W2 IT Data & AI Architect

Overview

On Site
USD 145,000.00 - 175,000.00 per year
Full Time

Skills

Operational Excellence
Research and Development
Research
Sourcing
Testing
Data Integration
Analytics
FOCUS
Productivity
Quality Assurance
Data Quality
Privacy
ISO 9000
Industry-specific
Emerging Technologies
Big Data
Advanced Analytics
Enterprise Resource Planning
SAP
Supply Chain Management
Data Acquisition
Management
High Availability
Real-time
Mentorship
Innovation
Computer Science
Data Science
Data Architecture
Software Development
Data Modeling
Database Administration
SQL
NoSQL
Extract
Transform
Load
TensorFlow
PyTorch
scikit-learn
Data Analysis
Databricks
Apache Spark
Apache Hadoop
IoT
Time Series
Sensors
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Storage
Data Governance
Regulatory Compliance
Programming Languages
Python
Java
Scala
Process Optimization
Quality Control
Communication
Analytical Skill
Manufacturing
Materials Science
Chemistry
Modeling
Cloud Architecture
Data Engineering
Machine Learning Operations (ML Ops)
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Artificial Intelligence
Machine Learning (ML)
SEP
Collaboration
Partnership
Business Transformation
Law

Job Details

Job Description: A TEKsystems client isseeking a highly motivated and experienced IT Data and AI Architect to join their team. This position requires an individual with a visionary mindset, technical expertise, and a passion for leveraging advanced analytics and AI to drive operational excellence, optimize product quality, enable predictive maintenance, and fuel research and development. You will collaborate with multidisciplinary teams-spanning engineering, research, quality control, IT, and production-to architect data and AI solutions that enhance every facet of our operations. Your work will be instrumental in integrating intelligent automation, advanced analytics, and data-driven insights throughout the battery lifecycle, from materials sourcing to manufacturing, testing, and delivery. ____________________________________________________________________________________________
Key Responsibilities:
  • Design and implement robust data architectures that enable real-time analytics, data integration, and seamless information flow across the organization.
  • Develop a scalable and secure data ecosystem that supports enterprise-wide analytics and AI applications.
  • Define AI strategies, identify opportunities for AI implementation, and align AI initiatives with business objectives.
  • Design enterprise AI architecture, including data pipelines, machine learning models, and integration with existing infrastructure with focus AI/ML solutions tailored to enterprise productivity improvements and battery manufacturing processes, including predictive maintenance, quality assurance, process optimization, and yield improvement.
  • Establish data governance frameworks, ensuring data quality, consistency, integrity, privacy, and compliance with industry standards (e.g., ISO, GDPR, industry-specific regulations).
  • Work closely with CIO, AI & Data Leader, engineering, manufacturing, quality, and IT teams to understand business requirements and translate these into scalable, AI-powered solutions.
  • Stay abreast of emerging technologies in AI, machine learning, IoT, big data, and cloud computing.
  • Evaluate and implement relevant tools, platforms, and frameworks for advanced analytics and manufacturing automation.
  • Integrate data from diverse sources such as manufacturing equipment, IoT sensors, ERP systems such as SAP, and supply chain platforms to enable a connected, data-rich environment.
  • Establish AI Governance framework, oversee the end-to-end lifecycle of AI/ML models-data acquisition, model development, validation, deployment, monitoring, and retraining.
  • Architect systems to manage and process large-scale data efficiently, ensuring high availability, reliability, and performance for real-time and batch operations.
  • Provide guidance and mentorship to data scientists, engineers, and analysts, fostering a culture of innovation and continuous learning within the data and AI domains.
  • Promote best practices in data engineering, AI development, and MLOps.

Qualifications:
  • Bachelor's degree in computer science, Data Science, Engineering, or a related field; Master's degree preferred
  • Minimum 7 years of experience in data architecture, data engineering, or AI solution development, preferably in a manufacturing or industrial environment.
  • Proficiency with data modeling, database management (SQL and NoSQL), and ETL processes
  • Extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data analytics platforms (e.g., Databricks, Spark, Hadoop)
  • Practical knowledge of IoT integration and handling time-series sensor data in industrial settings
  • Experience in cloud technologies and services (e.g., AWS, Azure, Google Cloud Platform) for data storage, processing, and AI model deployment
  • Experience in establishing data governance protocols and ensuring regulatory compliance
  • Experience in programming languages such as Python, Java, or Scala
  • Proven ability to design end-to-end AI-driven solutions for process optimization, predictive maintenance, or quality control.
  • Excellent communication skills and the ability to engage technical and non-technical stakeholders effectively
  • Ability to envision and realize novel applications of data and AI in a manufacturing context
  • Analytical approach with a track record of resolving complex technical challenges using data-driven methodologies
  • Capability to lead cross-functional teams and champion data and AI initiatives across department
  • Comfortable navigating ambiguity and thriving in a fast-paced, rapidly evolving environment

Preferred Qualifications
  • Previous experience in the EV, automotive, or battery manufacturing sectors
  • Knowledge of materials science data, battery chemistry, or electrochemical modeling
  • Familiarity with digital twin technologies and simulation platform
  • Certification in cloud architecture, data engineering, or machine learning
  • Experience with MLOps and continuous integration/continuous deployment (CI/CD) pipelines for AI/ML models

Pay and Benefits
The pay range for this position is $145000.00 - $175000.00/yr.
Company will provide benefits and a relo package if needed.
Workplace Type
This is a fully onsite position in Byhalia,MS.
Application Deadline
This position is anticipated to close on Sep 30, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About TEKsystems c/o Allegis Group