# Top Prospect Group — Artificial Intelligence Architect

- Generated: 2026-09-10 06:48:29 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4465068719/
- Provider: LinkedIn
- Posted: approximately 2026-09-09 11:48 AM EDT (from '19 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: 49 applicants
- Work model/location: Full-time remote — East Coast United States; Keith is in Boston
- Compensation: $130,000-$200,000 base
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: BORDERLINE — 92%

## Direct-match strengths

Hands-on production AI applications, LLMs, agents, agentic workflows, Python, APIs, data pipelines, AWS, evaluation, CI/CD, observability, security, mentoring, React, and AI-assisted development.

## Hard or material gaps

Material overqualification risk: the $200,000 ceiling and individual-contributor Architect scope sit below Keith's recent founder/VP/Director scope. Azure, C#, Snowflake, and TypeScript are optional; they are not claimed. Exact compensation would need to land at the top of the range.

## Evidence map

1. Production AI application architecture (weight 3, evidence 3/3) — Built and operates the production AssistX platform.
2. LLMs, agents, and agentic workflows (weight 3, evidence 3/3) — Direct hands-on LLM, RAG, agent, tool, and orchestration implementation.
3. Python, APIs, pipelines, and cloud-native systems (weight 3, evidence 3/3) — Direct Python, FastAPI, REST, AWS, distributed-system, and data-pipeline evidence.
4. Testing, evaluation, deployment, and operations (weight 3, evidence 3/3) — Direct AI evaluation, CI/CD, security, observability, and 99.9% uptime evidence.
5. Technical leadership and mentoring (weight 2, evidence 3/3) — Led teams up to 25 and mentored engineers in architecture and AI-assisted development.
6. AI-assisted engineering (weight 2, evidence 3/3) — More than half of AssistX was built with code-generation tools including Codex.
7. Azure/C#/Snowflake/TypeScript (weight 1, evidence 1/3) — Optional technologies; React and Snowflake are supported, but the other named tools are not claimed.
8. Level and compensation (weight 3, evidence 2/3) — Technically strong, but scope and ceiling create material overqualification risk.

## Keyword diagnostic

Strong direct coverage of the central production-AI mandate; optional Microsoft-stack terms are deliberately excluded.

## Full normalized job description

Turn AI innovation into real-world software.
FT
Remote Must be on the East Coast
$130-200K based on experience
Technically mentorship experience, AI Development, LLM, AI agents, agentic workflows, AI powered applications, Python, Typescript
We are seeking a hands-on AI technical leader to lead the design and development of AI-powered applications and intelligent software solutions. This is a highly hands-on role for someone who enjoys building, experimenting, and turning emerging AI technologies into reliable, production-ready products.
You will take ownership of major AI initiatives while helping define architecture, development standards, and modern engineering practices. The ideal candidate brings strong software engineering fundamentals, practical experience with generative AI and LLMs, and the ability to lead technical initiatives across product teams.
What You'll Do
Lead the design, development, and delivery of AI-powered applications and intelligent software solutions.
Architect and build
LLM-powered applications, AI agents, and agentic workflows
.
Integrate AI capabilities into existing products and engineering processes.
Evaluate and implement AI models, tools, and frameworks based on business and technical requirements.
Develop scalable architectures for AI applications, including APIs, data pipelines, and supporting services.
Establish best practices for AI application development, testing, evaluation, and deployment.
Mentor engineers and provide technical guidance across AI and software development teams.
Partner with product, engineering, and business stakeholders to identify practical AI opportunities.
Improve developer productivity through AI-assisted development tools and modern engineering workflows.
Contribute to CI/CD, observability, security, and operational readiness for AI-powered applications.
What We're Looking For
8+ years of professional software engineering experience, with strong experience building production software.
Proven experience developing
AI-powered applications, generative AI solutions, or LLM-based products
.
Practical experience with
agentic AI, AI agents, or LLM workflows
.
Strong software engineering fundamentals, including architecture, APIs, testing, and deployment.
Experience with
Python and/or TypeScript
for AI application development.
Experience integrating AI models and services through APIs and modern AI frameworks.
Strong understanding of cloud-native architectures and production software systems.
Proven ability to lead technical initiatives, mentor engineers, and influence architecture across teams.
Experience with
Azure, C#, SQL, and Snowflake
is a plus.
Experience with front-end development, React, or mobile applications is a plus.

## Artifact metadata

- Resume: https://bit.ly/4ihs6Wk
- Cover letter: https://bit.ly/4gZ9M1Q
- Validation: PASS — 2-page resume (941 words), 1-page cover letter (233 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No