Role Summary:
We are seeking an experienced AI Solutions Architect to design and lead the development of an enterprise AI-powered automation platform for IT staffing and recruitment. The ideal candidate will drive end-to-end architecture, AI strategy, automation workflows, integrations, cloud infrastructure, security, and production deployment.
The objective is to transform our business operations into a secure, scalable, and highly automated organization.
Project Scope:
The platform must support automation across:
- Sales & Business Development: Client discovery, lead generation, decision-maker identification, email outreach, follow-ups, meetings, proposals, negotiations, and client acquisition.
- Client & Job Order Management: Client onboarding, staffing agreements, new requirements, job orders, and account management.
- Recruitment: Resume parsing, candidate sourcing, AI-based resume matching, submissions, interviews, offers, and placements.
- Bench Sales: Consultant database, bench marketing, vendor outreach, opportunity matching, submission tracking, and placement follow-ups.
- Finance & Operations: Invoice preparation, payment follow-ups, payroll data preparation, operational workflows, and reporting.
- Management: Centralized dashboards, business analytics, performance reports, and decision-support systems.
Key Responsibilities:
- Design and implement AI Agents, Multi-Agent Systems, RAG, and GenAI solutions.
- Architect automation workflows using n8n, Make, and APIs.
- Build scalable platforms using Python, FastAPI, PostgreSQL, Docker, and Cloud (Azure/AWS/GCP).
- Integrate CRM, ATS, Microsoft 365, Teams, Outlook, Job Boards, and third-party APIs.
- Define security, governance, compliance, and access-control frameworks.
- Lead technical architecture, code reviews, deployment, and scalability planning.
Required Skills:
- Generative AI, LLMs, AI Agents, RAG
- OpenAI, Anthropic, Gemini
- Python, FastAPI/Flask, REST APIs
- n8n, Workflow Automation
- PostgreSQL, MongoDB, Redis, Vector Databases
- Microsoft Graph API, CRM & ATS Integrations
- Docker, Kubernetes, CI/CD
- Azure, AWS, or GCP
- Cybersecurity, OWASP, IAM, GDPR, SOC2, ISO 27001
Preferred:
- Experience building production-grade AI platforms and automation ecosystems.
- Strong knowledge of AI security, compliance, and enterprise architecture.
Expected Outcome:
We want an architect who can take responsibility for designing and guiding the development of a complete, secure, scalable, and production-ready AI automation platform for our staffing business.