AI / ML Ops Architect

Ztek Consulting INC; United States; On-site; USD 130,000 - 210,000; Full time

Job summary

Ztek Consulting INC is seeking an experienced AI/ML Architect to design and implement agent-based AI workflows and ML pipelines. You will collaborate with IT and business teams to translate requirements into scalable architectures and deployment strategies.

The role involves leading ML model development, orchestration, and integration with data platforms, ensuring robust performance and governance across projects. Strong communication and Agile collaboration are essential.

Qualifications

• Experience with AI/ML architecture and agent-based workflows.
• Strong data preprocessing and feature engineering skills.
• Experience with ML Ops and deployment.

Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities.
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions.
• Develop and optimize ML models, pipelines, and orchestration logic.
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems.
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions.
• Drive technical strategy, tooling, and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e., internal and external).

Skills

Python

Java

LangChain/LangGraph

OpenAI Agentic SDK

TensorFlow

PyTorch

AutoML

RAG

NLP

GCP

Vertex AI

Kubeflow

Data preprocessing

Feature engineering

GitHub

Data Science

BigQuery

Oracle

DB2

Postgres

Cassandra

BigData

Agile

GEMINI Tools

Tools

Gemini Tools

Custom MCP tools

Job description

Job Description

Must Have Technical/Functional Skills

Technical Skills -

• Programming Languages: Python, Java
• Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Tool Integration: Gemini Tools, Custom MCP tools
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models, testing/validation, and deployment.
• Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills -

• Experience working with customers in Retail Domain
• Knowledge in Retail Pricing functionalities is a plus

Roles & Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e., internal and external).