5-7 years of experience in AI solutions architecture or related fields
Advanced proficiency in Python and Google Apps Script
Experience with API integrations and AI pipeline architecture
Strong understanding of MLOps best practices
Background in marketing is a plus
Ability to manage cross-functional stakeholder relationships
15-30 years of overall work experience required
Responsibilities
Partner with stakeholders to identify and address operational challenges
Translate complex business needs into actionable technical requirements
Oversee the complete delivery of AI-driven services
Architect complex AI pipelines and multi-agent orchestrations
Lead innovation initiatives while enforcing MLOps best practices
Manage relationships with cross-functional teams to ensure alignment
Deliver measurable business ROI through technical application logic
Benefits
Opportunity to work in a hybrid role combining consulting and technical execution
Engagement with high-level business strategy and hands-on technical projects
Access to cutting-edge AI technologies and tools
Collaboration with diverse teams across the organization
Potential for career growth in a rapidly evolving field
Full Job Description
Title: AI Solutions Architect
Location : Basking Ridge, NJ
Job Description:
Job Requirements AI Solutions Architect - Job Description
Role Overview: Act as a "builder-consultant" hybrid, bridging high-level business strategy with hands-on technical execution to design and deploy secure, scalable AI assets and enterprise-grade autonomous workflows.
Mandatory - Resource should be visiting the client office 3 times a week in NJ, Basking Ridge.
Key responsibilities
Partner with stakeholders to diagnose operational pain points, translate complex business needs into technical requirements, and oversee the end-to-end delivery of AI-driven services.
Technical Competencies: Demonstrate advanced proficiency in Python and Google Apps Script for API integrations, utilizing tools like Claude Code to accelerate development, while architecting complex AI pipelines and multi-agent orchestrations.
Strategic/Consulting Competencies: Lead enterprise-scale innovation by enforcing MLOps best practices, managing cross-functional stakeholder relationships, and translating technical application logic into measurable business ROI.
Candidate having prior experience working in the Marketing space is an added advantage.
