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AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
The Principal AI Architect will own the end-to-end architecture of the Agentic AI Platform across all layers including Meta-Agent, Orchestration, Agent Runtime, Memory/State, Tools, RAG, and Model layer. They will also define the technical blueprint, reusable patterns, AWS-native design, and multi-account strategy that power every agent in the platform. Additionally, they will ensure the system is secure, scalable, well-governed, and aligned with enterprise standards for performance, reliability, and compliance.
Responsibilities
- Architect the full Agentic Platform across AWS, Bedrock, LangChain/LangGraph, RAG, and Lakehouse components.
- Define multi-step agent patterns (ReAct, planning, routing) and reusable architecture templates.
- Own Bedrock model selection, embeddings strategies, knowledge bases, and guardrails design.
- Design AWS foundations: VPC, Subnets, IAM, KMS, Secrets Manager, CloudTrail, Config.
- Lead Lakehouse architecture: Glue, Athena, Lake Formation, S3 lakehouse patterns.
- Enforce structured output schemas, prompt architecture, and cross-account separation.
- Provide architectural sign-off for all agent workflows, tools, and platform extensions.
- Ensure platform is scalable, observable, compliant, and optimized for cost and performance.
Qualifications
- Deep AWS architecture expertise.
- Proven experience building large-scale AI platforms.
- Expert-level agent design skills.
- Strong knowledge of AWS data stack.
- Ability to drive platform-wide standards.
- Demonstrated delivery in regulated industries.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
USA Employment Benefits include:
- Medical, Dental, and Vision Insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
