Generative AI Engineer

## Generative AI Engineer
** Dallas Fort Worth,TXNA
*
* Employment Type:

Perm Job Number: 25577

Remote Options:
Remote##

Job Description
** Generative AI Engineer*
* *
* Location:

** DFW preferred or open to candidates working remotely in EST/CST timezones   
** Salary Range:**$120k to $165k  
** About the Role
** We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives.  --
- ** What You’ll Do
*** Own the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimization
* Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions
* Establish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle management
* Serve as a technical leader for GenAI, guiding architecture decisions and best practices
* Integrate AI systems with enterprise data, internal APIs, and cloud-native services
* Evaluate and select models, implement routing strategies, and optimize for latency, cost, and performance
* Continuously assess emerging AI tools and improve existing systems
* Own system performance across reliability, scalability, throughput, and cost efficiency
* Build and maintain observability frameworks (monitoring, tracing, logging, alerting)
* Design and manage CI/CD pipelines, including versioning and release processes
* Lead incident response and root cause analysis, implementing long-term fixes
* Develop evaluation pipelines for LLM outputs, including regression testing and failure analysis
* Implement safeguards such as human-in-the-loop workflows, schema validation, and output controls
* Ensure systems are secure against prompt injection, data leakage, and unauthorized access
* Collaborate with leadership and cross-functional teams to define and execute AI initiatives
* Provide hands-on technical guidance, mentoring, and code reviews
* Promote iterative delivery with frequent releases and continuous feedback loops--
- ** Required Qualifications
*** Proven experience building and deploying production-grade LLM or generative AI systems
* Strong expertise in prompt design, orchestration, and model tradeoffs
* Experience developing evaluation frameworks for AI outputs and validating quality
* Solid background in distributed systems and production software engineering
* Experience with CI/CD pipelines, release management, and operational ownership
* Demonstrated ability to define technical standards and influence architecture decisions
* Experience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)
* Experience integrating AI solutions with enterprise data and security requirements
* Bachelor’s degree in a technical field or equivalent practical experience--
- ** Preferred Qualifications
*** Experience with advanced RAG pipelines and agent-based AI systems in production
* Familiarity with cloud AI services and modern infrastructure tooling
* Experience with Python-based AI frameworks and data pipelines
* Experience with containerization and deploying AI workloads
* Knowledge of responsible AI practices and governance
* Domain experience in areas such as product data, ERP, ecommerce, or analytics platforms