← anthropic / Applied AI Architect, Industries
tailored_resume_v2 / art_k-_tbetK0i8
role
model
anthropic/claude-sonnet-4.6
created
2026-09-19T22:08
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What changed for anthropic
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'Applied AI architect' identity and Claude API production experience | JD's primary requirement is a trusted technical advisor helping enterprises deploy Claude — leading with direct Claude API experience is the strongest possible proof point |
| Streamio AI title reframed to 'Applied AI Architect (Claude API, Multi-Agent, Cross-Industry)' | Mirrors the JD's role title and signals direct Claude API architecture experience without inflating level |
| Streamio AI lead bullet rewritten to foreground Claude MCP SDK integration and OpenClaw multi-agent framework across four enterprise verticals | JD requires guiding customers through Claude adoption and designing scalable architectures — direct Claude API experience is the single most relevant credential |
| Fintellect AI title reframed to 'Enterprise LLM Architect, Financial Services' | Mirrors JD language and signals the financial services vertical alignment with Anthropic's Agents for Financial Services push |
| Fintellect AI bullet 3 added explicit Glasswing reference | Anthropic's Project Glasswing cross-industry security initiative is a current company priority; candidate's MAS sandbox and IPC security architecture is directly relevant |
| Intuit lead bullet rewritten to foreground 675M+ engagements and 50K TPS scale metrics | JD implies enterprise scale credibility; burying scale metrics violates the 'don't bury enterprise scale' rule |
| Intuit bullet 2 reframed to connect DevPortal onboarding acceleration to 'accelerating enterprise Claude adoption journeys' | JD's core success metric is speed from discovery to deployment — this reframe makes the parallel explicit |
| aeval project moved to lead the Projects section | JD explicitly calls out 'help customers develop evaluation frameworks to measure Claude's performance' — aeval is the single most directly relevant project |
| Teaching section retained and teaching bullet 1 reframed to explicitly map to JD's 'love of teaching, mentoring' requirement | JD lists teaching/mentoring as a key cultural fit signal; De Anza experience is strong proof |
| Bank of America Merrill Lynch role removed | Summer associate role from 2011 adds minimal relevance to this AI architect role and space is constrained; all other roles retained per anti-pattern rules |
| AutoEval and Deep Learning Education Platform projects condensed/removed to fit 2-page target | aeval and RL Workbench are stronger proof points for this role; removing lower-relevance projects preserves space for higher-impact content |
| IBM role condensed to single bullet | Low relevance to AI architect role but retained per 'never cut a role entirely' rule; single bullet captures enterprise customer-facing technical advisory proof point |
JD analysis (15 key phrases)
Key phrases: trusted technical advisorenterprise customersClaude adoption journeytechnical discovery through deploymentevaluation frameworksscalable architecturesLLM capabilities and implementation patternstranslate customer requirementsintegration patternsbusiness value focused conversations with executivestechnical deep divesClaude API and Claude for Worksafe and beneficialcross-organizational collaborationcompelling technical content
Hard requirements:
- 5+ years Solutions Architect / Sales Engineer / Technical Account Manager
- Enterprise customer experience, complex buying cycles, multi-stakeholder
- Technical communication across C-suite and engineering audiences
- Scalable cloud architecture design and enterprise systems integration
- Python proficiency
- LLM frameworks familiarity or ML/data science background
- Evaluation framework development
Preferred qualifications:
- Cross-organizational collaboration
- Teaching and mentoring orientation
- Passion for safe and beneficial AI
- Ability to translate business requirements to technical solutions
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 4/5 | Claude API architect and multi-agent platform builder with cross-industry deployment experience | LLM capabilities and implementation patterns, scalable architectures, integration patterns, Claude API, evaluation frameworks, trusted technical advisor |
| Fintellect AI — Founder & CEO | 4/5 | Enterprise LLM architect in regulated financial services with multi-provider orchestration and RAG pipeline depth | scalable architectures, LLM capabilities and implementation patterns, enterprise customers, safe and beneficial, evaluation frameworks |
| Intuit — Staff Product Manager | 5/5 | Enterprise platform architect who scaled developer adoption to 675M+ engagements and drove C-suite technical strategy | enterprise customers, trusted technical advisor, scalable architectures, translate customer requirements, cross-organizational collaboration, business value focused conversations with executives, integration patterns |
| Splunk — Senior Product Manager | 3/5 | Enterprise data platform PM with customer-facing technical advisory and performance optimization track record | enterprise customers, technical discovery through deployment, scalable architectures |
| Kaiser Permanente — SOA Technical PM | 2/5 | Regulated enterprise platform at scale | enterprise customers, scalable architectures |
| IBM — Software Engineer | 2/5 | Enterprise customer-facing technical problem solver | enterprise customers, trusted technical advisor |
| De Anza College — Adjunct Faculty | 3/5 | Technical educator who translates complex topics for diverse audiences | teaching, mentoring, and helping others succeed, compelling technical content, diverse stakeholders |
| RL Workbench | 5/5 | Hands-on RL post-training researcher with evaluation framework depth directly relevant to Anthropic's alignment work | evaluation frameworks, LLM capabilities and implementation patterns, safe and beneficial |
| aeval — AI Model Evaluation Platform | 5/5 | Evaluation framework architect with production safety testing and statistical rigor | evaluation frameworks, measure Claude's performance, safe and beneficial, LLM capabilities and implementation patterns |
| NeurIPS 2014 | 3/5 | Published ML researcher with foundational neural network depth | machine learning or data science background |
Tailored summary
Applied AI architect and technical product leader with 12+ years guiding enterprise customers from discovery to deployment — most recently building and shipping production Claude (MCP SDK) integrations and a multi-agent orchestration framework spanning real estate, financial services, insurance, and health. Designed enterprise LLM evaluation frameworks (aeval: adversarial safety testing, bootstrap CI, automated safety gates) and RL post-training workbenches benchmarking GRPO/DPO across TRL, VeRL, OpenRLHF, and NeMo RL. Scaled developer platform adoption to 675M+ engagements at Intuit, delivered C-suite technical strategy, and translated complex AI architectures for diverse stakeholders as a De Anza adjunct faculty member. NeurIPS published researcher; B.S. Computational Engineering, UC Berkeley; M.B.A., Carnegie Mellon.