AI Solution Architect

AI Solution Architect

Edison,NJ / NYC,NY

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 execution, 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 :

Bachelor's or Master's 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 : venkat@mprogen.com

Phone :  (972) 474- 3201

469-575-3262 (Fax)

www.mprogen.com