AI Solution Architect
AI Solution Architect
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Job Description
AI Solution Architect
EdisonNJ/ NYCNY
Full Time Position
Job Summary:
We are seeking an experienced and visionary AI Solution Architect to lead the design and implementation of cutting-edge AI solutions across our organization. This role requires a deep understanding of AI/ML technologies cloud platforms data architecture and enterprise integration. The ideal candidate will bridge the gap between business needs and technical ensuring scalable secure and high-performing AI systems.
Key Responsibilities:
Solution Design & Architecture
Design end-to-end AI/ML solutions tailored to business requirements.
Define architecture blueprints data pipelines model deployment strategies and integration patterns.
Ensure scalability performance and security of AI systems.
Stakeholder Collaboration
Work closely with data scientists engineers product managers and business leaders.
Translate business problems into AI-driven solutions and technical specifications.
Technology Leadership
Evaluate and recommend AI tools frameworks and platforms.
Stay current with AI trends research and emerging technologies.
Lead proof-of-concept initiatives and pilot projects.
Governance & Compliance
Ensure AI solutions comply with data privacy ethical AI and regulatory standards.
Establish best practices for model governance monitoring and lifecycle management.
Mentorship & Guidance
Mentor junior architects and technical teams.
Promote a culture of innovation and continuous learning.
Required Qualifications:
Bachelors or Masters degree in Computer Science Data Science Engineering or related field.
10 years of experience in software architecture with 2 years in AI/ML solution design.
Proficiency in AI/ML frameworks
Strong knowledge of cloud platforms Azure) and MLOps tools (Kubeflow MLflow SageMaker).
Strong knowledge on autonomous intelligence platforms like Coginiti AI Sisense or AthenaIntel
Experience with data engineering APIs microservices and containerization (Docker Kubernetes).
Excellent communication and stakeholder management skills.
Preferred Qualifications:
Experience with GenAI LLMs and NLP technologies.
Certifications in cloud architecture or AI/ML (e.g. AWS Certified Machine Learning Google Cloud AI Engineer).
Familiarity with responsible AI practices and model interpretability tools.
Why Join Us
Work on transformative AI initiatives with global impact.
Collaborate with top-tier talent in a dynamic and innovative environment.
Access to continuous learning certifications and career growth opportunities.
Venkat Ramana
Mprogen Systems
Email:
Phone: 972 474- 3201
(Fax)
APIS , AZURE , SAGEMAKER , AI , DATA ARCHITECTURE , DOCKER , KUBERNETES
Employment Type
Full Time
