCP environments.
• Define enterprise data and AI strategies aligned with business objectives.
• Establish data governance frameworks covering data quality, metadata, lineage, privacy, security, and regulatory compliance
  .
• Define architectural guardrails, reusable patterns, templates, and reference architectures.
• Drive adoption of Data Mesh and Medallion Architecture principles across enterprise data organizations.
• Evaluate emerging technologies and lead proof-of-concept initiatives.
• Design and implement AI and GenAI solutions across the data value chain
  .
• Architect agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks such as Lang Chain, Auto Gen, and CrewAI
  .
• Design RAG pipelines incorporating memory, context management, retrieval, and tool usage.
• Develop Model Context Protocol (MCP) architectures to connect reasoning, retrieval, and action capabilities.
• Design Agent-to-Agent (A2A) communication and orchestration patterns for multi-agent workflows.
• Establish responsible AI frameworks and architectural standards for enterprise AI adoption.
• Review technical designs and elevate architectural practices across engineering and data teams.
• Serve as a trusted advisor to senior business and technology stakeholders.

• 15–20+ years of experience across data architecture, data engineering, analytics platforms, and enterprise technology.
• Strong experience leading large-scale data and cloud transformation programs within banking, financial services, insurance, or other regulated industries.
• Hands‑on expertise with Snowflake and Databricks
  , including Lakehouse architecture.
• Strong understanding of Data Mesh, Data Products, and Medallion Architecture
  .
• Deep experience with AWS, Azure, and/or GCP cloud data services.
• Strong background in enterprise data integration, big data, streaming, analytics, and reporting platforms.
• Experience establishing enterprise data governance, quality, metadata, and lineage frameworks.
• Strong understanding of enterprise architecture, security, privacy, and regulatory requirements.
• Hands‑on experience with Python and modern AI/GenAI technologies.
• Experience with OpenAI APIs, Anthropic Claude, LLMs, and prompt engineering
  .
• Experience with vector databases such as FAISS, Pinecone, or Weaviate
  .
• Understanding of MCP, RAG, ReAct, agentic AI, A2A orchestration, tool calling, and agent memory strategies
  .
• Experience with MLOps and enterprise AI/ML pipelines.
• Strong consulting, communication, stakeholder management, and leadership skills.

• Ability to translate complex business requirements into scalable enterprise architecture.
• Strong communication skills with the ability to influence technical and executive stakeholders.
• Experience creating standards and gaining consensus across multiple data and technology organizations.
• A strategic mindset combined with hands‑on technical depth.
• Ability to evaluate emerging AI and cloud technologies and determine where they can create measurable enterprise value.

$150,000–$175,000 per year