Principal AI Solutions Architect
New
Based in the United StatesFull-TimePrincipal
SalaryCompetitive compensation package, including salary, equity participation, and performance-based incentives.
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Job Details
- Experience
- Minimum of 10 years of experience
- Required Skills
- Cloud ComputingRESTful APIsGenerative AI
Requirements
- Minimum of 10 years of experience in Solution Architecture, Enterprise Architecture, Platform Engineering, Technology Consulting, or related disciplines.
- At least 5 years of hands-on experience designing and implementing AI, machine learning, generative AI, or Agentic AI solutions in production environments.
- Demonstrated success delivering innovative enterprise solutions, including 0-to-1 product development or large-scale transformation initiatives.
- Extensive experience supporting enterprise customers through discovery, solution design, implementation, and adoption phases.
- Strong expertise in designing and deploying multi-agent systems, intelligent workflows, and enterprise AI applications.
- Deep understanding of enterprise integrations, APIs, data architectures, workflow orchestration, and distributed systems.
- Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, Agentforce, OpenAI Agents SDK, or similar technologies.
- Knowledge of Model Context Protocol (MCP), Agent-to-Agent (A2A) communication models, AI governance principles, and responsible AI practices.
- Experience with Retrieval-Augmented Generation (RAG), vector databases, enterprise knowledge systems, and AI-driven search architectures.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Excellent communication, presentation, and stakeholder management skills.
Responsibilities
- Lead customer discovery sessions, executive workshops, and strategic discussions to identify opportunities for AI-driven transformation and value creation.
- Design and architect enterprise-grade Agentic AI solutions that address complex service, operational, and workflow challenges.
- Develop and deploy multi-agent systems capable of autonomous reasoning, orchestration, planning, and decision-making.
- Translate business processes and operational requirements into scalable AI-powered workflows that improve productivity, efficiency, and customer outcomes.
- Define integration architectures connecting AI solutions with enterprise applications, APIs, knowledge repositories, CRM systems, and operational platforms.
- Partner with stakeholders throughout the customer lifecycle to ensure successful implementation, adoption, and realization of business value.
- Collaborate closely with product, engineering, and AI teams to influence platform capabilities and drive innovation.
- Establish best practices for AI governance, observability, security, guardrails, and responsible AI deployment frameworks.
- Provide technical leadership and strategic guidance from solution design through production rollout and long-term scaling initiatives.
- Act as a trusted advisor to executive leaders, architects, and technical teams, fostering alignment between business objectives and AI capabilities.
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