Enterprise AI Architect

Everforth Apex
Pennington, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Pennington, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Computing Platforms
Azure
Cloud Computing
Continuous Integration
Data Architecture
Information Engineering
IBM InfoSphere DataStage
Python
Machine Learning
SQL Databases
Management of Software Versions
Enterprise Data Management
Google Cloud Platform
Feature Engineering
Data Ingestion
Large Language Models
Prompt Engineering
Spark
Deep Learning
Generative AI
AI Platforms
Information Technology
Data Management
Machine Learning Operations
Microservices

Job description

  • Design comprehensive AI/ML architectures covering data ingestion, feature engineering, model development, deployment, monitoring, and retraining.
  • Define and standardize enterprise AI reference architectures, platforms, frameworks, and tools.
  • Partner with business, data, and engineering leaders to develop technical AI solutions.
  • Establish reusable AI patterns, accelerators, and best practices to guide teams from proof-of-concept to production.
  • Collaborate with data architecture teams to ensure data quality, lineage, and governance for AI workloads.
  • Integrate AI solutions with enterprise data platforms, APIs, and modern data stacks.
  • Define and enforce Responsible AI principles, including fairness, explainability, and bias mitigation.
  • Design and implement MLOps/LLMOps frameworks for CI/CD, versioning, and monitoring.
  • Provide architectural leadership and mentorship to data scientists and ML engineers.

Requirements

Education: A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: A minimum of 8 years in data, analytics, or platform architecture roles is necessary, including at least 4 years designing and implementing AI/ML solutions at scale. Proven experience deploying AI models into production environments is also required.

Technical Skills: Candidates must have strong knowledge of Machine Learning, Deep Learning, and Generative AI concepts, along with proficiency in Python and SQL. Experience with cloud AI platforms (Azure, AWS, Google Cloud Platform), MLOps tools, and data engineering platforms like DataStage or Spark is required. An understanding of APIs, microservices, and containers is also necessary., * Experience with Large Language Models (LLMs), prompt engineering, vector databases, and RAG architectures.

  • Experience in financial services or other regulated industries.
  • Certifications in cloud architecture, AI/ML, or data platforms.
  • Experience building AI Centers of Excellence or AI enablement programs.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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