Technical Architect, AI & MLOps

Posted 20 Days Ago
Be an Early Applicant
Chicago, IL
Hybrid
129K-190K Annually
Senior level
Information Technology • Logistics • Software • Transportation • 3PL: Third Party Logistics
The Role
The Technical Architect will design and integrate AI solutions, optimize MLOps pipelines, and lead data architecture initiatives for large-scale AI applications.
Summary Generated by Built In

As an Technical Architect with a focus on Artificial Intelligence and MLOps, you will lead the architecture, design, and integration of AI-driven solutions across the enterprise. This role requires extensive experience in architecting data science platforms, MLOps pipelines, and designing data structures for large-scale AI models. You will collaborate with business and technical teams to address complex challenges, drive the adoption of AI technologies, and ensure scalable, high-performance solutions that align with business goalsJob Duties & Responsibilities

  • Architect and design AI, Data Science, and MLOps solutions that scale across the enterprise, supporting both experimentation and production environments.
  • Develop a deep understanding of business needs and technical roadmaps to architect cross-functional solutions for data science initiatives.
  • Design data structures and databases that effectively support machine learning models, AI workloads, and data-driven applications.
  • Lead efforts to build and optimize MLOps pipelines to enable seamless model development, testing, deployment, and monitoring across the enterprise.
  • Decompose AI/ML challenges into technical components such as data ingestion pipelines, feature stores, model repositories, and API endpoints, and produce detailed architectural documentation.
  • Collaborate with data scientists, engineers, and DevOps teams to ensure smooth integration of AI models into business applications.
  • Provide technical leadership in the evaluation and selection of AI platforms, tools, and frameworks for model training, versioning, and lifecycle management.
  • Ensure solutions adhere to enterprise architecture standards, including security, scalability, performance, and compliance requirements.
  • Identify and mitigate architectural risks related to AI/ML solutions, including issues related to data integrity, model performance, and operationalization challenges.
  • Lead knowledge-sharing sessions to align stakeholders on technical architectures and solutions.
  • Continuously evaluate emerging technologies and trends in AI, machine learning, and data science, incorporating these into the organization’s technology roadmap.

Required Skills

  • BA or BS, preferably in Computer Science, Engineering, Data Science, or related discipline, or equivalent work experience.
  • 10+ years of hands-on experience in the design and implementation of complex, high-volume software systems, with at least 5+ years focusing on AI/ML architecture, data science solutions, and MLOps.
  • Expertise in data architecture, including designing and optimizing data structures for large-scale machine learning models and AI applications.
  • Extensive experience with MLOps frameworks (e.g., Kubeflow, MLflow, Seldon) and cloud-based data science platforms (AWS Sagemaker, Google AI, or Azure AI).
  • Proven experience in building end-to-end AI/ML solutions – from data pipelines to model deployment and monitoring.
  • Strong knowledge of machine learning algorithms model lifecycle management, and model deployment best practices.
  • Expertise in cloud architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Experience in designing and developing event-driven architectures* microservices, and API-based integrations.
  • Solid understanding of enterprise security best practices for AI, including secure model access, data privacy, and compliance.
  • Experience with relational and NoSQL databases to support AI/ML data storage and retrieval.
  • Leadership experience mentoring and guiding technical teams in AI, MLOps, and data science.

 Preferred Skills

  • Cloud certifications – preferably AWS Certified Solutions Architect or Machine Learning.
  • Hands-on experience with AI governance frameworks to ensure compliance and ethical AI practices.
  • Experience with enterprise-level digital transformation projects that leverage AI and automation.

Echo Global Logistics is a leading provider of technology-enabled transportation management services. As a third-party logistics provider, we simplify transportation management for our clients and carriers, handling crucial tasks so they can focus on what they do best. From coast to coast, dock to dock, and across all major transportation modes, Echo connects businesses that need to ship their products with carriers who transport goods quickly, securely, and cost-effectively.

#LI-MA1

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.

Benefits

For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers.

Compensation

Compensation Range: $129,200.00 - $159,500.00 - $189,800.00This role is eligible for a bonus that is based on a combination of personal and business performance.

Top Skills

Artificial Intelligence
Aws Sagemaker
Azure Ai
Ci/Cd
Data Science Platforms
Docker
Google Ai
Kubeflow
Kubernetes
Mlflow
Mlops
Nosql Databases
Relational Databases
Seldon
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Chicago, IL
2,600 Employees
Hybrid Workplace
Year Founded: 2005

What We Do

Echo is a leading provider of technology-enabled business process outsourcing, serving the transportation and logistics needs of our clients. Our proprietary web-based technology, dedicated service teams and robust procurement power enables our clients to see significant transportation savings while receiving best-in-class service.

Why Work With Us

At Echo you don’t just have a job—you have a career. Passion for what you do keeps you on the road to success. It’s teamwork and relationships that make our team truly successful. The chance to work alongside friends, have your voice heard, and be mentored by those who genuinely want to see you grow and thrive makes every day even better.

Gallery

Gallery

Similar Jobs

Motorola Solutions Logo Motorola Solutions

Software Engineer (Chicago Hybrid)

Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Hybrid
Chicago, IL, USA
21000 Employees
64K-128K Annually

Grainger Logo Grainger

Solutions Architect III

eCommerce • Information Technology • Retail • Industrial
Hybrid
Lake Forest, IL, USA
26000 Employees
143K-238K Annually

Invenergy Logo Invenergy

Intern, Technology Solutions

Greentech • Real Estate • Social Impact • Energy • Industrial • Solar • Renewable Energy
Chicago, IL, USA
2500 Employees
22-25

Discover Logo Discover

Application Engineer (Quality)

Cloud • Fintech • Machine Learning • Analytics • Financial Services
Hybrid
Chicago, IL, USA
18000 Employees
89K-150K Annually

Similar Companies Hiring

True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees
Caliola Engineering Thumbnail
Software • Machine Learning • Hardware • Defense • Data Privacy • App development • Aerospace
Colorado Springs, CO
53 Employees
Red 6 Thumbnail
Virtual Reality • Software • Hardware • Defense • Aerospace
Orlando, Florida
113 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account