Agentic AI Developer-IVR Modernization

Leidos•Baltimore, MD

20h

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 intelligent conversational solutions that improve customer interactions, automate workflows, and enhance the user experience. It focuses on Agentic AI, large language models (LLMs), natural language processing (NLP), and cloud technologies to build scalable, secure, and reliable voice-enabled applications. The developer will create AI agents and integrations for enterprise applications and existing IVR platforms, including conversational workflows that understand intent, maintain context, and execute multistep tasks. The role also contributes to secure, accessible, and compliant solutions for federal customers, and works with engineers, architects, analysts, and customer stakeholders to translate business needs into technical solutions.

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 using 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 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.

Responsibilities

Design, develop, and implement Agentic AI solutions to modernize enterprise IVR and contact center applications.
Develop conversational AI agents that understand user intent, maintain conversational context, and execute multistep workflows.
Integrate LLM 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 existing IVR and contact center technologies.
Develop and optimize prompt engineering strategies, retrieval-augmented generation 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 customer experience.
Conduct unit, integration, and performance testing, and troubleshoot 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.