Technical Delivery Lead

We are seeking a Tech Lead focusing on AI, Modernization & Transformation to drive enterprise-scale transformation of our platforms through Agentic AI, cloud-native architecture, and real-time data processing.

This role combines hands-on engineering excellence with strategic leadership, modernizing legacy systems into scalable, intelligent, cloud native high-performance platforms using Java, Spring Boot, Python and Mongo DB.

The ideal candidate brings deep expertise in distributed systems, real-time processing, and AI-driven engineering, along with strong experience in Test-Driven Development (TDD), reverse engineering, and close collaboration with enterprise architects. A proven track record of applying AI to deliver measurable transformation outcomes is essential.

Experience with EDI and Encounter processing platforms is highly valued, particularly in transforming high-volume, regulated systems into real-time, modern API based architectures.

Key Responsibilities

1. Agentic AI & AI-Driven Transformation

Lead implementation of Agentic AI systems (autonomous agents, multi-agent orchestration, intelligent workflows)

Drive adoption of LLMs, RAG pipelines, and AI-assisted engineering practices

Deliver production-grade AI use cases that improve performance, cost efficiency, or developer productivity

Integrate AI into the full engineering lifecycle (development, testing, operations)

2. Modernization, Reverse Engineering & Transformation

Lead modernization of legacy systems using reverse engineering to analyze, decompose, and redesign complex architectures

Transform monoliths into cloud-native, microservices-based and event-driven systems

Modernize EDI and Encounter processing platforms into real-time, scalable architecture

Define and execute multi-year transformation roadmaps in alignment with enterprise strategy

Apply design thinking to reimagine systems from a business-value and user-outcome perspective

Partner closely with architects to ensure alignment with enterprise architecture standards and long-term vision.

3. Backend Engineering Excellence (Java, Spring Boot, Python, SQL)

Lead development of:

Java / Spring Boot microservices

Python-based services, automation, and AI pipelines

SQL-based data processing and analytics solutions

Design systems for high-volume transaction processing and scalability

Drive best practices in clean architecture, reusable design patterns, and observability

4. Test-Driven Development & Engineering Discipline

Champion Test-Driven Development (TDD) across engineering teams

Establish robust automated testing frameworks:

Unit testing

Integration testing

Performance testing

Enable quality-first engineering culture with reduced defects and improved release confidence

Embed testing into CI/CD pipelines for continuous validation

5. Real-Time Data & Distributed Systems

Design and implement real-time data processing and streaming solutions

Build systems capable of:

High throughput

Low latency

Event-driven scalability

Support mission-critical transaction systems (claims, encounters, eligibility, payments)

Optimize for performance, resiliency, and fault tolerance

6. Cloud & Platform Engineering

Architect end-to-end cloud-native solutions across:

Compute, storage, networking

Security and compliance

Monitoring and observability

Drive adoption of:

Kubernetes, Docker

CI/CD pipelines

Infrastructure as Code (IaC)

Build platforms supporting both transactional and analytical workloads

7. Technical Leadership, Collaboration & Design Thinking

Partner closely with enterprise and solution architects on architecture decisions and target-state design

Apply design thinking methodologies to solve complex business and technical challenges

Lead and mentor engineering teams, driving high standards of execution

Conduct architecture reviews, design sessions, and code reviews

Establish reusable frameworks, standards, and engineering best practices

8. Business Impact & Performance Outcomes

Demonstrate proven ability to use AI to transform systems and processes, including:

Performance improvement

Cost reduction

Productivity acceleration

Deliver measurable outcomes through:

Modernization initiatives

AI-driven automation

Real-time system enablement

Ensure enterprise-grade reliability, scalability, and compliance

Required Qualifications

10+ years of experience in software engineering / architecture

Strong hands-on expertise in:

Java (Spring Boot) - required

Python - required

SQL, MongoDB and data processing - required

Experience with:

Agentic AI frameworks and autonomous systems

LLMs, RAG pipelines, and production AI solutions

Experience with:

Event streaming platforms (Kafka or equivalent)

Data lakehouse / advanced data engineering platforms

Proven experience designing real-time, distributed systems

Strong experience with Test-Driven Development (TDD)

Demonstrated expertise in reverse engineering and modernization of legacy systems

Experience working with high-volume transactional systems (EDI, Encounters, claims, or similar)

Proven collaboration with enterprise architects and design frameworks

Strong design thinking capability applied to system transformation

Demonstrated success in leveraging AI for measurable transformation outcomes

Experience with cloud-native platforms (Azure, AWS, OCI)

Experience leading engineering teams in transformation initiatives

Preferred Qualifications

Architecture or cloud certifications (TOGAF, etc.)

Leadership Expectations

Act as a transformation leader, not just a delivery lead

Balance hands-on engineering with strategic thinking and design orientation

Influence across engineering, architecture, and business stakeholders

Drive a culture of:

AI-first innovation

Engineering excellence (TDD, quality-first mindset)

Ownership and accountability

Prioritize team activities based upon IT leadership priorities and bandwidth

Representing IT in project/business meetings and engagements

Improve solution functionality and efficiency with added business value

Collaborate closely with other business areas to optimize the use of systems and applications

Collaborate with the department manager to systematically evaluate currently deployed services; develop and manage plans to optimize delivery and support mechanism

Compensation Range:

$94,100.00 - $164,800.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type:

Salary

Competencies:

- Fostering a Collaborative Workplace Culture - Cultivate Partnerships - Develop Self and Others - Drive Execution - Influence Others - Pursue Personal Excellence - Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.

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