Chatbot Developer – Conversational AI

TriTech Enterprise Systems

Job Location:

Hyattsville, MD - USA

Monthly Salary: Not Disclosed

Posted on: 12 days ago

Vacancies: 1 Vacancy

Job Summary

*** This is a three-month contract.

TriTech Enterprise Systems is seeking atalented and passionate Conversational AI Developerto play a pivotal role in managing current-day chatbot implementations and designing building and optimizing our next-generation conversational this role you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. The candidate will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.

The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem a strong understanding of enterprise integration layers and a passion for delivering seamless human-like yet transparent user experiences.

Key Responsibilities:

End-to-End Development:Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots virtual assistants and AI agents.
Architecture Migration:Maintain and optimize our currentAzure Bot Framework SDK v4stack while actively participating in the architectural migration to Microsoft Foundry and the Azure SDK for Agents 365.
Enterprise Integration:Design and implement robust API integrations usingMuleSoftas the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems includingPeopleSoftandSalesforce.
Omnichannel Dialog Management:Author and manage rich dynamic conversational interfaces usingMicrosoft Dynamics Adaptive Cards Knowledge Management systems and Automation Flows across web mobile and messaging channels.
Live Chat and Case Management:Build seamless escalation protocols including live agent handoffs toSalesforce Live Chatand automated ticket routing viaSalesforce Case ManagementAPIs.
NLU and LLM Orchestration:Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing fallback handling and contextual content generation.
Performance Optimization:Analyze conversation logs containment rates and intent accuracy metrics using data visualization tools to optimize conversational flows and minimize hallucinations continuously.
Cross-Functional Collaboration:Partner closely with Product Managers UX Designers and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.

Technical / Professional Qualifications Required:

3 yearsof dedicated experience in software development with a specialized focus on Conversational AI NLP/NLU or LLM agent development.
Microsoft Bot Stack Expertise:Deep hands-on proficiency withAzure Bot Framework SDK v4(including Waterfall Dialogs custom middleware and state management) alongside experience or strong theoretical knowledge ofCopilot Studio / Agents 365.
Core Backend Skills:Strong programming fundamentals with advanced proficiency inC#.NET andJavaScript combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
Enterprise Systems Integration:Direct experience working withMuleSoftlayers to pull/push data from legacy enterprise platforms likePeopleSoftand CRM systems likeSalesforce.

Preferred Qualifications:

Data and State Management:Experience configuring and queryingAzure Cosmos DBfor storing conversation state user context and telemetry logs.
Analytics Driven:Familiarity with utilizingPower BIor Azure Application Insights to analyze drop-off points intent confusion matrices and chatbot containment metrics.
Modern DevOps:Experience defining and maintaining CI/CD pipelines for conversational assets across Dev Test and Production environments.
Industry Context:Experience implementing conversational solutions within Higher Education or complex multi-stakeholder enterprise environments is a plus.
Soft Skills:Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.

Benefits & Culture:

Cutting-Edge Innovation:Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
Impact-Driven Work:Build tools that directly solve user pain points handling high-volume transactions with immediate real-world impact.
Professional Growth:Work in a fast-paced environment that actively supports upskilling in Generative AI LLM orchestration and next-generation Microsoft AI technologies.

TriTech is an equal opportunity employer.

Required Experience:

Manager

*** This is a three-month contract.TriTech Enterprise Systems is seeking atalented and passionate Conversational AI Developerto play a pivotal role in managing current-day chatbot implementations and designing building and optimizing our next-generation conversational this role you will bridge the ...

End-to-End Development:Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots virtual assistants and AI agents.
Architecture Migration:Maintain and optimize our currentAzure Bot Framework SDK v4stack while actively participating in the architectural migration to Microsoft Foundry and the Azure SDK for Agents 365.
Enterprise Integration:Design and implement robust API integrations usingMuleSoftas the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems includingPeopleSoftandSalesforce.
Omnichannel Dialog Management:Author and manage rich dynamic conversational interfaces usingMicrosoft Dynamics Adaptive Cards Knowledge Management systems and Automation Flows across web mobile and messaging channels.
Live Chat and Case Management:Build seamless escalation protocols including live agent handoffs toSalesforce Live Chatand automated ticket routing viaSalesforce Case ManagementAPIs.
NLU and LLM Orchestration:Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing fallback handling and contextual content generation.
Performance Optimization:Analyze conversation logs containment rates and intent accuracy metrics using data visualization tools to optimize conversational flows and minimize hallucinations continuously.
Cross-Functional Collaboration:Partner closely with Product Managers UX Designers and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.

Technical / Professional Qualifications Required:

3 yearsof dedicated experience in software development with a specialized focus on Conversational AI NLP/NLU or LLM agent development.
Microsoft Bot Stack Expertise:Deep hands-on proficiency withAzure Bot Framework SDK v4(including Waterfall Dialogs custom middleware and state management) alongside experience or strong theoretical knowledge ofCopilot Studio / Agents 365.
Core Backend Skills:Strong programming fundamentals with advanced proficiency inC#.NET andJavaScript combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
Enterprise Systems Integration:Direct experience working withMuleSoftlayers to pull/push data from legacy enterprise platforms likePeopleSoftand CRM systems likeSalesforce.

Preferred Qualifications:

Data and State Management:Experience configuring and queryingAzure Cosmos DBfor storing conversation state user context and telemetry logs.
Analytics Driven:Familiarity with utilizingPower BIor Azure Application Insights to analyze drop-off points intent confusion matrices and chatbot containment metrics.
Modern DevOps:Experience defining and maintaining CI/CD pipelines for conversational assets across Dev Test and Production environments.
Industry Context:Experience implementing conversational solutions within Higher Education or complex multi-stakeholder enterprise environments is a plus.
Soft Skills:Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.

Benefits & Culture:

Cutting-Edge Innovation:Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
Impact-Driven Work:Build tools that directly solve user pain points handling high-volume transactions with immediate real-world impact.
Professional Growth:Work in a fast-paced environment that actively supports upskilling in Generative AI LLM orchestration and next-generation Microsoft AI technologies.