Senior AI Architect

4 months ago

Base Salary

$120k - $140k/yr

Responsibilities

Define the overall architecture, integration patterns, governance, and scaling approach for AI agents across multiple data domains and use cases.
Design and own the central agent integration layer that mediates agent access to governed data and consistently enforces controls.
Evaluate LLM frameworks and orchestration approaches, including Databricks Mosaic AI, against use-case requirements.
Establish patterns for structured-data retrieval, semantic context, access controls, trustworthy answers, and business-context handling.
Define agent guardrails covering read-only access, role-based permissions, PII handling, output validation, and hallucination mitigation.
Design agent evaluation frameworks using synthetic queries, accuracy validation, test variations, domain coverage, and answer-consistency criteria.
Define user-facing agent experience patterns, including interaction modes, output formats, caveats, supporting data, and access methods.
Partner with data and analytics teams to structure schemas, metadata, and metric definitions for accurate agent responses.
Ensure the architecture supports multi-tenant data boundaries as the platform expands to additional broadcast partners.
Guide AI developers and set standards so individual agent implementations align with the central architecture.

Deep experience designing and deploying production AI agent systems, including LLM selection, orchestration, and evaluation.
Familiarity with the Databricks platform and related products.
Strong understanding of agent interactions with structured data, including retrieval patterns, semantic layers, and metadata-driven context.
Familiarity with major LLM platforms and orchestration frameworks, including the ability to evaluate vendor tradeoffs objectively.
Experience designing safety and governance patterns for AI systems.
Comfort working across data engineering, analytics, and business stakeholder teams.
Experience in media, advertising, or other data-intensive industries with complex business metrics and multi-system data environments is helpful.

Comprehensive benefits package including medical, life, and short-term disability insurance.
401(k) retirement plan.
Paid holidays, paid vacation, and paid sick time.
Employee assistance program, bereavement leave, jury duty service time off, military leave, and medical, maternity, and family leave.
Full-time position located in Nexstar’s New York offices.

Databricks

51-200 employees