# Quantum World Technologies Inc. — AWS GenAI Director

- Generated: 2026-08-26 10:37:31 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4459063697/
- Provider: LinkedIn
- End-client engagement named in posting: Aegon
- Posted: LinkedIn displayed “15 hours ago” at 2026-08-26 10:31 AM EDT (approximately 2026-08-25 07:31 PM EDT)
- Elapsed time since posting at generation: Approximately 15 hours
- Applicants: Be among the first 25 applicants
- Work model/location: Remote, United States; the responsibilities also call this a strategic “onsite leader,” creating an onsite/travel ambiguity
- Employment type: Full-time/permanent
- Compensation: Not disclosed; Director title qualifies for evaluation under Keith's current criteria
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 86% weighted coverage, overridden by one mandatory hard gap; Keith explicitly authorized application-material generation on 2026-08-26
- Application package generated: 2026-08-26 10:49:45 AM EDT

## Central mandate

Lead the AWS Launchpad engagement for Aegon as an executive GenAI transformation and program leader: industrialize Amazon Bedrock and AgentCore, establish enterprise governance and reusable delivery standards, align roadmaps to business outcomes, and govern cross-functional global delivery from pilots through production.

## Direct-match strengths

Keith has unusually strong direct evidence for most of the mandate: 15 years of AWS experience; executive advisory to 200+ enterprise customers; hands-on Amazon Bedrock AgentCore and CDK delivery; production RAG, agents, and agentic workflows; enterprise AI and cloud transformation; regulated insurance and financial-services experience; responsible AI, security, compliance, risk, and governance; reusable AI platform architecture; global enablement; and quantified program delivery.

## Hard or material gaps

The posting lists strong working knowledge of AWS Launchpad as mandatory. Keith's source resume and full career context contain no AWS Launchpad experience. His extensive AWS adoption, platform, executive advisory, and transformation record is highly adjacent, but the fit gate forbids substituting adjacent experience for an explicitly mandatory platform or methodology requirement.

The phrase “strategic onsite leader” also conflicts somewhat with the posting's Remote label. Required onsite presence and travel are not quantified, so this is a caveat rather than the decisive failure reason.

## Evidence map

Weighted scoring uses 3 = direct/recent/outcome-backed, 2 = direct but older or less measurable, 1 = adjacent/transferable, and 0 = unsupported. Requirement weights are 3 = essential, 2 = important, and 1 = preferred.

1. Executive client leadership and trusted-advisor relationships — weight 3, evidence 3/3: advised 200+ AWS enterprise customers and senior stakeholders; repeated C-suite and enterprise transformation leadership.
2. Strong working knowledge of AWS Launchpad — weight 3, evidence 0/3: explicitly mandatory and unsupported in the source record. This is the hard gap.
3. Amazon Bedrock, AgentCore, and AWS cloud services — weight 3, evidence 3/3: hands-on Bedrock AgentCore customer-service agent using Strands, deployed to AgentCore Runtime with AWS CDK; deep AWS architecture and operations experience.
4. Large-scale cloud and AI transformation programs — weight 3, evidence 3/3: enterprise AWS adoption work across 200+ customers plus AI, governance, data-lake, and SaaS transformation programs.
5. GenAI platform industrialization, reusable patterns, and production transition — weight 3, evidence 3/3: AssistX production platform, 70+ automations across 20+ workflows, reusable multi-tenant architecture, initial production release in eight months.
6. AI governance, security, compliance, and risk management — weight 3, evidence 3/3: led AWS-based privacy and AI-governance systems at MassMutual; direct controls, auditability, responsible AI, and regulated-delivery evidence.
7. Program health, financial governance, risk mitigation, and delivery success — weight 2, evidence 2/3: direct planning, budgeting, risk, delivery, KPI, and executive-reporting experience; less specific evidence for financial governance of a named large-scale GenAI program.
8. Cross-functional global teams of architects, DevOps, AI engineers, and business stakeholders — weight 2, evidence 3/3: directly led distributed engineering teams and global AWS technical communities of 80-100 specialists.
9. Insurance, financial services, or another highly regulated industry — weight 2, evidence 3/3: MassMutual leadership plus extensive financial-services customer work; also healthcare and privacy-regulated delivery.
10. Change management, strategic account management, and business consulting — weight 2, evidence 3/3: direct executive advisory, consulting-practice, enterprise adoption, stakeholder alignment, and organizational enablement evidence.

