AI/Synthetic Engineer

Responsibilities

• Design and build the first-party data grounding layer (embeddings / retrieval) that anchors synthetic audiences in real segment data.
• Build, tune, and maintain synthetic-audience models and the prompt/evaluation pipelines around them.
• Operate the validation harness: run synthetic output against real holdout data and surface accuracy bounds for the Verification & Validation Data Scientist to interpret.
• Direct the synthetic-capability partner; manage foundation-model infrastructure and keep the architecture portable across providers.
• Build guardrails that prevent confident-but-wrong output from reaching stakeholders unflagged.
• Protect data ownership and ensure member data never trains external shared models.

Requirements

• Education & Experience
• Education: Bachelor’s degree in computer science or related field or relevant equivalent experience in lieu of degree. Master’s degree preferred.
• Experience: Seven (7) or more years in ML/LLM engineering or applied data science, including production systems. Hands-on experience with LLM application development: grounding/RAG, prompt engineering, and evaluation frameworks. Exposure to synthetic data, agent-based simulation, or survey/behavioral data preferred. Experience directing an AI/ML vendor or platform partner preferred.

Knowledge, Skills & Abilities

• Strong data engineering: pipelines, embeddings, working with first-party datasets.
• Understanding of model evaluation and the failure modes of generative systems.
• Able to work to research-defined validation standards rather than ship unchecked.
• Able to effectively leverage artificial intelligence (AI) tools and technologies to streamline workflows, enhance productivity, and improve overall work quality.

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer.
• Frequent use of hands and fingers for typing, handling documents, and using office equipment.
• Occasional standing, walking, bending, and reaching.
• Ability to lift and carry up to 30 pounds as needed.

Work Environment

• Hybrid Schedule (3 Days In-Office/2 Days Remote)
• This position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote. Employees must be available during standard business hours, with core hours beginning between 8:00–9:00 a.m. and concluding between 5:00–6:00 p.m. local time.

Travel

• Occasional 0 – 10%

Pay

The hiring range for this position is $110,000 to $135,000 per year.

Schedule

This position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote. Employees must be available during standard business hours, with core hours beginning between 8:00–9:00 a.m. and concluding between 5:00–6:00 p.m. local time.