AI Solutions Engineer

TalentAmp; Dallas (TX); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A technology solutions company is seeking an experienced AI Solutions Engineer to design and build AI-powered applications. The role requires a strong software engineering background with an AI/ML focus, including significant experience in Python and SQL. Responsibilities include designing AI solutions, collaborating with stakeholders, and optimizing model performance. Ideal candidates should have a passion for emerging AI trends, and experience in agile environments. This position is hybrid based in Dallas, TX.

Qualifications

• 5+ years of experience in software engineering with AI/ML focus.
• Hands-on experience building end-to-end AI/ML solutions.
• Strong communication skills with the ability to work with non-technical stakeholders.

Responsibilities

• Design and develop AI-powered solutions using various tools.
• Translate business requirements into technical solutions.
• Deploy, monitor, and optimize AI solutions.

Skills

AI/ML focus

Python

SQL

Azure Cognitive Services

LLMs

Agile environments

Tools

Azure

AWS

GCP

Databricks

LangGraph

Job description

Location: Dallas, TX (Hybrid – 3 days onsite)

About the Role

We are looking for an experienced AI Solutions Engineer to design and build innovative AI‑powered applications and workflows. This role involves working closely with business stakeholders to identify opportunities for AI and automation to improve processes and drive impactful outcomes.

Key Responsibilities

• Design and develop AI‑powered solutions using tools such as Azure Cognitive Services, LLMs, Databricks, and LangGraph
• Translate business requirements into technical solutions and collaborate with cross‑functional teams
• Evaluate and select appropriate AI/ML models and frameworks
• Deploy, monitor, and optimize AI solutions for scalability, performance, and security
• Partner with product managers and domain experts to enhance AI capabilities
• Stay current with emerging AI/ML trends and technologies

Qualifications

• 5+ years of experience in software engineering with AI/ML focus
• Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP)
• Hands‑on experience building end‑to‑end AI/ML solutions
• Solid understanding of AI/ML concepts (NLP, neural networks, computer vision, etc.)
• Experience with LLMs and tools like LangGraph
• Strong communication skills with the ability to work with non‑technical stakeholders
• Experience working in agile environments

Preferred

• Experience with RPA and workflow automation
• Exposure to enterprise systems (e.g., Salesforce, SharePoint, SAP)
• Industry experience or interest in oil & gas
• Consulting or corporate experience navigating cross‑functional teams