AI Solution Architect/AI Automation Architect

Sygna Solutions; Hyderabad; On-site; INR 3,200,000 - 5,400,000; Full time

Job summary

Sygna Solutions seeks an experienced AI Solutions Architect to design and lead an enterprise AI-powered automation platform for IT staffing and recruitment. You will own end-to-end architecture, AI strategy, automation workflows, cloud infrastructure, security, and production deployment.

The role focuses on transforming business operations into a secure, scalable, and highly automated organization with centralized dashboards and analytics.

Qualifications

• Experience with Generative AI, LLMs, AI Agents, and RAG.
• Proficiency in Python and FastAPI/Flask, REST APIs.
• Experience with n8n, Make, and API-driven automation workflows.
• Strong knowledge of databases: PostgreSQL, MongoDB, Redis, and vector databases.
• Experience integrating CRM/ATS systems and Microsoft 365 APIs.
• Hands-on with Docker, Kubernetes, and CI/CD pipelines.
• Cloud platform experience (Azure, AWS, or GCP).
• Security, governance, IAM, GDPR, SOC2, and ISO 27001 awareness.

Responsibilities

• Design and implement AI Agents, multi-agent systems, RAG, and GenAI solutions.
• Architect automation workflows using n8n, Make, and APIs.
• Build scalable platforms with Python, FastAPI, PostgreSQL, Docker, and cloud infrastructure.
• Integrate CRM, ATS, MS 365, Teams, Outlook, job boards, and third-party APIs.
• Define security, governance, compliance, and access-control frameworks.
• Lead technical architecture reviews, deployment, and scalability planning.

Skills

Generative AI

LLMs

AI Agents

RAG

Python

REST APIs

Workflow Automation

Security

Enterprise Architecture

Tools

n8n

Make

APIs

PostgreSQL

MongoDB

Redis

Docker

Kubernetes

Azure

AWS

GCP

Job description

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.