2 days ago
Boston, MA, USA
Senior / Staff+
H1B Sponsor
Base Salary
$168k - $252k/yr
Responsibilities
- Own end-to-end delivery of multi-agent implementations for enterprise customers.
- Operate as a trusted technical partner to CX Directors and Ecommerce leaders.
- Combine hands-on technical execution with consultative delivery.
- Partner with customers to define success criteria and scope agent builds.
- Lead technical discovery conversations to map out support taxonomies.
- Identify risks and ensure alignment between customer expectations and AI capabilities.
- Design and configure specialized Agents from setup through launch.
- Write and maintain key agent-building artifacts.
- Set up and validate Custom Tools to connect AI to external systems.
- Test custom agents to ensure performance and compliance.
- Serve as the primary technical point of contact during agent build engagements.
- Map AI actions to standard routing and backend automations.
- Build reporting frameworks to track deflection rates and resolution quality.
- Troubleshoot complex technical issues during critical customer moments.
- Approach engagements with a builder’s mindset to standardize delivery.
- Contribute to internal best practices and delivery processes.
- Maintain strong operational hygiene with clear documentation and status tracking.
- Work cross-functionally with PMs, Engineering, and Design teams.
- Communicate complex AI concepts to both technical and non-technical audiences.
- Train and mentor the broader Solution Architect team.
Requirements
- 8-10+ years in technical, customer-facing roles such as solutions architecture or technical consulting.
- Proven experience delivering production-grade enterprise solutions.
- Track record of working with senior technical stakeholders in complex environments.
- Strong technical foundation in API & Integration Mastery.
- Experience configuring and integrating with complex enterprise platforms.
- Deep understanding of Agentic AI Fundamentals and LLMs.
- Fluency in customer support metrics and quality assurance frameworks.
- Ability to translate ambiguous customer needs into clear implementation plans.
- Clear communicator capable of explaining AI concepts to diverse audiences.
- Highly proactive and detail-oriented with a strong ownership mindset.
Categories
AI & MLData Science