AI Architect
P
PairSoftB2B SaaS
Remote (anywhere from India), 11 am to 8pmFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 10+ years of engineering experience
- Required Skills
- AWSKubernetesAzurePrompt EngineeringLLMLangChain
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent.
- 10+ years of engineering experience, with at least 5 years in senior architecture roles at enterprise B2B SaaS companies.
- 3+ years of hands-on production experience with LLM-based systems: RAG, agents, evaluation, prompt engineering, and inference optimization.
- 3+ years people management experience, including recruitment and development of teams in a global setting.
- Proven track record building and shipping shared AI or ML infrastructure consumed by multiple product teams.
- Deep cloud-native architecture experience on Azure and AWS, including Kubernetes and IaC.
- Fluency across the modern LLM ecosystem: OpenAI, Anthropic, LangChain, LlamaIndex, and vector databases.
- Understanding of AI security and compliance: prompt injection, tenant isolation, PII handling, SOC 2, and GDPR.
- Ability to communicate architecture decisions to executive audiences and private equity sponsors.
- Fluency in English.
Responsibilities
- Define and publish the target-state AI architecture across product lines.
- Lead the build of the central AI platform including model gateway, RAG-as-a-service, and guardrails.
- Partner with product engineering leaders to migrate existing AI features onto the central platform.
- Stand up per-request cost tagging and AI unit economics dashboards.
- Chair a cross-product AI Council to govern shared standards and vendor decisions.
- Recruit and lead the AI Platform team.
- Prepare and represent the AI architecture and roadmap in leadership and private-equity reviews.
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