EliteSquad.AI
Website:
elitesquad.ai
Job details:
Solutions Architect – Agentic AI
Function: AI Engineering & Architecture
Onsite Gurugram (Hybrid) (3 days wfo 2 days wfh)
Experience 12+ Years
We are looking for a Solutions Architect to own the end-to-end technical architecture of
large-scale, multi-agentic AI platforms. This is a hands-on, build-first role: you will design
agent orchestration systems, write production code, and lead a technical team, remaining close
to implementation throughout. This is not a pre-sales or solutioning-only position.
Key Responsibilities
● Design end-to-end multi-agentic architectures: orchestration, inter-agent
communication, memory, tool/function-calling, and human-in-the-loop workflows.
● Personally build foundational agents and reusable templates; set the code quality bar
through your own commits and PR reviews.
● Architect secure integrations with CRMs (e.g. Salesforce), ERPs, ITSM tools, and
line-of-business systems via APIs, events, and MCP-based tool servers.
● Own scalability, security, and reliability: multi-tenancy, LLM guardrails, prompt-injection
defences, PII handling, observability, and agent evaluation.
● Ensure architectures meet applicable data residency, privacy, and information security
requirements.
● Lead a pod of AI engineers; define coding standards, design patterns, and release
governance while mentoring hands-on.
● Represent technical solutions to client CXOs and IT teams; translate business problems
into agent capabilities.
● Partner with delivery leadership on estimation, phasing, and technical risk
management.
Required Qualifications
● 12+ years of hands-on software engineering experience, with an unbroken technical
track record, including in architect roles.
● Architected and shipped at least one enterprise-grade multi-agent system in
production, not a POC, with real users and measurable outcomes.
● 3+ years with LLM/GenAI systems: RAG pipelines, prompt engineering, structured
outputs, and tool calling across providers.
● Hands-on expertise in a major agent framework (LangGraph, CrewAI, AutoGen, OpenAI
Agents SDK, Bedrock Agents/Strands, or Semantic Kernel).
● Strong grasp of multi-agent orchestration patterns, agent-to-agent communication, and
memory/state design.
● Experience with Model Context Protocol (MCP) and tool-use architecture, including
permissioning and sandboxing.
● Strong Python skills (TypeScript/Node.js a plus) with production-grade testing, CI/CD,
and API design practices.
● Cloud-native architecture on AWS and/or Azure: containers, serverless, event
backbones, IaC, and vector databases.
● Enterprise-grade architecture judgement on scalability, availability, security, and
vulnerability management (OWASP Top 10 / LLM Top 10, zero-trust, DR/BCP).
● Experience integrating enterprise systems such as Salesforce, Microsoft Dynamics,
ServiceNow, or SAP.
Preferred Qualifications
● Experience working with stakeholders from the Middle East, ideally government or
semi-government entities.
● Experience with multilingual (e.g. Arabic/English) conversational or agentic AI
experiences.
● Certifications: AWS Solutions Architect Professional, AWS ML Specialty, or Azure
Solutions Architect Expert.
● Experience with fine-tuning, model distillation, or self-hosted/open-weight model
deployment.
● Open-source contributions, technical writing, or conference speaking in the AI/agentic
space.
Click on Apply to know more.