AI-Driven PBM Modernization Architect

Worky

Dallas (TX)

Hybrid

USD 150,000 - 205,000

Full time

14 days+

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Job summary

Worky in Dallas, TX is seeking a Principal Architect for PBM Modernization & AI Engineering to lead the design and delivery of modern, cloud-native architectures, partnering with product, engineering, data and business teams to transform legacy PBM platforms.

You will drive API-first, event-driven solutions using React, Java, Go, Node.js, Kubernetes and data platforms, while championing Generative AI and intelligent automation across the software lifecycle.

Qualifications

8+ years of experience in software engineering, solution architecture, and technology leadership.
Demonstrated progression from hands-on software engineering roles into architecture leadership positions.
Deep expertise designing and building cloud-native applications utilizing Java, Go, Node.js, React, APIs, microservices, and event-driven architectures.
Strong background in data architecture, data modeling, data engineering, and modern data platforms.
Experience implementing Generative AI, Agentic AI, large language model (LLM)-based solutions, and intelligent automation capabilities in enterprise environments.
Experience within healthcare, pharmacy benefit management (PBM), payer, or pharmacy technology domains preferred.
Proven ability to influence senior technology and business leaders while driving large-scale modernization initiatives.
Strong communication, collaboration, and stakeholder management skills with the ability to translate complex technical concepts into business value.
Bachelor degree in Computer Science or related fields

Responsibilities

Lead the design and implementation of architecture solutions supporting strategic PBM modernization initiatives.
Drive the transformation of legacy applications into modular, cloud-native, API-first, and event-driven platforms.
Establish architecture standards, reference patterns, and engineering best practices that improve scalability, resiliency, maintainability, and speed to market.
Provide hands‑on technical leadership through architecture reviews, solution design, proof‑of‑concept development, and critical engineering initiatives.
Partner with engineering teams to modernize application platforms using React, Java, Go, Node.js, Kubernetes, cloud‑native services, and modern integration patterns.
Define and implement data architecture, data modeling, and data engineering strategies that support operational, analytical, and AI‑driven business capabilities.
Drive adoption of DevSecOps, platform engineering, architecture automation, and AI‑assisted software development practices.
Identify and implement opportunities to embed Generative AI, Agentic AI, and intelligent automation capabilities within PBM products and business workflows.
Define architectural patterns that support AI‑enabled workflow automation, intelligent decision support, knowledge management, and operational excellence.
Leverage AI-powered engineering platforms and development copilots, including Claude Code, Cursor, GitHub Copilot, and emerging technologies, to accelerate modernization efforts, improve developer productivity, enhance software quality, and reduce delivery timelines.
Design and implement AI‑enabled software engineering capabilities, including SDLC agents, reusable skills, prompt frameworks, and specification‑driven development practices that automate architecture, coding, testing, documentation, and modernization workflows.
Ensure all solutions are secure, scalable, observable, compliant, and aligned with enterprise architecture principles and governance standards.
Mentor architects and engineers while fostering a culture of technical excellence, innovation, continuous learning, and modernization.