Weighted points: 67 of 78 = 85.9%, rounded to 86%. The mandatory AWS Launchpad gap overrides the numeric score and makes the outcome FAIL.

## Keyword diagnostic

No tailored resume was generated because the role failed the hard-gap gate, so a JD/generated-resume keyword-overlap percentage is not applicable. Substantive requirement coverage is 86%; the missing mandatory term and experience is AWS Launchpad. Strong supported overlaps include AWS, Amazon Bedrock, AgentCore, GenAI, AI agents, agentic workflows, RAG, cloud architecture, platform engineering, DevSecOps/automation, enterprise integration, governance, security, compliance, risk management, executive stakeholders, financial services, change management, KPIs, and production delivery.

## Full normalized job description

### Role metadata

- Public LinkedIn title: AWS GenAI Director
- Role title in description: AWS GenAI Transformation Executive / Program Director
- Company: Quantum World Technologies Inc.
- Location: Remote, United States
- Duration: Full-time/permanent
- Seniority level: Director
- Job function: Project Management
- Industry: IT Services and IT Consulting
- Named end-client engagement: AWS Launchpad at Aegon

### Executive Leadership and Client Engagement

- Serve as the strategic onsite leader for the AWS Launchpad engagement at Aegon.
- Build trusted-advisor relationships with senior business, technology, and transformation stakeholders.
- Drive executive governance, steering-committee discussions, program reviews, and roadmap alignment.
- Align AWS GenAI investments with business outcomes and enterprise transformation objectives.
- Act as the primary escalation point for delivery, adoption, and platform-related challenges.

### AWS GenAI Platform Industrialization

- Lead the industrialization of Amazon Bedrock and AgentCore capabilities across the enterprise.
- Define operating models, governance frameworks, security controls, and adoption standards.
- Establish reusable patterns, accelerators, deployment frameworks, and best practices for GenAI implementations.
- Drive enterprise-wide enablement and onboarding of GenAI use cases.
- Ensure alignment with responsible AI, compliance, security, and risk-management requirements.

### AWS Launchpad Leadership

- Provide strategic guidance on AWS Launchpad methodology and adoption framework.
- Partner with AWS teams, enterprise architects, and platform-engineering teams to accelerate value realization.
- Govern implementation roadmaps and ensure successful transition from pilot initiatives to production-grade platforms.
- Drive measurable business outcomes through platform standardization and operational excellence.

### Program Governance and Delivery Oversight

- Own program health, financial governance, risk mitigation, and delivery success.
- Lead cross-functional global teams comprising architects, DevOps engineers, AI engineers, and business stakeholders.
- Define KPIs, adoption metrics, and value-realization frameworks.
- Ensure successful execution of platform enhancement and enterprise rollout initiatives.

### Mandatory skills and experience

Strong working knowledge of:

- AWS Launchpad
- Amazon Bedrock
- AgentCore
- AWS cloud services
- Enterprise GenAI adoption frameworks

Additional mandatory experience:

- Proven experience leading large-scale cloud and AI transformation programs.
- Extensive executive stakeholder-management experience.
- Experience within insurance, financial services, or highly regulated industries.
- Strong understanding of AI governance, security, compliance, and risk management.

### Preferred technical background

- AWS cloud architecture
- AI/ML platform engineering
- DevSecOps and platform automation
- Enterprise integration architecture
- RAG, knowledge bases, AI agents, and agentic workflows
- Amazon Bedrock foundation models, knowledge bases, retrieval-augmented generation, and agent-based enterprise AI architectures

### Leadership competencies

- Executive presence
- Strategic account management
- Transformation leadership
- Business consulting
- Organization change management
- Financial and commercial acumen

## Artifact metadata

- Archived JD capture: `Keith_Steward_AWS_GenAI_Director_4459063697_JD_capture.md`
- Resume: https://bit.ly/4cGHisk
- Cover letter: https://bit.ly/4c6jRso
- Validation: PASS — two-page, 947-word resume and one-page, 245-word cover letter; Letter geometry, 0.40-inch bounds, active contact annotations, ATS text extraction, supported claims, page flow, and all rendered pages verified
- Keyword diagnostic: 90.9% (20 of 22 tracked JD terms); missing `enterprise transformation` as an exact phrase and the intentionally unsupported `AWS Launchpad`
- Override handling: Resume does not claim AWS Launchpad experience; cover letter states the gap directly and positions Keith's adjacent AWS adoption and transformation record
- LinkedIn connection note: Not generated for a FAIL role
- Google Drive used: No