Design, develop, and deploy LLM-powered applications and agentic AI systems in production environments. - Implement advanced prompt engineering strategies including:
Prompt chaining and multi-turn orchestration
Few-shot learning and in-context learning
Chain-of-Thought (CoT) and Tree-of-Thought (ToT) prompting
Function calling and tool use optimization
Structured output generation (JSON, XML schemas)
Build and optimize Retrieval-Augmented Generation (RAG) systems integrating Snowflake data with LLMs. - Evaluate and fine-tune foundation models via AWS Bedrock or other managed AI services. - Develop guardrails for AI systems including hallucination mitigation, grounding, and safety controls. - Implement LLMOps best practices for model lifecycle management:
Model versioning, deployment, and rollback strategies
Prompt versioning and experimentation frameworks
Monitor and observe LLM application performance using observability tools. - Evaluation frameworks for LLM outputs
Cloud & Platform Engineering (AWS)
Architect scalable AI solutions using AWS services such as:
Bedrock - Sagemaker – Access and fine-tune foundation models
Lambda – Serverless LLM application deployment
EC2 – GPU-accelerated inference and batch processing
Step Functions – Orchestrate complex LLM workflows and agentic pipelines
CloudWatch – Monitoring, logging, and alerting for AI systems
AI Application Development
Build APIs and backend services to operationalize AI solutions. - Integrate LLM/AI systems into internal applications, sales tools, or analytics platforms. - Implement streaming and real-time inference for low-latency AI applications. - Collaborate with stakeholders to translate use cases into production AI systems. Required Qualifications
5+ years of experience in AI/ML, Software or Data engineering. - Proficiency in Python with solid understanding of ML fundamentals
Strong hands-on experience with AWS, APIs and microservices architecture
Experience integrating AI solutions with data systems like Snowflake. - Practical experience with prompt engineering
Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar
Experience with agentic frameworks (AutoGen, CrewAI, or equivalent). Preferred Qualifications
Experience building RAG pipelines in enterprise environments. - Knowledge of MLOps best practices. - Experience with vector databases and embeddings. - Familiarity with model evaluation frameworks (e.g., LLM eval metrics). - Experience implementing AI governance and responsible AI practices. - Background in sales, media, marketing analytics, or enterprise data platforms (a plus). #LI-MS1
Benefits:
TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance. Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA’s 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one. Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor’s appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health. TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year. * Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com
**Recruiting Fraud Alert:**To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains. Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers. Privacy Notice for California Residents
