Addison, TX

Developer Jobs in Addison, TX

3 jobs found

Include remote jobs

13d ago

Data Engineer

MPOWERHealth Addison, TX

Addison, TX

13d ago

Full time Azure Azure Data Factory Cloud Platform

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Job Description

The Data Engineer will build and operate scalable data platforms by integrating enterprise data into robust warehouses and governed pipelines on Microsoft SQL Server and Azure.

Responsibilities

Lead data integration across Clinical/Healthcare Practice Management Systems, Electronic Medical Record (EMR) systems, HR, Accounting, CRM, and other enterprise applications
Architect and oversee scalable data platforms and database architectures for multiple business lines
Design and optimize complex ETL/ELT pipelines using Azure Data Factory, other Azure services, and Python with a focus on reliability and performance
Orchestrate pipelines that utilize AI/LLMs for data extraction from documents and other source systems
Drive enterprise data initiatives to capture required datasets and enable sustainable database development
Perform advanced data profiling, cleansing, and transformations to support analytics and reporting teams
Implement and sustain Master Data Management (MDM) strategies to ensure data consistency and integrity
Find process improvement opportunities and lead automation efforts to reduce delivery time and improve quality
Establish and maintain data lineage, monitoring, and operational tracking systems
Provide hands-on engineering support while mentoring junior engineers and reinforcing knowledge sharing and continuous improvement
Work with stakeholders to capture evolving data requirements and translate them into scalable technical solutions
Maintain high code quality through documentation, source control, code reviews, and rigorous testing
Identify integration gaps, recommend solutions, and drive ongoing enhancements to data processes
Define and enforce data engineering and integration best practices across the team
Evaluate emerging Azure capabilities and lead proofs of concept to confirm fit for purpose

Requirements

7+ years of experience in database and ETL development roles
4+ years of deep hands-on experience with Azure Data Factory (ADF)
3+ years experience with healthcare and/or financial data or other highly regulated verticals
2+ years experience using Python
Strong working knowledge of the Azure ecosystem of tools
Advanced proficiency in T-SQL and SQL Server
Strong understanding of data modeling, indexing, and schema design principles
Proven ability to manage multiple priorities and deliver solutions from concept through production
Strong collaboration and communication skills for partnering with stakeholders
Bachelor’s degree or higher

Technologies

Microsoft SQL Server
Azure
Azure Data Factory (ADF)
Python
T-SQL
AI/LLMs
Azure services

Preferred Experience

Experience with data integration involving Healthcare EDI files (for example, 835, 837)
Experience extracting data from documents using AI/LLMs

Location: Addison, TX 75001 (hybrid)

Education: Bachelor’s degree or higher

Minimum Experience: 7 years

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1mo ago

Software Engineer III – Generative AI Platform Engineering

Bank of America Addison, TX

Addison, TX

1mo ago Closed

Full time APIs Artificial Intelligence DevOps

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Bank of America is hiring an on-site Software Engineer III to advance Generative AI Platform Engineering in Addison, TX.

Responsibilities

Code solutions and unit tests to deliver stories that meet acceptance criteria and compliance requirements
Design, develop, and modify architecture components, interfaces, and solution enablers while preserving architectural integrity
Mentor software engineers and coach the team on CI/CD practices and automating tool stacks
Participate in story refinement, define requirements, and estimate work for delivery lifecycle
Execute spike or proof-of-concept work to mitigate risk or explore new ideas
Automate manual release activities
Design, develop, and maintain automated test suites (integration, regression, performance)
Develop and enhance enterprise GenAI platform capabilities, reusable services, and self-service tools
Design and build AI powered applications, agentic workflows, RAG solutions, and MCP enabled services
Develop scalable APIs, microservices, and platform components supporting AI/ML lifecycle management
Build and maintain frameworks for model development, fine-tuning, deployment, inferencing, monitoring, and observability
Implement event-driven and streaming solutions using Kafka and distributed processing platforms
Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices
Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities
Engage in design discussions, code reviews, sprint planning, story refinement, and estimation activities
Ensure solutions meet security, scalability, governance, resiliency, and operational excellence standards
Support platform observability, monitoring, and performance optimization initiatives
Continuously assess emerging AI technologies and contribute innovative solutions to enhance platform capabilities

Core Engineering Responsibilities

Develop code and automated tests to deliver stories that meet quality and compliance standards
Contribute to application design using data, integration, and platform architecture patterns
Collaborate on requirement analysis, story refinement, and solution design activities
Estimate and deliver work within Agile development cycles
Build agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures
Deliver secure, scalable, observable, and resilient software aligned with enterprise standards
Troubleshoot, optimize, and maintain platform services to achieve operational excellence

