AI/ML Architect

Job#: 3027737

Job Description:
AI/ML Architect

Location: Pennington, New Jersey (Hybrid)

Employment Type: Contract

Contract Duration: 12 Months

Role Overview

We are seeking an AI/ML Architect to lead the design and implementation of end-to-end AI/ML solutions. This role involves defining enterprise AI reference architectures, partnering with business and engineering leaders to translate use cases into technical solutions, and ensuring all architectures support scalability, performance, and security. The ideal candidate will guide AI adoption and establish best practices across the organization.

Key Responsibilities

• Design end-to-end AI/ML architectures, including data ingestion, feature engineering, model development, deployment, and monitoring.
• Define enterprise AI reference architectures for GenAI, ML, NLP, and predictive analytics use cases.
• Select and standardize AI platforms, frameworks, and tools.
• Partner with business, data, and engineering leaders to translate use cases into technical AI solutions.
• Collaborate with data architecture teams to ensure data quality, lineage, and governance for AI workloads.
• Define and enforce Responsible AI principles, including fairness, explainability, and bias mitigation.
• Design and implement MLOps/LLMOps frameworks for CI/CD, versioning, monitoring, and retraining.
• Provide architectural leadership and mentorship to data scientists and ML engineers.

Required Qualifications

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, with at least 4 years designing and implementing AI/ML solutions at scale. Proven experience deploying AI models into production environments is necessary.

Technical Skills:

• Strong knowledge of Machine Learning, Deep Learning, and Generative AI concepts.
• Proficiency in Python and SQL; familiarity with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud AI platforms (Azure, AWS, Google Cloud Platform) and MLOps tools.
• Experience with data engineering and ETL platforms like Informatica, DataStage, or Spark.
• Understanding of APIs, microservices, containers, and orchestration.
• Solid grasp of enterprise architecture principles and experience with AI governance, model risk, and regulatory compliance.

Preferred Qualifications

• Experience with Large Language Models (LLMs), prompt engineering, vector databases, and RAG architectures.
• Experience in financial services, healthcare, or other regulated industries.
• Certifications in cloud architecture, AI/ML, or data platforms.
• Experience building AI Centers of Excellence or AI enablement programs.

Work Environment

This position requires a hybrid schedule with a minimum of 3 days per week on-site.

This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Apex uses a virtual recruiter as part of the application process. Click for more details.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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 ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.