Role : Agentic AI
Location: Dallas, TX
Technical Expert Agentic AI & Enterprise Platforms
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.
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