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Ignite innovation from within and deliver leading-edge solutions.
The Role
Develop and optimize enterprise chatbots, virtual assistants, and AI agents across their full lifecycle. Maintain Azure Bot Framework solutions while supporting migration to Microsoft Foundry and Agents 365. Build MuleSoft integrations with PeopleSoft and Salesforce, create omnichannel conversational experiences, implement live-agent escalation and case routing, and combine classical NLU with Azure OpenAI. Analyze conversation metrics to improve intent accuracy, containment, and reliability while collaborating with product, UX, and business stakeholders.
Summary Generated by Built In
Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services.
Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You 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
Technical & Professional Qualifications
Required Experience
Preferred Qualifications
Benefits & Culture
Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You 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 current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
- Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
- Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft 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 to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
- 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 continuously optimize conversational flows and minimize hallucinations.
- 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 Experience
- 3+ years of 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 with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
- Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
- Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
- Must Live In The US (Remote )
Preferred Qualifications
- Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
- Analytics Driven: Familiarity utilizing Power BI or 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.
Skills Required
- 3+ years of software development experience focused on Conversational AI, NLP/NLU, or LLM agent development
- Hands-on proficiency with Azure Bot Framework SDK v4, including Waterfall Dialogs, custom middleware, and state management
- Experience or strong theoretical knowledge of Copilot Studio or Agents 365
- Advanced proficiency in C#, .NET, and JavaScript
- Frontend capabilities with HTML and CSS for web-chat styling and Adaptive Card rendering
- Direct experience with MuleSoft integrations involving PeopleSoft and Salesforce
- Must live in the United States
- Experience configuring and querying Azure Cosmos DB
- Experience using Power BI or Azure Application Insights for chatbot analytics
- Experience defining and maintaining CI/CD pipelines
- Conversational solution experience in higher education or complex enterprise environments
- Exceptional communication skills for explaining technical AI constraints to nontechnical stakeholders
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The Company
What We Do
Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) whose vision is to ignite innovation from within and deliver leading-edge solutions. At Business Technology Integrators (BTI), human capital is our most important asset. We are committed to the provision of a progressive environment where innovative, modernized, solutions are created by the best and brightest in our industry. Our team focuses on customer engagement by ensuring we deliver quality-assured results.
