Data & AI-ML Solution Architect
Listed on 2026-08-05
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Data Scientist
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.
Skills:
- Data Science:
Python, SQL, C++, Pandas, Scikit-learn, Tensor Flow, 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
- 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.
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