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
6+ years of software engineering experience with strong Python development skills
Experience building AI/ML, Data Science, Data Engineering, or analytics applications in enterprise settings
Deep understanding of modern GenAI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based workflows
Hands-on experience developing AI/ML and GenAI solutions with modern frameworks and tools
Proven ability to build scalable REST APIs and microservices using FastAPI or similar frameworks
Experience creating applications that leverage vector stores, inference services, model-serving technologies, and AI orchestration frameworks
Strong Python programming skills with production-grade applications and reusable libraries
Experience with AI/ML lifecycle management frameworks such as MLFlow and Kubeflow, including model deployment, fine-tuning, and inference
Experience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls
Understanding of metadata management, data lineage, governance principles, and semantic layer concepts
Experience working in large-scale engineering organizations using Git-based development, CI/CD pipelines, automated testing, and collaborative practices
Familiarity with cloud-native development, containers, Kubernetes, and distributed computing environments

Technologies

Python
FastAPI
Kafka
Jupyter
VS Code
Git
Kubernetes
Containers
MLFlow
Kubeflow
API Gateway
JWT-based authentication
REST APIs
MCP

Benefits

affordable, competitive and flexible benefits

Position Summary

Hands-on software engineering role focused on enterprise-grade Generative AI, Data Science, and AI Platform capabilities within Bank of America's AI ecosystem
Individual contributor responsible for designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and components to support model development, deployment, inferencing, automation, and governance
Collaboration with senior engineers, architects, product owners, and data scientists to create scalable, secure, and resilient solutions using modern AI frameworks, cloud-native tech, and enterprise practices
Ideal for engineers passionate about Generative AI, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption
Role emphasizes delivering solutions that meet functional, non-functional, and compliance requirements with maintainability and testability built-in from the start

Shift

1st shift (United States of America)

Hours Per Week

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1mo ago

Software Engineer III-Generative AI Platform Engineering

Bank of America Addison, TX

Addison, TX

1mo ago Closed

Full time AI Engineer Engineering

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

This hands-on software engineering role concentrates on delivering enterprise-grade Generative AI, data science, and AI platform capabilities within the bank's AI ecosystem. The position focuses on designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and application components that support model development, deployment, inference, automation, and governance. This role is based onsite in Addison, TX.

Responsibilities

Develop code and unit tests to satisfy a defined story, acceptance criteria, and compliance requirements.
Design, evolve, and adjust architecture components, interfaces, and solution enablers while preserving architectural integrity.
Mentor other engineers and guide the team on CI/CD practices and automation of the tool stack.
Lead story refinement, requirements definition, and effort estimation to deliver work through the lifecycle.
Perform spikes or proofs of concept as needed to mitigate risk or explore new ideas.
Automate manual release activities to streamline deployment processes.
Create and maintain automated test suites, including integration, regression, and performance tests.
Develop and enhance enterprise GenAI platform capabilities, reusable services, and self-service tooling.
Design and build AI powered applications, agentic workflows, RAG solutions, and MCP enabled services.
Develop scalable APIs, microservices, and platform components that support the AI/ML lifecycle.
Build and maintain frameworks for model development, fine-tuning, deployment, inference, monitoring, and observability.
Implement event-driven and streaming solutions using technologies such as Kafka and distributed processing platforms.
Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices.
Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities.
Participate in design discussions, code reviews, sprint planning, story refinement, and estimation activities.
Ensure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence.
Support platform observability, monitoring, and performance optimization initiatives.
Continuously evaluate emerging AI technologies and contribute innovative solutions to extend platform capabilities.
Develop code and automated tests to deliver stories meeting quality and compliance standards.
Engage in application design leveraging data, integration, and platform architecture patterns.
Collaborate in requirement analysis, story refinement, and solution design activities.
Estimate and deliver assigned work within Agile development cycles.
Build agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures.
Deliver secure, scalable, observable, and resilient software aligned with enterprise standards.
Troubleshoot, optimize, and maintain platform services to ensure operational excellence.

Requirements

Bachelor’s degree in computer science, engineering, data science, or a related field.
Minimum of 6 years in software engineering with strong Python application development experience.
Experience building AI/ML, data science, data engineering, or analytics applications in enterprise environments.
Solid understanding of modern GenAI and data science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code development.
Hands-on experience delivering AI/ML and GenAI solutions with current frameworks and tools.
Proven ability to build scalable REST APIs and microservices using FastAPI or comparable frameworks.
Experience developing applications that leverage vector stores, inference services, model-serving technologies, and AI orchestration frameworks.
Strong Python programming skills with a track record of production-grade applications and reusable libraries.
Experience with AI/ML lifecycle management frameworks such as MLFlow and Kubeflow, including model deployment, fine-tuning, and inference.
Experience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls.
Understanding of metadata management, data lineage, governance principles, and semantic layer concepts.
Experience operating within large-scale engineering organizations using Git-based development, CI/CD pipelines, automated testing, and collaborative practices.
Familiarity with cloud-native development, containers, Kubernetes, and distributed computing environments.

Technologies

Python
FastAPI
Kafka
Containers
Kubernetes
Jupyter
VS Code
MLFlow
Kubeflow
API Gateway
JWT
Vector stores
Model-serving technologies
AI orchestration frameworks
Git
MCP
REST APIs

Shift

1st shift (United States of America)

Hours per Week

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Developer Jobs in Addison, TX

Data Engineer

Software Engineer III – Generative AI Platform Engineering

Software Engineer III-Generative AI Platform Engineering

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