Lead AI Agent Architect

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

50% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Lead AI Agent Architect New York Office About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale. About the Role: As a Lead AI Agent Architect at Parloa, you will play a key role in transforming customer service through AI-powered agents. In this highly customer-facing role, you will lead the design and implementation of AI Agent solutions, helping enterprise customers and partners deliver more efficient, scalable, and intelligent customer experiences. You will work at the intersection of LLMs, conversational design, and enterprise systems , translating complex requirements into robust, production-ready AI workflows. From early solution design to deployment and optimization, you will ensure agents perform reliably, integrate seamlessly, and deliver measurable impact. This is your opportunity to design and deploy cutting-edge AI Agents at scale-shaping how enterprise companies leverage LLMs to transform customer experience and operational efficiency. Areas of Ownership: - Lead the design and implementation of AI agent solutions, translating customer requirements into scalable conversational workflows and architectures - Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows - Ensure high-quality, reliable performance

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