Agentic AI Developer-IVR Modernization
About The Position
Leidos is seeking an experienced Agentic AI Developer to support the Enterprise Health Sector in modernizing customer service and Interactive Voice Response (IVR) capabilities through artificial intelligence. The role designs, develops, integrates, and deploys AI-driven conversational solutions that improve customer interactions, automate complex workflows, and enhance user experience. It uses Agentic AI, large language models (LLMs), natural language processing (NLP), and cloud technologies to deliver scalable, secure, and reliable voice-enabled applications. The developer creates intelligent conversational agents and integrates them with enterprise applications and existing IVR platforms. The role also contributes to replacing traditional menu-driven IVR experiences with more natural, efficient, and accessible customer communications. Solutions must align with applicable federal security, accessibility, and compliance requirements.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline, and 12+ years of relevant experience; additional experience may be considered in lieu of a degree, subject to contract requirements.
- Hands-on software development experience using Python, JavaScript, Java, or similar programming languages.
- Experience developing or integrating AI/ML solutions, conversational AI applications, or LLM-powered systems.
- Experience with REST APIs, microservices, and enterprise application integration.
- Understanding of Agentic AI concepts, including agent orchestration, tool calling, context management, and automated workflows.
- Experience with cloud technologies such as AWS, Microsoft Azure, or Google Cloud.
- Familiarity with NLP, speech recognition, and conversational AI technologies.
- Experience working in Agile software development environments.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to meet customer-specific suitability and background investigation requirements.
Nice To Haves
- Hands-on experience developing Agentic AI applications with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
- Experience developing and integrating IVR or contact center applications using Amazon Connect, Amazon Lex, Genesys Cloud, Twilio, or comparable platforms.
- Experience with AWS Bedrock, Azure AI, OpenAI APIs, or other enterprise LLM platforms.
- Experience developing voice-enabled AI agents and integrating speech-to-text and text-to-speech technologies.
- Experience implementing RAG, vector databases, and semantic search capabilities.
- Experience with AWS Lambda, API Gateway, Docker, Kubernetes, or serverless architectures.
- Experience with prompt engineering, LLM evaluation, AI guardrails, and responsible AI practices.
- Experience integrating AI applications with legacy enterprise systems.
- Knowledge of federal cybersecurity requirements, including NIST 800-53, FISMA, and secure software development practices.
- Experience supporting federal government customers, particularly civilian agencies.
- Familiarity with Section 508 accessibility requirements.
Responsibilities
- Design, develop, and implement Agentic AI solutions for enterprise IVR and contact center modernization.
- Develop conversational AI agents that understand user intent, maintain context, and execute multistep workflows.
- Integrate LLMs and NLP technologies into voice-enabled applications.
- Build and maintain APIs, microservices, and backend integrations connecting AI agents with enterprise systems, databases, and business applications.
- Develop AI-powered voice interactions using speech-to-text, text-to-speech, and conversational AI technologies.
- Design and implement agent orchestration workflows, tool integrations, and automated decision-making capabilities.
- Integrate AI solutions with IVR and contact center platforms such as Amazon Connect, Amazon Lex, and Genesys Cloud.
- Develop and optimize prompt engineering strategies, RAG capabilities, and AI agent workflows.
- Collaborate with software engineers, solution architects, business analysts, and customer stakeholders to translate business requirements into technical solutions.
- Implement security controls, authentication, authorization, privacy safeguards, and human escalation mechanisms for AI-enabled applications.
- Evaluate and improve response accuracy, latency, reliability, and customer experience.
- Conduct unit, integration, and performance testing, and troubleshoot AI-enabled applications.
- Support Agile development practices, CI/CD pipelines, code reviews, and technical documentation.
- Ensure AI solutions align with applicable federal security, accessibility, and compliance requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
