bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesTEGNA Inc.AI Engineer

AI Engineer

TEGNA Inc. · Tysons, Virginia, United States · On Site · Active · Greenhouse

Job facts

FieldValue
CompanyTEGNA Inc.
TitleAI Engineer
Normalized title-
Department / teamTechnology & Engineering
LocationTysons, VA, United States
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2025-09-12 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from TEGNA Inc..Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Tysons.Open
Department jobsActive postings in Technology & Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTEGNA Inc.
Source29b67cf7-3250-4893-b6dc-fd9e24cc0168
ATS providerGreenhouse

Description

About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. We are seeking an AI Engineer to design, develop, and deploy scalable LLM-powered solutions leveraging AWS cloud services, Snowflake, and modern GenAI frameworks. This role focuses on building production-grade AI systems, optimizing LLM inference, and integrating enterprise data platforms with cutting-edge AI technologies. The ideal candidate combines strong cloud engineering expertise with hands-on experience in prompt engineering, foundation models, agentic AI systems, and data pipelines within Snowflake and AWS ecosystems Key Responsibilities AI & Generative AI Development 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. EEO statement : TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. 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 [email protected] 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 SMS Messaging Privacy Policy

Full job record

Job IDfc9db2d5d6811307f4871f3d433ee2bc880d5698
Org ID33168126-f93a-4bad-abc0-088e5c0052b2
Source ID29b67cf7-3250-4893-b6dc-fd9e24cc0168
Board ID29b67cf7-3250-4893-b6dc-fd9e24cc0168
Providergreenhouse
Provider Job Key4870922007
TitleAI Engineer
Normalized Title
Statusactive
Activeyes
Location TextTysons, Virginia, United States
DepartmentTechnology & Engineering
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionVA
CityTysons
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://boards.greenhouse.io/tegnainc/jobs/4870922007?gh_jid=4870922007
Apply URLhttps://boards.greenhouse.io/tegnainc/jobs/4870922007?gh_jid=4870922007
First Seen At2026-05-29 22:57:22Z
Last Seen At2026-06-06 19:43:22Z
Last Checked At2026-06-06 19:43:22Z
Last Changed At2026-05-29 22:57:22Z
Inactive At
Source Posted At2025-09-12 16:33:58Z
Source Updated At2026-05-25 23:20:27Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=tegnainc/date=2026-06-06/2026-06-06T19-43-21-513Z-5b4e9fe7533fdedab5dc7663ac0c0b73c5f63ae700fe6a877b59b28c926e86a9.json
Event Fields
{
  "content_hash": "ad5df64895f268fca51a022f0c4633b96c4dd8173f0f68764ef7c30da3263d2e",
  "source_hash": "f21a41c0f0794d513411e60c56f9989491adb55643755a166049dc0e8f51ac16",
  "last_changed_at": "2026-05-29T22:57:22.348Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Tysons, Virginia, United States",
    "city": "Tysons",
    "region": "VA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:43:22.028Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Tysons, Virginia, United States",
      "city": "Tysons",
      "region": "VA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "AI Engineer",
  "offices": [
    {
      "id": 4034733007,
      "name": "Headquarters - Tysons, Virginia",
      "location": "Tysons, Virginia, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Tysons, Virginia, United States"
  },
  "metadata": [
    {
      "id": 4955467007,
      "name": "Employee Type",
      "value": "Full-time = 80-100hrs/bi-weekly",
      "value_type": "single_select"
    },
    {
      "id": 5685575007,
      "name": "Work Location Type",
      "value": "On-site",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-05-25T19:20:27-04:00",
  "departments": [
    {
      "id": 4039290007,
      "name": "Technology & Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "TEGNA Inc.",
  "requisition_id": 4496901007,
  "first_published": "2025-09-12T12:33:58-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/fc9db2d5d6811307f4871f3d433ee2bc880d5698?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/33168126-f93a-4bad-abc0-088e5c0052b2JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/29b67cf7-3250-4893-b6dc-fd9e24cc0168JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/fc9db2d5d6811307f4871f3d433ee2bc880d5698/eventsJSON