Senior AI Engineer

Senior AI Engineer

Location: Hybrid - Dallas/Fort Worth, TX
Compensation: Targeting ~$170-180K base depending on experience
Employment Type: Contract-to-Hire preferred; may consider direct hire
Please Note: No C2C or third-party agency referrals, no sponsorship at this time. Must be able to work hybrid in the DFW area

SNI Technology has partnered with a client in the DFW area seeking a Senior AI Engineer to join a newly created team focused on building next-generation AI agent solutions. This is a highly hands-on individual contributor role centered around the development, implementation, and optimization of practical AI-driven applications and autonomous agent frameworks.

The ideal candidate will have strong experience with Databricks, Generative AI technologies, and real-world AI agent development. This role is best suited for someone who enjoys building and deploying scalable AI solutions rather than focusing strictly on architecture, strategy, or leadership responsibilities.

Responsibilities

• Design, build, and deploy AI agents and agentic workflows for enterprise applications
• Develop scalable GenAI solutions utilizing modern LLM frameworks and orchestration tools
• Work extensively within Databricks to support AI/ML model development, data processing, and deployment
• Collaborate with cross-functional teams to identify automation opportunities and AI-driven business solutions
• Integrate AI agents with enterprise systems, APIs, and data platforms
• Optimize AI models and workflows for performance, scalability, and reliability
• Stay current with emerging AI technologies, frameworks, and best practices
• Participate in proof-of-concepts, experimentation, and production implementation of AI solutions

Required Qualifications

• Strong hands-on experience with Databricks
• Strong experience with Generative AI technologies and LLM-based applications
• Experience building and implementing AI agents or autonomous AI workflows in production environments
• Proficiency in Python and modern AI/ML development frameworks
• Experience integrating AI solutions with APIs, cloud platforms, and enterprise systems
• Strong understanding of machine learning pipelines, vector databases, embeddings, and prompt engineering
• Ability to operate independently in a highly technical individual contributor role

Preferred Qualifications

• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks
• Experience with Azure AI, OpenAI, or cloud-based AI services
• Familiarity with RAG architectures and vector search technologies
• Experience deploying scalable AI applications in enterprise environments

#SNIT