IT Resource Manager

ChenMed•Miami Gardens, FL

5h•$118,062 - $168,658•Onsite

About The Position

The IT Resource Manager provides technology leadership for ChenMed’s AI software engineering practice, leading a team of Python engineers who design, build, and operate production AI-powered applications. The incumbent hires, develops, and manages a team of software engineers; sets technical direction for Python-based services, including agentic and LLM-orchestrated systems; and holds the team to modern engineering standards for reliability, testability, and maintainability. This role establishes and directs the strategic long-term goals, policies, and procedures for AI application development, partnering with architecture and product teams to deliver solutions that integrate cleanly with ChenMed’s broader distributed systems landscape, while overseeing a vertical within the IT organization and ensuring service performance.

Requirements

A minimum of 6 years of professional work experience in the IT/software engineering industry required
A minimum of 4 years of hands-on Python software development experience required
1-2 years of experience leading or managing software engineering teams required
Demonstrated experience designing, building, and operating production software applications at scale
Experience building or working with AI/LLM-powered applications or agent-based systems (e.g., agent orchestration frameworks, retrieval-augmented generation, prompt engineering)
Experience with event-driven or microservices architectures (e.g., CQRS, event sourcing, Kafka)
Highly-developed business acuity and acumen
Hands-on proficiency in Python and modern software engineering practices, with the ability to review code, guide technical design, build solutions and unblock engineers on complex problems
Working knowledge of building and operating AI/LLM-powered applications, including agent orchestration frameworks, prompt and context engineering, and evaluation of model outputs
Solid understanding of distributed systems concepts, including event-driven architecture, CQRS, event sourcing, and asynchronous messaging (e.g., Kafka), as well as related domain-driven design concepts such as bounded contexts and ubiquitous language
Strong understanding of leadership best practices and company standards
Excellent working knowledge of computer systems, security, cloud and container platforms (e.g., Kubernetes), databases, and data storage systems
Strong critical thinking and decision-making skills
Excellent project management skills and strong ability to prioritize
Firm grasp of the software development lifecycle and DevOps/CI-CD best practices, including automated testing, and peer code review
Fundamental knowledge of data governance, particularly as it relates to AI/ML systems and responsible use of data
Mostly self-directed with minimal to no direct supervision. Expectation of weekly touchpoints
Proven ability to manage personnel through the accomplishment of business delivery for team. Encourages career growth and personal growth for all team members
Ability to positively impact peer-to-peer interactions, leading by example. Must possess the ability to effectively address any potential dysfunctions
Excellent written and verbal communication skills
Ability to effectively communicate with business stakeholders, managers in other functional areas, and directors in own functional area, including translating technical AI concepts for non-technical audiences
Ability and willingness to travel locally, regionally, and nationwide up to 15% of the time
Spoken and written fluency in English
This job requires use and exercise of independent judgment

Responsibilities

Manages, coordinates, plans, and leads a Python-focused AI software engineering team, including analysis, design, development, building and delivery of production AI and agentic applications.
Provides leadership and technical direction by meeting staffing needs through hiring, onboarding, training, coaching, evaluating, and managing direct reports, while growing the team’s proficiency in Python, AI/LLM application development, and modern software delivery practices.
Guides the team’s approach to building and operating Python-based AI agent applications, including orchestration of multi-step LLM workflows, tool and function calling, and integration with upstream and downstream services.
Establishes and enforces modern software engineering practices, including pull-request code review, automated testing (unit, integration, and contract tests), CI/CD pipelines, static analysis, and architecture decision records (ADRs) to document significant technical choices.
Partners with enterprise architecture to ensure AI services align with the organization’s event-driven and distributed systems patterns — including separation of command and query responsibilities (CQRS), event sourcing, and asynchronous messaging — so that AI applications integrate cleanly with existing domains and bounded contexts.
Analyzes business requirements by partnering with key stakeholders across the organization to translate them into technical designs and AI-enabled solutions.
Monitors the performance, reliability, and cost of AI applications and underlying infrastructure, and makes recommendations for improvement.
Defines and develops a service measurement framework for the AI engineering function, covering code quality, delivery velocity, and production reliability.
Manages team(s) for the AI engineering functional area, including guiding direct reports and peers regarding policies, practices, and procedures. Supports and leads associate resource managers and peers. Manages 3–5 professional and para-professional level employees on a single or multiple teams. Sets goals and objectives for achievement of operational results. Coaches, reviews, and builds alongside the team.
Builds and influences team culture across the functional area, cultivating morale and encouraging cross-functional collaboration. Ensures consistent delivery for all direct reports, teams, and functional areas in sphere of responsibility, and monitors the well-being of team members, acting as required to support their ongoing success.
Performs other duties as assigned and modified at manager’s discretion.