jazzhr
AI Architect
PairSoft
Remote, IND
Full-time
Senior · 10+ years experience
Remote
Discovered 1 weeks ago
AzureAWSKubernetesOpenAIAnthropicAzure OpenAI
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
AzureAWSKubernetes
Key Skills for This Role
AzureAWSKubernetesOpenAIAnthropicAzure OpenAI
Full Job Posting
- Define and publish the target-state AI architecture across the product lines, including central services versus application-layer boundaries.
- Own the technology decisions: foundation model providers, orchestration frameworks, vector stores, evaluation and observability platforms, guardrails, and agent frameworks.
- Establish architecture decision criteria and the decision-record process. Ensure every significant call is defensible, documented, and revisitable.
- Design for tenant isolation, PII handling, and regional data residency from day one, working with the CISO on the security envelope.
- Lead the build of the central AI platform: model gateway, prompt registry, RAG-as-a-service, guardrails and content safety, evals and telemetry, cost attribution, and audit logging.
- Own the phased roadmap: discovery and decisions, platform build, migration of existing product AI features to the platform, and optimization.
- Partner with product engineering leaders across all product lines to migrate existing AI features onto the central platform without disrupting customer commitments.
- Set the operational bar: observability, SLOs, incident response, and on-call model for AI services.
- Stand up per-request cost tagging and the AI unit economics dashboard. Track cost per feature, per customer, and per model. Enforce budgets and rate limits per tenant.
- Chair a cross-product AI Council to govern shared standards, new use case intake, and vendor decisions.
- Own vendor relationships for AI infrastructure and tooling. Lead build-versus-buy analysis and commercial negotiation with product and finance partners.
- Prepare and represent the AI architecture and roadmap in leadership reviews and private-equity sponsor conversations, including technical due diligence.
- Recruit and lead the AI Platform team as the function grows.
- Establish the operating model between the central platform team and embedded AI engineers across product lines.
- Mentor engineers across the portfolio on AI patterns, evaluation practices, and safe deployment.
- 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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at PairSoft
AI Platform Engineer
, IND
SeniorFull-time
PairSoft is hiring a senior AI Platform Engineer to build and operate a central AI services platform, including model gateways, RAG, evaluation, observability, guardrails, and MLOps. The role requires substantial product
Discovered 1 weeks agoView →