AI Architect
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AI Architect
140,000–190,000 / Year
Location
US
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Architect based in the United States.
This role offers the opportunity to design and deliver advanced AI solutions for enterprise clients while shaping the future of intelligent systems.
You will serve as a hands-on technical architect, owning AI solution design from discovery through delivery and knowledge transfer.
The position focuses on building production-ready generative AI and agentic systems across leading AI platforms and cloud technologies.
You will collaborate with senior architects, engineers, and client stakeholders to solve complex business challenges through innovative AI architectures.
This is an ideal opportunity for a technically driven professional who enjoys experimentation, consulting, and turning emerging AI capabilities into real-world applications.
You will have the autonomy to influence best practices, contribute to reusable AI frameworks, and grow your impact as an AI leader.
### Accountabilities:
- Own the architecture and technical direction of AI engagements, including discovery, solution design, delivery oversight, and knowledge transfer across client projects.
- Act as a trusted technical advisor for client stakeholders, leading workshops, design reviews, and architecture discussions with clarity and confidence.
- Design and implement advanced AI solutions, including agentic systems, retrieval-augmented generation (RAG) pipelines, and AI-powered workflows using platforms such as Azure AI, OpenAI, and Anthropic technologies.
- Evaluate and select the right AI tools and frameworks based on client needs, focusing on practical outcomes rather than platform preferences.
- Contribute to reusable reference architectures, AI skills, prompts, tools, and integration patterns that improve delivery capabilities across engagements.
- Support the continued growth of AI capabilities through enablement materials, technical demonstrations, internal knowledge sharing, and best-practice development.
- Partner with senior architects and engineering teams to review designs, troubleshoot technical challenges, improve evaluation strategies, and strengthen AI system reliability.
- Translate complex business objectives into scalable technical solutions while communicating effectively with both technical and executive audiences.
- Contribute to internal intellectual property through documentation, demonstrations, architecture guidance, and team training initiatives.
## Requirements:
- 4+ years of experience in enterprise software, data, or AI architecture, including at least 1 year of experience designing or delivering generative AI or agentic systems.
- Proven experience owning significant technical initiatives as a technical lead, senior engineer, architect, or consultant in complex, multi-stakeholder environments.
- Strong ability to communicate technical concepts to both engineering teams and business stakeholders through presentations, workshops, and architecture documentation.
- Hands-on experience with the Azure AI ecosystem, including Azure OpenAI, Azure AI Foundry/AI Studio, AI Search, Document Intelligence, and orchestration frameworks such as Semantic Kernel, LangGraph, or similar tools.
- Demonstrated experience with the OpenAI platform, including Responses API, Agents SDK, function calling, structured outputs, and evaluation approaches.
- Demonstrated experience with the Anthropic ecosystem, including Claude API, tool use, Claude Agent SDK, MCP, and related agent development patterns.
- Strong software engineering foundation with the ability to write, review, and understand production code.
- Experience designing AI systems involving tool usage, multi-step workflows, agent orchestration, evaluation strategies, guardrails, and performance trade-offs.
- Active engagement with AI technologies through production implementations, prototypes, research, experimentation, or technical projects.
- Ability to work remotely within the United States with reliable availability during Eastern and Central business hours.
- Microsoft certification experience, including Azure AI Engineer Associate certification or willingness to obtain certification within 90 days of joining.
- Additional experience with Microsoft Fabric, Power Platform, Copilot Studio, AI evaluation frameworks, responsible AI practices, regulated industries, RAG systems, fine-tuning, vector search optimization, multimodal AI, or consulting environments is highly valued.
## Benefits:
- Competitive compensation range of $140,000 – $190,000 USD, with regional adjustments for Canada-based employees.
- Fully remote work environment with flexible working arrangements.
- Comprehensive health, dental, and vision insurance coverage.
- Employer-covered medical premiums for employees.
- Flexible paid time off (PTO) to support work-life balance.
- Retirement plan options.
- Professional development opportunities, including support for certifications and continuous learning.
- Dedicated time to explore emerging AI technologies and develop innovative solutions.
- Collaborative environment focused on growth, knowledge sharing, and impactful client work.
- Opportunities to work on cutting-edge AI projects across enterprise industries.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Key Responsibilities
- Own architecture and technical direction for AI engagements including discovery, design, and delivery.
- Act as a trusted technical advisor for client stakeholders through workshops and design reviews.
- Design and implement advanced AI solutions such as agentic systems and RAG pipelines.
- Evaluate and select AI tools and frameworks based on client needs.
- Contribute to reusable reference architectures, AI skills, and integration patterns.
- Support AI capability growth through enablement materials and technical demonstrations.
- Partner with engineering teams to review designs and improve system reliability.
- Translate business objectives into scalable technical solutions.
- Contribute to internal intellectual property through documentation and team training.
Requirements
- Microsoft Azure AI Engineer Associate certification or willingness to obtain within 90 days
Skills Required
Azure AIAzure OpenAIAzure AI FoundryAzure AI StudioAzure AI SearchAzure Document IntelligenceSemantic KernelLangGraphOpenAI PlatformOpenAI Responses APIOpenAI Agents SDKAnthropic PlatformClaude APIClaude Agent SDKMCPGenerative AIAgentic SystemsRAG PipelinesAI WorkflowsSoftware EngineeringProduction CodeCommunicationLeadershipProblem solvingConsultingCollaborationPresentation skillsMicrosoft FabricPower PlatformCopilot StudioAI evaluation frameworksResponsible AI practicesRAG systemsFine-tuningVector search optimizationMultimodal AI
Benefits
- Competitive compensation
- Fully remote work
- Flexible working arrangements
- Health insurance
- Dental insurance
- Vision insurance
- Employer-covered medical premiums
- Flexible paid time off
- Retirement plan
- Professional development support
- Certification support
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