Principal AI Engineer – Enterprise LLM Architect

Synechron; Dallas (TX); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Paid annual leave

Maternity & paternity leave

Commuter benefits

Udemy for Business access

Job summary

Synechron in Dallas, TX is seeking a Principal AI Engineer to lead design, development and deployment of enterprise-grade AI and LLM-powered solutions in regulated environments. You will architect secure, scalable AI systems aligned with governance standards and compliance requirements.

The role requires hands-on experience with AI pipelines, retrieval-augmented generation, and integration with platforms like AWS Bedrock and Azure OpenAI, as well as strong backend skills in Python, Node.js, or

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
• Extensive experience designing, developing, and deploying production-grade AI/ML or LLM-based systems in enterprise environments.
• Strong programming skills in Python; experience with Node.js and/or Java is beneficial.

Responsibilities

• Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies.
• Design and deploy LLM-based applications using platforms such as Amazon Bedrock, Azure OpenAI, and direct model/API integrations.
• Build scalable orchestration layers for prompt execution, model routing, completion handling, response optimization, and service resiliency.
• Establish observability and monitoring frameworks for AI systems, including pipeline health, model performance, latency, usage, quality, and cost metrics.

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical discipline

Job description

Synechron in Dallas, TX is seeking a Principal AI Engineer to lead design, development and deployment of enterprise-grade AI and LLM-powered solutions in regulated environments. You will architect secure, scalable AI systems aligned with governance standards and compliance requirements.

The role requires hands-on experience with AI pipelines, retrieval-augmented generation, and integration with platforms like AWS Bedrock and Azure OpenAI, as well as strong backend skills in Python, Node.js, or