Lead and manage a GenAI-focused engineering team, architect multi-cloud platforms, ensure agile delivery, engage stakeholders, and oversee system compliance.
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.
Top Skills
AWS
Aws Batch
Azure
Celery
Eks
Fastapi
Kubernetes
Langchain
Langgraph
Llamaindex
Oauth2
Pinecone
Stonebranch
Terraform
Vault
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