Data & AI-ML Solution Architect

Navikenz; New Jersey; On-site; USD 180,000 - 240,000; Full time

Job summary

Navikenz seeks an accomplished Data & AI-ML Solution Architect to design scalable, secure AI/ML architectures and lead cross-functional teams through digital transformation initiatives.

You will guide problem framing, data ingestion, model deployment, and MLOps, collaborating with clients in government, life sciences, financial services, and retail to realize measurable business outcomes.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 15+ years of experience in AI/ML, data engineering, or related domains.
• Proven experience leading large technical teams and managing enterprise-scale AI platforms.
• Strong communication and consulting skills, with the ability to bridge technical and business discussions.

Responsibilities

• Lead end-to-end AI/ML solution design and delivery—from problem definition, data ingestion, and feature engineering to model build, deployment, monitoring, and retraining.
• Architect and evolve enterprise-grade data and ML platforms enabling modular, reusable, and scalable analytics and intelligence solutions.
• Provide strategic technical and business consulting to clients across industries such as Government, Life Sciences & Healthcare, Financial Services/Fintech, Retail, and Technology.
• Drive MLOps initiatives, ensuring efficient model management and lifecycle automation.
• Collaborate with product development, engineering, and business teams to translate business goals into actionable AI/ML solutions.
• Oversee the implementation of testing, personalization, and measurement frameworks supporting AI-driven user experiences.

Skills

Cross-functional leadership

Communication

Strategic consulting

Education

Bachelor’s or Master’s in CS/DS/Engineering

Tools

Python

SQL

C++

Pandas

Scikit-learn

TensorFlow

Keras

PyTorch

Visualization tools

SDLC/Agile

Project management

Roadmap planning

Job description

Navikenz is seeking an accomplished Data & AI-ML Solution Architect—a technology-forward Architect motivated by the opportunity to work in a differentiated, innovative environment, and to architect impactful solutions for clients in digital transformation initiatives leveraging artificial intelligence and machine learning. The ideal candidate will have deep expertise across the full ML lifecycle and a proven track record in leading cross-functional teams to deliver impactful business outcomes through data, technology, and innovation.

This role will address complex business challenges by designing scalable, secure, and reliable AI/ML architectures, ensuring strategic alignment, vision realization, and partnership with client's stakeholder groups.

Key Responsibilities:

• Lead end-to-end AI/ML solution design and delivery—from problem definition, data ingestion, and feature engineering to model build, deployment, monitoring, and retraining.
• Architect and evolve enterprise-grade data and ML platforms enabling modular, reusable, and scalable analytics and intelligence solutions.
• Provide strategic technical and business consulting to clients across industries such as Government, Life Sciences & Healthcare, Financial Services/Fintech, Retail, and Technology.
• Drive MLOps initiatives, ensuring efficient model management and lifecycle automation.
• Collaborate with product development, engineering, and business teams to translate business goals into actionable AI/ML solutions.
• Oversee the implementation of testing, personalization, and measurement frameworks supporting AI-driven user experiences.

Technical Skills:

• Data Science: Python, SQL, C++, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch; expertise in ML/DL/NLP/CV
• Data Engineering: Databases, compute optimization, end-to-end pipeline architecture, visualization tools
• Software Development: SDLC, Agile methodologies, project management, roadmap planning
• Business Analytics: AI vision, data strategy, testing, personalization, measurement, and research methodologies

Qualifications:

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 15+ years of experience in AI/ML, data engineering, or related domains.
• Proven experience leading large technical teams and managing enterprise-scale AI platforms.
• Strong communication and consulting skills, with the ability to bridge technical and business discussions.