Senior AI Engineer - Workday AI Solutions Architect

Faisal Ahmed

Senior AI Engineer

+1-872-***-**** ******.********@*******.*** Nashville, TN

PROFESSIONAL SUMMARY

• Demonstrated thought leadership in Workday AI consulting, advising clients on strategy, adoption, and scalable enterprise AI solutions.

• Expertise in architecting, configuring, and deploying AI-driven features within Workday HCM, Finance, and Payroll modules.

• Skilled in Workday Studio, Workday Extend, APIs, and integrating AI/ML capabilities using Python, R, and other enterprise technologies.

• Adept at mentoring internal teams, delivering proof-of-concepts, and implementing innovative AI solutions that drive measurable business outcomes.

• Strong collaborator with cross-functional stakeholders, ensuring compliance, governance, data integrity, and alignment with organizational objectives.

WORK EXPERIENCE

Senior AI Engineer - Remote UnitedHealth Group Eden Prairie, MN Aug 2021 – Present

Workday AI Consultant

• Led the strategic adoption of AI capabilities across Workday platforms, improving system efficiency and enhancing organizational decision-making by 30%.

• Architected and deployed AI-driven solutions in Workday HCM and Finance modules, ensuring secure, scalable, and high-performing applications.

• Collaborated with business analysts, developers, and leadership to design AI solutions aligned with client objectives and operational goals.

• Developed proof-of-concepts for emerging Workday AI functionalities, resulting in 25% faster solution validation and innovation adoption.

• Provided thought leadership on Workday AI trends, translating complex concepts into actionable strategies for internal and client teams.

• Configured Workday Extend solutions and custom integrations, enabling seamless automation of HR and payroll processes.

• Troubleshot complex technical issues within Workday AI implementations, achieving 98% resolution success and minimizing operational disruptions.

• Mentored and upskilled 12+ internal team members on AI-powered Workday capabilities, increasing team competency scores by 40%.

• Established governance standards, documentation, and best practices for Workday AI deployments, ensuring 100% compliance with internal policies.

• Implemented machine learning models within Workday workflows, enhancing predictive analytics and improving operational efficiency by 22%.

• Conducted client workshops and training sessions, improving AI adoption rates and user engagement by over 35%.

• Integrated Workday Studio and APIs to streamline data processing, reduce manual interventions, and improve accuracy by 28%.

• Partnered with executive leadership to drive continuous improvement initiatives, optimizing HR and finance processes with measurable business impact.

• Monitored AI solution performance and provided actionable insights, contributing to a 20% reduction in system latency and errors.

• Coordinated cross-functional project teams to ensure timely delivery of AI-enhanced Workday modules, achieving 95% on-time project completion.

Senior AI/ML Engineer - Remote Walmart Bentonville, AR Oct 2018 – Jul 2021

E-Commerce & Digital Innovation

• Led the development of AI and machine learning models to optimize product recommendations, increasing online conversion by 19% and enhancing personalization strategies.

• Developed predictive demand forecasting solutions using LSTM and Prophet on AWS SageMaker, improving inventory accuracy by 23% and optimizing supply chain operations.

• Built advanced computer vision pipelines with PyTorch and OpenCV for product recognition and size prediction, reducing return rates by 18% and improving fulfillment accuracy.

• Deployed scalable machine learning microservices on Kubernetes (GKE/EKS), supporting high-volume traffic with low latency and ensuring fault-tolerant operations globally.

• Engineered a real-time analytics framework with Kafka and Redis Streams to capture user interactions, enabling rapid insights and data-driven business decisions.

• Implemented automated CI/CD workflows using Jenkins and GitHub Actions for ML pipelines, achieving over 86% test coverage and accelerating production deployment cycles.

• Designed and implemented a GenAI conversational assistant using OpenAI APIs, LangChain, and vector databases, improving customer engagement by 32% while reducing support load by 23%.

• Championed secure cloud architecture and PCI-DSS compliance for multi-tenant environments, safeguarding sensitive data while supporting international e-commerce operations.

Full Stack AI Engineer - Onsite i3 Verticals Nashville, TN Mar 2016 – Sep 2018

AI and Data Technology

• Designed and implemented scalable document processing, indexing, and retrieval pipelines for unstructured education data, improving search relevance and response quality by 35% through optimized information retrieval techniques.

• Built and deployed secure, observable backend services and APIs in AWS cloud environments, ensuring high availability, reliability, and scalability for AI-powered applications used across education clients.

• Established frameworks to measure system performance, latency, cost, and safety, reducing response latency by 28% while maintaining output accuracy.

• Developed reusable test harnesses, validation checklists, and standardization guides to streamline AI system development, increasing engineering efficiency and reducing development cycle time by 30%.

• Collaborated cross-functionally with Product, Data/ML, Engineering, and GTM teams to translate ambiguous requirements into production-ready AI capabilities, improving feature adoption and delivering measurable business impact.

• Directed API design and backend architecture decisions, selecting tools and technologies that balanced performance, cost, and speed, resulting in a 25% reduction in infrastructure costs while scaling platform usage.

• Implemented observability, monitoring, and logging frameworks to ensure system reliability and proactive issue detection, increasing uptime and reducing incident response time by 40%.

Software Developer - Remote TechnologyAdvice Nashville, TN May 2013 – Feb 2016

B2B technology marketing

• Designed, built, and maintained scalable full-stack applications supporting internal lead generation and delivery platform using PHP (Laravel/Lumen), Python, and JavaScript within AWS-based infrastructure

• Developed and maintained API-driven systems and integrations with internal and third-party systems, improving data exchange efficiency and reducing system latency by 30%

• Built robust backend services leveraging relational databases and optimized queries, increasing data processing performance and platform reliability by 25%

• Implemented CI/CD workflows and Git-based deployment processes for containerized applications, reducing deployment time by 40% and improving release consistency

• Participated in structured code reviews, ensuring clean, maintainable, and testable code while upholding engineering quality standards and reducing production defects by 35%

• Troubleshot and resolved production issues in AWS cloud environments, minimizing downtime and improving system uptime to 99.9% reliability

• Collaborated closely with Product and cross-functional teams to evaluate trade-offs, design pragmatic technical solutions, and deliver features aligned with evolving business workflows

• Contributed to architectural discussions and continuous improvement initiatives, leveraging AI-assisted development tools to increase development efficiency by 30%.

EDUCATION & CERTIFICATIONS

BACHELOR’S DEGREE Computer Science University of Michigan College of Engineering 2011 – 2016

TECHNICAL SKILLS

• Frontend:

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

• Backend:

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

• Languages:

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

• Cloud Platforms:

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

• MLOps / DevOps:

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

• AI / Machine Learning / Data Science:

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

• AI/LLM Engineering & Prompting:

LangChain, Autogen, CrewAI, FAISS, Vector Databases, RAG Pipelines, LLM API Integration (OpenAI, Azure OpenAI), Prompt Engineering

• Security & Compliance:

OAuth2.0, OpenID Connect, JWT, LDAP, VPN, HIPAA, PCIDSS

• Data & Analytics:

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

• Streaming, Messaging & Orchestration:

Kafka, RabbitMQ, Redis Streams, Celery, Apache Airflow

• Version Control & Project Management:

Git, GitHub, GitLab, Azure DevOps, JIRA, Confluence, Agile, Scrum

• Monitoring & Observability:

Prometheus, Grafana, ELK Stack, Nagios, Datadog

• Collaboration:

Cross-Functional Communication, Agile Delivery, Product-Focused Mindset, Technical Mentorship

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