Workday AI Consultant - Enterprise AI & Integration Expert

Austin James Martinez

Email: ***********@*******.***

Phone: +1-512-***-**** · Location: Park City, IL

SUMMARY

•Senior AI Consultant with 10+ years of experience designing enterprise AI, integration, and automation solutions across HRIS, ERP, and cloud platforms with strong focus on Workday ecosystems.

• Strong expertise in AI/ML concepts, enterprise SaaS architectures, and API driven integrations using Python, enabling intelligent automation and optimization across Workday HCM, Finance, and Payroll modules.

• Proven thought leadership in AI adoption strategies, driving enterprise transformation through scalable Workday AI solutions, governance frameworks, and best practice implementation across organizations.

• Experienced in client facing consulting, stakeholder management, and cross functional collaboration delivering scalable, secure, and high performing AI enabled enterprise systems.

PROFESSIONAL EXPERIENCE

OptumEngineer

Senior Software Engineer, Integrations & Azure - Remote

01/2020 - Present

•Led AI driven enterprise integration strategies aligning healthcare HR and operational systems with scalable Workday style ERP architectures using Python, APIs, and Azure based platforms.

• Designed and implemented AI enabled automation workflows improving HR data processing accuracy by 35% across enterprise workforce and payroll related systems.

• Built scalable API integrations supporting HRIS and ERP style data exchange ensuring secure and consistent data flow across multiple enterprise SaaS platforms.

• Developed AI powered data validation and reconciliation frameworks improving data integrity across large scale workforce and operational datasets by 30%.

• Implemented enterprise grade governance standards for AI and integration workflows ensuring compliance, security, and reliability across distributed systems.

• Designed Workday inspired architecture patterns for modular AI services supporting HCM, finance, and workforce analytics use cases across enterprise environments.

• Created monitoring, alerting, and observability systems improving system reliability and reducing incident response time by 40% across enterprise platforms.

• Collaborated with business analysts, product leaders, and technical teams to translate HR and finance requirements into scalable AI driven system designs.

• Developed proof of concept AI solutions for automation and workflow optimization demonstrating enterprise value of machine learning within ERP ecosystems.

• Mentored engineering teams on AI integration patterns, Workday ecosystem architecture, and enterprise SaaS best practices for scalable deployments.

• Led stakeholder engagement sessions to define technical roadmaps and ensure alignment between AI strategy and business objectives across enterprise systems.

• Built CI/CD pipelines and deployment frameworks enabling scalable release of AI enabled enterprise applications using Azure DevOps and Docker.

Optum

Software Engineer - Remote

7/2012 - 12/2019

•Developed enterprise integration solutions using Python and APIs supporting HR and operational data flows across distributed healthcare and enterprise systems.

• Built reusable automation frameworks improving efficiency of enterprise workflow processing across multiple internal platforms and SaaS applications.

• Implemented structured error handling and monitoring systems improving reliability and reducing failures across enterprise data workflows by 25%.

• Designed scalable API services supporting secure data exchange between enterprise HR, finance, and operational systems.

• Created data validation and reconciliation processes ensuring accuracy and consistency across enterprise workforce datasets and reporting systems.

• Collaborated with cross functional teams to support enterprise system integration and improve workflow automation across HR and operational domains.

• Supported early adoption of cloud based enterprise platforms enabling scalable HR and operational data management systems.

• Developed documentation and process frameworks supporting governance, compliance, and standardization of enterprise integration workflows.

Stealth Mode Startup

Software Engineer - Onsite

01/2010 - 06/2012

• Built backend systems and data processing pipelines supporting e-commerce analytics and reporting.

• Implemented secure API integrations and data exchange pipelines across internal systems.

• Contributed to early adoption of cloud-based integration solutions and automation practices

EDUCATION

University of Illinois – Urbana-Champaign

Bachelor of Computer Science

Champaign, IL

2005-2009

SKILLS

Category

Technologies

Languages

Python, Java (8–17), Scala, Kotlin, C# (.NET 6/7), JavaScript(ES6+), TypeScript, SQL

Backend

Spring Boot, Django, FastAPI, Gin (Go), Node.js, Laravel, RESTful APIs, GraphQL, gRPC, Spring Security, OAuth2.0, OpenID Connect, JWT, SSO

Frontend

React (18+), Angular (v12–14), Vue.js, React Native, Bootstrap, Tailwind CSS, Material UI, TypeScript

MLOps / DevOps

Docker, Kubernetes, Docker Swarm, Terraform, Ansible, Helm, GitHub Actions, GitLab CI, CircleCI, Azure DevOps(ADO), Jenkins, JFrog Artifactory, Python Wheel Packaging

Cloud Platforms

AWS (SageMaker, Lambda, ECS, EKS, S3, Lake Formation),Azure (AKS, Functions, Blob Storage, DevOps Pipelines),GCP (BigQuery, GKE),IBM Cloud

Security & Compliance

OAuth2.0, OpenID Connect, JWT, LDAP, VPN, HIPAA, PCIDSS, Model Governance, Risk Management

Data & Analytics

PostgreSQL, MySQL, MongoDB, Redis, Databricks, Apache Spark, Delta Lake, Airflow, ETL Pipelines, Snowflake, Redshift, Power BI, Tableau

AI / Machine Learning / Data Science

PyTorch, TensorFlow, TFX, Scikit-learn, XGBoost, LightGBM, Spark MLlib, Pandas, NumPy, SciPy, OpenCV, MLflow, PySpark, Apache Flink, EDA, ETL

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