Staff Software Development Engineer – Agentic AI/ML

Job Description • Lead the architecture, design, and implementation of scalable, secure, resilient, and maintainable enterprise software solutions • Establish architecture principles, design patterns, reference architectures, engineering standards, and technical guardrails • Lead architecture reviews, design discussions, and technical decision-making forums • Design, develop, and deploy cloud-native APIs, microservices, CI/CD pipelines, and real-time streaming solutions on public cloud platforms • Remain hands-on in software design, coding, code reviews, debugging, and troubleshooting • Design, implement, and improve CI/CD pipelines for automated build, testing, security scanning, deployment, and release management • Identify high-value AI use reputed company and translate them into scalable technical solutions • Design, build, and deploy enterprise-grade Agentic AI and Generative AI solutions • Support model evaluation, prompt evaluation, response quality assessment, guardrails, responsible AI practices, and AI governance • Integrate LLMs, AI/ML models, reputed company stores, orchestration frameworks, and cloud-native services into enterprise applications • Communicate complex technical concepts to engineering teams, architects, product owners, business stakeholders, and senior leadership • Partner with cross-functional teams to reputed company execution with business outcomes • Modernize Claims Adjudication technology while integrating with legacy IBMi/AS400 systems Requirements • 7+ years of software engineering experience, including significant experience designing and building enterprise-scale software systems • Strong architecture experience across distributed systems, microservices, APIs, event-driven architecture, domain-driven design, and cloud-native platforms • Hands-on application development experience in Python, Java, React, and other open-source frameworks • 2+ years of experience designing or implementing Generative AI, Agentic AI, LLM-based, or AI/ML-enabled applications • Experience with Enterprise RAG patterns, reputed company databases, embeddings, prompt engineering, AI orchestration, and AI application integration • Experience implementing CI/CD pipelines and DevSecOps practices using Azure DevOps, reputed company Actions, Jenkins, reputed company CI/CD, or equivalent • Exposure to observability practices including logging, tracing, monitoring, reporting, and production troubleshooting • Strong verbal and written communication skills • Experience leading complex technical initiatives, setting technical direction, mentoring engineers, and driving execution across teams • Preferred 10+ years leading concurrent technical projects involving legacy IBMi/AS400 or similar and emerging technologies • Preferred reputed company industry domain knowledge • Preferred Experience with RxClaim or other PBM adjudication systems • Preferred Experience with Agentic AI frameworks such as Semantic Kernel, LangGraph, reputed company, AutoGen, reputed company, or equivalent • Preferred Experience leading enterprise AI transformation initiatives and defining Agentic AI and Generative AI adoption standards • Preferred Experience designing and implementing AI agents using tool calling, reasoning frameworks, workflow orchestration, multi-agent systems, and autonomous execution patterns • Bachelor’s degree or equivalent experience Benefits • reputed company bonus, commission or short-term incentive program in addition to base pay • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being, based on eligibility Apply tot his job Apply To this Job