Agentic AI & Enterprise Platforms OPT will not work

Technical Expert – Agentic AI & Enterprise Platforms

Dallas TX

W2 ROLE

Key Responsibilities

Architect and develop enterprise-grade Agentic AI, Generative AI, and Machine Learning solutions.

Design and implement intelligent workflows, multi-agent systems, and AI orchestration frameworks.

Build and optimize custom machine learning models for classification, prediction, segmentation, recommendation, and analytics use cases.

Lead development of RAG (Retrieval-Augmented Generation), semantic search, and knowledge retrieval solutions.

Design scalable data pipelines leveraging Snowflake, Databricks, and cloud-native technologies.

Develop and deploy AI services, APIs, and microservices for production environments.

Define architecture standards, coding best practices, governance, security, and performance guidelines.

Mentor developers, conduct design reviews, and drive technical excellence across teams.

Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

10+ years of experience in software engineering, solution architecture, or platform engineering.

5+ years of experience building AI/ML solutions in enterprise environments.

Strong hands-on programming experience in Python.

Proven experience leading architecture and development of large-scale distributed systems.

Technical Skills

AI / Machine Learning

Generative AI and Large Language Models (LLMs)

Agentic AI and Multi-Agent Systems

RAG Architecture and Semantic Search

Prompt Engineering

Fine-Tuning and Model Evaluation

Custom ML Model Development

Machine Learning Techniques

Classification Models

Clustering Models

Recommendation Systems

Predictive Analytics

Feature Engineering

MLOps and Model Lifecycle Management

Frameworks & Libraries

LangGraph

AutoGen

LangChain

CrewAI (preferred)

MCP (Model Context Protocol)

OpenAI APIs

Anthropic Claude APIs

Hugging Face Ecosystem

Scikit-Learn

XGBoost

PyTorch

TensorFlow (preferred)

Data & Analytics Platforms

Snowflake

Databricks

SQL

Data Engineering

Vector Databases

Feature Stores

Data Warehousing Concepts

Backend & APIs

Python

Flask

REST APIs

FastAPI (good to have)

Microservices Architecture

Event-Driven Architecture

Cloud & DevOps

Microsoft Azure

Azure Kubernetes Service (AKS)

Docker

Kubernetes

CI/CD Pipelines

Azure DevOps

GitHub

Front-End (Good to Have)

React

Angular

Preferred Experience

Building enterprise AI assistants and conversational platforms.

Developing AI-powered analytics and decision-support systems.

Designing agent orchestration frameworks and workflow automation platforms.

Working with telecom, marketing analytics, customer intelligence, or large-scale enterprise datasets.

Experience handling datasets with millions of records and deploying AI solutions at scale.

Exposure to AI governance, responsible AI, and model monitoring frameworks.