Senior AI/ML Solution Architect

Balin Technologies LLC

Santa Ana, CA

JOB DETAILS
SALARY
$90–$100 Per Hour
JOB TYPE
Temporary, Contractor, Part-time
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Blueprints, Conversation Engine, Cost Control, Cross-Functional, Data Sets, GCP (Good Clinical Practices), Mentoring, Return on Investment (ROI), Technical Leadership
LOCATION
Santa Ana, CA
POSTED
5 days ago

Job Title: Senior AI/ML Solution Architect

Location: Santa Ana, CA (Hybrid)

JD below:

Senior AI Solution Architect role, you should focus on these 5 high-impact skill clusters. These combine the \"must-have\" GCP technical stack with the emerging \"Agentic\" requirements that define this specific job.

  1. Agentic AI & Orchestration Frameworks

The JD specifically mentions Agentic AI and autonomous agents. Look for candidates who move beyond basic chatbots and can build systems that \"think\" and \"act.\"

Key Keywords: Vertex AI Agent Builder, LangChain, LangGraph, CrewAI, AutoGen.

What to look for: 

Experience building multi-step workflows where an AI agent uses APIs (tools) to complete a task, rather than just generating text.

  1. Vertex AI & MLOps Lifecycle

Since this is a GCP-centric role, the candidate must be an expert in the Vertex AI suite. They need to demonstrate they can productionize models, not just build them.

Key Keywords: Vertex AI Pipelines, Model Registry, Feature Store, Model Monitoring, CI/CD for ML.

What to look for: 

Candidates who have experience with \"Model Drift\" detection and automated retraining pipelines (MLOps).

  1. GCP Data Lakehouse Architecture

The \"Data\" half of the title requires a deep understanding of how to store and process the massive datasets that fuel AI.

Key Keywords: BigQuery (specifically BigQuery ML and BigLake), Dataproc, Dataflow, Medallion Architecture (Bronze/Silver/Gold).

What to look for: 

Experience unifying \"Data Lakes\" (unstructured storage) with \"Data Warehouses\" (structured SQL) into a single Lakehouse on GCP.

  1. Generative AI & RAG (Retrieval-Augmented Generation)

The role requires architecting solutions using LLMs like Gemini. The candidate must understand how to \"ground\" these models in company-specific data.

Key Keywords: Gemini (Pro/Flash), Vector Databases (Vertex AI Search & Conversation), Prompt Engineering, Embeddings.

What to look for: 

Evidence of building RAG architectures where an LLM retrieves real-time data from a database to provide accurate, non-hallucinated answers.

  1. Cross-Functional Technical Leadership

At the 10–15+ year level, this person is a \"Senior Visionary.\" They need to bridge the gap between business ROI and technical implementation.

Key Keywords: Reference Architectures, Stakeholder Management, Solution Blueprints, Cost Optimization (FinOps).

What to look for: 

Experience presenting to CXOs, mentoring data engineering teams, and performing \"Vendor/Tool Evaluations\" for GenAI.

Regards,

DEVENDER REDDY

Balin Technologies

Email: devender@balintek.com

About the Company

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Balin Technologies LLC