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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.

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