Principal AI Strategist & Solution Architect
New
A
AI Technology Partners (AITP)Enterprise AI
Remote, US-based candidates preferred., The role may involve working across multiple time zones.Full-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 10–15+ years of experience in enterprise technology, consulting, or solution architecture roles
- Required Skills
- AWSGCPAzurePrompt EngineeringMLOpsGenerative AI
Requirements
- 10–15+ years of experience in enterprise technology, consulting, or solution architecture roles.
- Expert-level usage of generative AI tools such as Claude, ChatGPT, Gemini, and Copilot.
- Experience designing and building AI solutions, including PoCs, MVPs, and production systems.
- Strong enterprise architecture background, including cloud platforms, security, networking, and integration patterns.
- Experience with Azure, AWS, or GCP.
- Demonstrated success in client-facing roles with ownership of pre-sales and delivery.
- Experience translating complex business requirements into scalable technical solutions.
- Experience with RAG architectures, vector databases, prompt engineering, and LLMOps/MLOps practices.
- Ability to engage technical and non-technical stakeholders.
- Familiarity with agentic systems and orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen is a plus.
- Experience with enterprise platforms such as ServiceNow, or similar ecosystems, is a plus.
- Cloud or AI platform certifications are a plus.
Responsibilities
- Advise client executives and senior stakeholders on AI strategy, opportunities, and solution approaches.
- Lead workshops, discovery sessions, and requirements analysis to define high-value use cases.
- Lead pre-sales solutioning, including proposals, statements of work, demos, proofs of concept, and technical deep dives.
- Design enterprise-grade generative AI solutions across cloud platforms and client constraints.
- Build and prototype solutions using generative AI tools and emerging frameworks.
- Lead architecture for LLM orchestration, RAG pipelines, vector databases, APIs, and AI gateways.
- Guide engineering teams through implementation while maintaining architectural integrity and business alignment.
- Establish engagement governance, milestones, and success metrics, and support operationalization and adoption.
- Contribute to internal IP, frameworks, repeatable solutions, and go-to-market strategies.
- Mentor internal teams and represent AITP in client engagements and industry conversations.
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