Agentic AI Developer-IVR Modernization

Leidos is seeking an experienced Agentic AI Developer to support the Enterprise Health Sector in modernizing and enhancing its customer service and Interactive Voice Response (IVR) capabilities through innovative artificial intelligence technologies.

The successful candidate will design, develop, integrate, and deploy intelligent, AI-driven conversational solutions that improve customer interactions, automate complex workflows, and enhance the overall user experience.

This position will focus on leveraging Agentic AI, Large Language Models (LLMs), Natural Language Processing (NLP), and cloud-based technologies to develop scalable, secure, and reliable voice-enabled applications supporting the mission.

The ideal candidate will have strong software development experience, hands-on knowledge of AI agent frameworks, and experience integrating conversational AI solutions with enterprise applications and existing IVR platforms.

Primary Responsibilities

• Design, develop, and implement Agentic AI solutions to enhance and modernize enterprise IVR and contact center applications.
• Develop intelligent conversational AI agents capable of understanding user intent, maintaining conversational context, and executing multistep workflows.
• Integrate Large Language Models (LLMs) and Natural Language Processing 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 existing IVR and contact center technologies, including platforms such as Amazon Connect, Amazon Lex, Genesys Cloud, or comparable technologies.
• Develop and optimize prompt engineering strategies, retrieval-augmented generation (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 AI solution performance, including response accuracy, latency, reliability, and overall customer experience.
• Conduct unit testing, integration testing, performance testing, and troubleshooting of AI-enabled applications.
• Support Agile software development practices, CI/CD pipelines, code reviews, and technical documentation.
• Ensure AI solutions align with applicable federal security, accessibility, and compliance requirements.

Basic Qualifications

• 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 AI agent orchestration, tool calling, context management, and automated workflows.
• Experience with cloud technologies such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with Natural Language Processing, speech recognition, and conversational AI technologies.
• Experience working within 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.

Preferred Qualifications

• Hands-on experience developing Agentic AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or similar technologies.
• 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 Retrieval-Augmented Generation (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 development 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.

About the Role

This position provides an opportunity to contribute to the modernization of the customer-facing technologies by developing intelligent, secure, and scalable AI-driven solutions.

The Agentic AI Developer will play a key role in improving automated customer interactions, reducing reliance on traditional menu-driven IVR systems, and enabling more natural, efficient, and accessible communication experiences.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.