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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying AI/ML solutions, with a strong focus on secure and scalable production code. Proven ability to lead technical discussions, mentor teams, and synthesize deployment learnings into effective solution patterns.
Highest-signal resume keywords
AI/ML Solution ArchitectureProduction-Grade Code DevelopmentSystems Integration ExpertiseCross-System Dependency ManagementTechnical Consultation and Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavascriptPythonTypescriptProduction Code SecurityMulti-Agent Systems DesignPrompt EngineeringModel OptimizationData ArchitectureAPI IntegrationMessage Queues
Soft Skills
Technical LeadershipCredibility BuildingConsensus DrivingMentoring
Tools & Technologies
TalkdeskRetrieval-Augmented Generation (RAG)Vector DatabasesWebhooks
Industry Keywords
Contact Center as a Service (CCaaS)Unified Communications as a Service (UCaaS)Customer Experience (CX)Health Care SystemsERP Projects
Tech Stack
Tools & technologiesERPJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Act as technical lead for complex deployments
- Design and implement architectural blueprints for AI agent solutions
- Manage cross-system dependencies and ensure enterprise security and scalability standards
- Write production-grade code and use Talkdesk and third-party APIs/SDKs to build, test, and deploy AI agents
- Drive execution from prototype through production deployment
- Provide technical consultation and address deep technical inquiries
- Mitigate technical risk and build trust with customer Engineering Directors and technical architects
- Synthesize deployment learnings into reusable solution patterns and tooling
- Provide feedback to Product and Engineering teams to inform product direction
- Mentor junior FDEs and technical specialists on AI architecture, production quality, and client-facing delivery
Requirements
What you’ll need- Minimum of 5-7 years of progressive experience in software or solution engineering, with at least 1+ years focused on architecting and deploying AI/ML/Agentic solutions
- Project implementation consulting experience in large scale IT integration projects, ERP projects or AI implementations, including client-side project lead experience
- Proven experience designing and implementing complex multi-agent systems with planning, memory, and tool-use frameworks
- Proficiency in Javascript, Python, Typescript and other relevant languages
- Experience writing secure, scalable, and tested production code
- Deep expertise in systems integration, including APIs, webhooks, and message queues
- Data architecture expertise for secure, compliant, and performant data flow
- Strong proficiency in prompt engineering, model optimization, and agent collaboration systems
- Ability to build credibility and consensus with customer executives, lead technical discussions, and drive alignment across internal and external teams
- Experience with Retrieval-Augmented Generation (RAG) systems and vector databases is preferred
- Experience with health care systems such as Epic or Aetna or retail services systems is a plus
- Prior Contact Center (CCaaS), Unified Communications (UCaaS), or Customer Experience (CX) industry experience is preferred
Benefits
Comp & perks- Equity long-term incentives may be offered based on level and role
- Short-term incentives of bonus or commission may be offered based on level and role
- Medical, Dental, Vision, Life and Disability Insurance
- Employee Assistance Program (EAP)
- 401(k) plan
- Uncapped paid time off program for exempt employees
- Accrual-based paid time off program for non-exempt employees
- 14 paid holidays each year
- Uncapped paid time off for exempt employees or accrual-based sick leave for non-exempt employees
