AI Engineer; AJC

Company

Cox Enterprises

Engineering / Product Development

Lead Data Engineer

Manager - Non People Leader

Hybrid - Ability to work remotely part of the week

Yes, 5% of the time

Day

Compensation includes a base salary of $ - $. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

At The Atlanta Journal-Constitution (AJC), our mission is to be the most essential and engaging source of news for the people of Atlanta, Georgia and the South. As we transition from a historic daily newspaper to a dynamic modern media company, we are seeking a talented AI Engineer to join our team. The AJC believes that when you cover the South, you uncover the nation.

It's a belief that's produced award-winning journalism, elevated our community, and captured the substance and soul of our hometown.

If you're ready to make headlines with your talent and drive, we want you on our team. Apply now and be a part of the next chapter in the AJC's transformation. The Atlanta Journal-Constitution (AJC) is evolving from a legacy newspaper into a modern digital media company, committed to delivering credible, compelling journalism that informs and engages Atlantans and the broader South.

We’re looking for an AI Engineer who can design, build, and ship end-to-end AI solutions—especially LLM-powered personalization and intelligent search/assistant experiences that operate reliably in real time. You’ll work across the stack (data, modeling, services, evaluation, and guardrails), collaborate deeply with product and engineering, and help us turn unstructured and structured information into practical, safe, and transparent capabilities for readers and internal teams.

• Build LLM applications end-to-end: design, prototype, and product ionize RAG pipelines, vector search, and agentic workflows that power personalization, content discovery, and on-site assistance.

• Own retrieval & data foundations: create ingestion and chunking pipelines; manage embeddings and vector indexes (e.g., pgvector/Snowflake vectors/Pinecone); implement metadata schemas, recency signals, and hybrid retrieval (BM25 + ANN).

• Engineer reliability & safety: implement guardrails (schema-constrained generation, tool access controls, moderation, grounding checks, citation verification) and fallbacks; design red-team tests and safety playbooks; and prioritize governance & security of proprietary data.

• Measure what matters: build offline/online evaluation harnesses (precision/recall, answer quality, hallucination rate, latency, cost); define acceptance criteria and run A/B tests with product partners.

• Ship real-time experiences: stand up low-latency inference services and event-driven pipelines (e.g., Lambda/FastAPI/ECS; queues/streams) with caching layers (Redis/Valkey) and robust observability (traces, logs, drift monitors).

• Support personalization at scale: collaborate on user modeling (content/user embeddings, topic/intent signals), feature stores, and policy/business-rule layering for rankers and bandits.

• Build internal AI tools: deliver secure, enterprise search and analytics copilots that unify docs, data catalogs, tickets, dashboards, and code—unlocking self-service insights across the newsroom and business teams.

• Partner cross-functionally: work with principal architects, software engineers, data scientists, and product managers to scope MVPs, de-risk unknowns, and iterate quickly.

• Contribute to DS/ML delivery: help package, deploy, and operationalize real-time ML models with clear APIs, tests, and CI/CD.

• Champion transparency & governance: document designs and decisions; communicate trade-offs to non-technical stakeholders; uphold privacy, security, and compliance for PII and model usage.

• Applicants must currently be authorized to work in the United States for any employer without current or future…