Agentic AI Engineer - Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.

Job Title: Agentic AI Engineer 
Location: Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.
Contact: 12+ Months
Looking for W2 candidates. No C2C 

Job Summary
We are seeking an experienced Agentic AI Engineer Lead to drive the design, development, and implementation of enterprise-grade AI agent solutions using Azure AI Foundry and AWS Bedrock. The ideal candidate will lead AI automation initiatives, define product roadmaps, collaborate with cross-functional stakeholders, and build scalable Agentic AI applications that enhance business processes.

Key Responsibilities

·         Lead the design, development, and deployment of enterprise Agentic AI solutions using Azure AI Foundry and AWS Bedrock.

·         Define and maintain the AI product roadmap, backlog, and feature prioritization in collaboration with business and technical stakeholders.

·         Design scalable AI agent architectures and automation workflows for enterprise use cases.

·         Develop intelligent AI applications using Python, SQL, and data processing libraries such as Pandas.

·         Build, integrate, and optimize AI agents leveraging Large Language Models (LLMs) and cloud AI services.

·         Collaborate with cross-functional teams throughout the software development lifecycle using Agile methodologies.

·         Participate in sprint planning, backlog grooming, code reviews, and technical design discussions.

·         Ensure best practices in software engineering, testing, security, and deployment.

·         Troubleshoot, optimize, and enhance AI solutions for scalability, reliability, and performance.

·         Provide technical leadership, mentoring, and guidance to development teams.

·         Communicate effectively with business stakeholders to translate requirements into technical solutions.

Required Qualifications

·         Strong experience developing AI agents using:

·         Azure AI Foundry

·         AWS Bedrock

·         Experience designing AI automation workflows and enterprise AI solutions.

·         Python

·         SQL

·         Pandas

·         Experience with cloud-native application development on Azure and/or AWS.

·         Understanding of AI agent orchestration, Large Language Models (LLMs), and AI automation concepts.

·         Experience working in Agile/Scrum environments.

·         Familiarity with Agile testing processes and software quality best practices.

·         Excellent problem-solving, analytical, and debugging skills.

·         Strong communication and stakeholder management skills.

Preferred Qualifications

·         Experience with multi-agent architecture and AI orchestration frameworks.

·         Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.

·         Experience integrating AI solutions with enterprise applications and APIs.

·         Familiarity with CI/CD pipelines and DevOps practices.

·         Experience mentoring or leading software engineering teams.

·         Azure or AWS cloud certifications are a plus.

Technical Skills

·         AI & Cloud

·         Agentic AI

·         Azure AI Foundry

·         AWS Bedrock

·         Large Language Models (LLMs)

·         AI Automation

·         Programming

·         Python

·         SQL

·         Pandas

·         Cloud Platforms

·         Microsoft Azure

·         Amazon Web Services (AWS)

·         Development Tools

·         Git

·         Jira

Best Regards:

Tina
Phone:
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