The Senior Software Engineer / Technical Lead (AI & Automation) will provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable, cloud-native solutions that enable intelligent workflow automation, AI-driven decisioning, document processing, and business process optimization.

The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise, coupled with practical experience implementing Generative AI, Agentic AI, and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications while driving innovation through AI-powered solutions.

Key areas of focus include:

• Application architecture, development, and production support
• Cloud-native engineering and platform modernization
• Microservices and distributed systems
• AI/GenAI, Agentic AI, and LLM-based solutions
• Event-driven and streaming architectures
• Engineering best practices, mentoring, and technical leadership

• 5+ years of software engineering experience, including designing and supporting enterprise-scale applications.
• 2+ years of experience serving as a Technical Lead, Sr Engineer, or equivalent technical leadership role.
• Strong expertise in Python application development and modern API frameworks such as FastAPI, Flask, or similar technologies.
• Experience designing and implementing microservices, distributed systems, and RESTful APIs.
• Strong experience with Google Cloud Platform (GCP) and cloud-native application development.
• Hands-on experience with:
  • Kubernetes (GKE)
  • Docker/Containerization
  • CI/CD pipelines and DevOps practices
  • GitHub and modern source control practices
• Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or similar messaging platforms.
• Experience working with cloud-native data technologies including BigQuery, BigTable, SQL, and large-scale data processing solutions.
• Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability.
• Hands-on experience implementing and operationalizing:
  • Generative AI solutions
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents and Agentic AI workflows
  • Prompt engineering and model evaluation frameworks
• Experience integrating enterprise applications with AI platforms such as Gemini, Vertex AI, OpenAI, Claude, or similar technologies.
• Strong analytical, troubleshooting, and production support skills.
• Excellent communication, collaboration, and stakeholder management skills.

• Experience in healthcare, pharmacy benefit management (PBM), utilization management, or prior authorization operations.
• Experience building AI-powered workflow automation and decision-support systems.
• Experience deploying and managing AI applications within regulated environments.
• Familiarity with MLOps, AI governance, model monitoring, and responsible AI practices.
• Experience with cloud migration and modernization initiatives.
• Experience leading architecture reviews, mentoring engineers, and driving engineering best practices across teams.
• Exposure to document intelligence, OCR, intelligent automation, and business process automation platforms.
• Experience with healthcare data standards, secure data processing, and compliance requirements.

• Master's Degree preferred in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Relevant industry certifications in Cloud Computing, Kubernetes, AI/ML, or Software Architecture (e.g., Google Cloud Professional certifications, Kubernetes certifications, AI/ML certifications).