Note: The job is a remote job and is open to candidates in USA. The company is a media and technology organization operating a large out-of-home advertising network across the United States. The Lead AI Engineer will own and scale the internal AI platform, evolve external agent infrastructure, and establish shared capabilities for routing, evaluation, guardrails, observability, security, and cost control. This hands-on technical leadership role will also architect systems, write production code, guide AWS Bedrock adoption, and mentor engineers.
Responsibilities
- Own and scale the internal AI platform; expand model and agent capabilities; integrate enterprise data; drive full production adoption
- Evolve the MCP server powering external agent-native workflows
- Design shared agent infrastructure: routing, evaluation, guardrails, observability, secrets, cost controls
- Lead adoption of AWS Bedrock and AgentCore; evaluate and operationalize new capabilities
- Make architectural decisions across the AI ecosystem, including integrations with Salesforce and Snowflake
- Mentor engineers within the AI and Automation pod
Skills
- 7+ years building production backend or full-stack systems
- 2+ years building production LLM-backed systems (not prototypes)
- Strong TypeScript and Node and/or Python skills
- Experience with agent frameworks or protocols (MCP, A2A, etc.)
- Strong API design instincts for both human and agent consumers
- Experience owning a platform other engineers build on
- Ability to translate ambiguous business needs into working systems
- Excellent communication and cross-functional collaboration
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa
- Deep AWS experience; Bedrock strongly preferred
Benefits
- Medical, dental, and vision benefits
- HSA and FSA options
- Family and pet benefits
- 401(k) with employer match
- Paid time off
- Educational assistance
Company Overview