# Envision Technology Solutions — Gen AI Architect

- Generated: 2026-09-10 06:28:16 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4465335518/
- Provider: LinkedIn
- Posted: approximately 2026-09-09 06:28 PM EDT (from '12 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: Be among the first 25 applicants
- Work model/location: United States; remote status not verified in the role text or accessible listing metadata
- Compensation: Not disclosed
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 88%

## Direct-match strengths

AWS application and AI architecture, cloud-native systems, Bedrock, SageMaker, data lakes, APIs, enterprise consulting, GenAI, RAG, and agentic delivery.

## Hard or material gaps

Hard compensation-policy failure: compensation is undisclosed for a non-Director/VP/Chief title. The posting also provides no verifiable role-specific remote designation.

## Evidence map

1. AWS application and AI architecture (weight 3, evidence 3/3) — Direct AWS architecture, implementation, operations, and enterprise advisory experience.
2. GenAI, agents, and LLMOps (weight 3, evidence 3/3) — Direct production LLM, RAG, agent, evaluation, and orchestration evidence.
3. Cloud-native applications, APIs, and integrations (weight 3, evidence 3/3) — Direct microservices, REST APIs, distributed systems, and enterprise integration evidence.
4. Enterprise data platforms (weight 2, evidence 3/3) — Direct AWS data lakes, ETL, Spark, analytics, and data architecture.
5. Client-facing technical leadership (weight 2, evidence 3/3) — Advised 200+ AWS enterprise customers and led consulting delivery.
6. Compensation and work model (weight 3, evidence 0/3) — Compensation is undisclosed and remote status is not verified.

## Full normalized job description

Job Title: GenAI Architect
About the Role:
We are looking for a
Solution Architect (AWS | Application & AI/ML/Generative AI)
to design and deliver enterprise-scale solutions for a strategic client.
The ideal candidate will be a
blend of an Application Architect and an AI/ML/Generative AI Architect
, with the ability to design robust cloud-native applications while driving innovation through
Agentic AI and emerging AI technologies
.
Key Responsibilities
Translate client
business problems into end-to-end solution architectures
.
Design
cloud-native applications and AI-driven solutions
using AWS services.
Create
solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD)
.
Architect and guide the delivery of
Generative AI and Agentic AI solutions
(AWS Bedrock, SageMaker, LLMOps).
Define
data pipelines and integration patterns
using AWS-native services.
Ensure solutions follow
AWS Well-Architected best practices
for scalability, performance, and security.
Act as a
technical leader
for engineering teams, ensuring design-to-delivery alignment.
Stay ahead of
emerging AI/ML technologies
and bring innovative approaches to client engagements.
Collaborate with
business and IT stakeholders
to align technology with business goals.
Skills & Experience
Strong experience in
application architecture
(cloud-native, microservices, APIs, integration patterns).
Hands-on expertise with
AWS services
for applications, data, and AI/ML.
Strong knowledge of
Generative AI, Agentic AI, and LLMOps
.
Proven ability to create
end-to-end solution designs (HLD/LLD)
and lead technical delivery.
Experience in
enterprise data platforms
(data lakes, ETL, analytics) on AWS.
Excellent
consulting, communication, and client-facing skills
.
Preferred Certifications
AWS Solution Architect – Professional
(or Associate as minimum).
AWS Machine Learning – Specialty
.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No