Senior AI Architect

InfoCepts; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

InfoCepts is seeking an experienced AI Architect to help clients design and implement enterprise-scale AI, Generative AI, and Data solutions that solve meaningful business problems. This role blends hands-on architecture, technical leadership, and client engagement with senior data and AI leadership teams.

The ideal candidate has a strong foundation in Data and AI platforms, practical AI solution delivery experience, and the ability to articulate architectural decisions and business value to

Responsibilities

• Design end-to-end AI, GenAI, Agentic AI, and Data platform architectures for enterprise customers.
• Lead solution architecture from business requirements through production implementation.
• Establish AI governance, security, observability, and responsible AI frameworks.
• Drive architecture decisions across data, model, application, and infrastructure layers.
• Lead architecture workshops and discovery sessions with senior stakeholders.
• Participate in prototyping, proofs-of-concept, and production deployments.
• Evaluate emerging AI technologies, foundation models, frameworks, and tooling.
• Collaborate with Data Engineering, Analytics, Application Development, and Cloud teams.
• Partner with CAIOs, Enterprise Architects, and AI leadership teams to share AI initiatives.
• Contribute to reusable accelerators, reference architectures, and AI frameworks.
• Support strategic pursuits, proposal development, and client presentations.
• Mentor engineers, architects, and consultants across AI and Data disciplines.
• Contribute to growth of AI offerings and thought leadership.

Job description

Work Location: Remote (Preferably NJ, USA | Toronto, Canada)

Travel: Once a month (Upto 20%)

Type of Employment: Full time

About the role

We are seeking an experienced AI Architect to help clients design and implement enterprise-scale AI, Generative AI, and Data solutions that solve meaningful business problems.

This role combines hands-on architecture, technical leadership, and client engagement. You will work closely with Head of Data & AI organizations, Chief AI Officers (CAIOs), Enterprise Architects, Data Platform leaders, and delivery teams to shape AI strategies, architect scalable solutions, and guide successful implementations.

The ideal candidate brings strong foundations in Data and AI platforms, practical experience building AI solutions, and the ability to clearly articulate architectural decisions, trade-offs, and business value to both technical and non-technical stakeholders.

Key Responsibilities

• Design end-to-end AI, GenAI, Agentic AI, and Data platform architectures for enterprise customers.
• Lead solution architecture from business requirements through production implementation.
• Establish AI governance, security, observability, and responsible AI frameworks.
• Drive architecture decisions across data, model, application, and infrastructure layers.

Client Engagement & Delivery

• Lead architecture workshops, discovery sessions with senior stakeholders.
• Participate in prototyping, proof-of-concepts, and production solution deployments.
• Evaluate emerging AI technologies, foundation models, frameworks, and tooling.
• Collaborate closely with Data Engineering, Analytics, Application Development, and Cloud teams.
• Partner with CAIOs, Enterprise Architects, and AI leadership teams to share AI initiatives.

Practice Development

• Contribute to reusable accelerators, reference architectures, solution assets, and AI frameworks.
• Support strategic pursuits, proposal development, and client presentations.
• Mentor engineers, architects, and consultants across AI and Data disciplines.
• Contribute to the growth of the organization's AI offerings and thought leadership

Work and Technical Experience

• 15+ years of experience in Data, Analytics, Data Engineering, or AI solution delivery.
• 3+ years designing enterprise-scale AI, Machine Learning, GenAI, or Intelligent Automation solutions.
• Proven experience leading architecture for production-grade AI solutions delivering business outcomes.
• Strong understanding of modern AI architectures, including LLMs, RAG, Agentic AI, AI governance, and production deployment patterns.
• Hands‑on experience with modern Data & AI platforms such as Databricks, Snowflake, Azure, and AWS.
• Experience leading architecture discussions, discovery workshops, and solution design engagements.

Success in this role look like

• Architect AI solutions that drive measurable business outcomes.
• Become a trusted advisor to client AI and architecture teams.
• Accelerate adoption of AI platforms and modern data ecosystems.
• Develop reusable assets that improve delivery quality and speed.
• Help shape the future of the organization's AI capabilities.