Senior AI Architect

Senior AI Architect – Data & AI Advisory

Company: Infocepts
Location: New Jersey, USA (Preferred)
Employment Type: Full-Time
Travel: Up to 20% / approximately once a month
Experience: 15+ years overall, including 3+ years in enterprise AI/ML/GenAI architecture

About the Role

Infocepts is looking for an experienced Senior AI Architect to help enterprise clients design and implement scalable AI, Generative AI, Agentic AI, and Data solutions that address meaningful business problems.

This is a senior client-facing role combining hands-on architecture, technical leadership, AI advisory, and solution delivery . The architect will work closely with Chief AI Officers (CAIOs), Heads of Data & AI, Enterprise Architects, Data Platform Leaders, and delivery teams to define AI strategies, design scalable architectures, and guide solutions from initial requirements through production implementation.

The ideal candidate should have a strong foundation in Data & AI platforms , hands-on experience building enterprise AI solutions, and the ability to clearly communicate architectural decisions, trade-offs, and business value to both technical and non-technical stakeholders.

Key Responsibilities

AI & Solution Architecture

• Design end-to-end AI, GenAI, Agentic AI, and Data platform architectures for enterprise customers.
• Lead architecture from business requirements and solution design through production implementation .
• Define and establish AI governance, security, observability, and Responsible AI frameworks .
• Drive architectural decisions across data, models, applications, and infrastructure .
• Evaluate emerging AI technologies, foundation models, frameworks, and tools .

Client Engagement & Delivery

• Lead architecture workshops and discovery sessions with senior client stakeholders.
• Work directly with CAIOs, Enterprise Architects, Heads of Data & AI, and AI leadership teams .
• Participate in prototypes, Proof of Concepts (PoCs), and production deployments .
• Collaborate with Data Engineering, Analytics, Application Development, and Cloud teams .
• Translate business requirements into scalable and production-ready AI solutions.

Practice Development & Leadership

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

Required Experience & Skills

• 15+ years of experience across Data, Analytics, Data Engineering, AI, or related solution delivery.
• At least 3+ years of experience designing enterprise-scale AI, Machine Learning, GenAI, or Intelligent Automation solutions .
• Proven experience architecting and delivering production-grade AI solutions with measurable business outcomes.
• Strong knowledge of LLMs, RAG, Agentic AI, AI governance, and production AI deployment patterns .
• Hands-on experience with modern Data & AI platforms , including:
  • Databricks
  • Snowflake
  • Microsoft Azure
  • AWS
• Strong experience leading architecture discussions, discovery workshops, and solution-design engagements .
• Strong client-facing communication skills with the ability to explain complex AI architecture to senior technical and business stakeholders.

What Success Looks Like

The successful candidate will:

• Architect AI solutions that deliver measurable business outcomes.
• Become a trusted AI and architecture advisor to enterprise clients.
• Accelerate adoption of AI platforms and modern data ecosystems .
• Build reusable architectures and accelerators that improve delivery quality and speed.
• Help shape and expand Infocepts' enterprise AI and GenAI capabilities .

Core Profile to Target

Senior/Principal AI Architect with strong enterprise AI architecture + GenAI/LLM + RAG + Agentic AI + Data Platforms + Cloud + client advisory experience, ideally currently designing and delivering production-grade AI solutions and engaging directly with senior enterprise stakeholders.