
AI/ML Solutions Architect (Agentic Systems/ Multi Agent Architect)
neuron7
Posted 2026-05-25
Tech & Engg
Job Description
Ovii's Interpretation of the Role
The AI/ML Solutions Architect will partner with enterprise customers to design and deliver autonomous AI solutions built on multi‑agent architectures. You will lead discovery workshops, craft end‑to‑end AI workflows, and guide implementation and adoption across large organizations.
Role Snapshot
- Enterprise AI solution design
- Multi‑agent system architecture
- Customer discovery & roadmap workshops
- Production AI deployment & governance
- Cross‑functional collaboration
Must-Have Requirements
- Solution Architecture
- AI/ML implementation
- Multi-Agent Systems
- Enterprise Integration & APIs
- Data & workflow orchestration
- Agentic AI frameworks
- AI governance & responsible AI
- Customer discovery workshops
- Enterprise integration
Nice-to-Have Signals
- Salesforce integration
- ServiceNow platforms
- CRM / Customer Support platforms
- Field Service Management solutions
- Exposure to LangGraph, CrewAI, AutoGen, Semantic Kernel, Agentforce, OpenAI Agents SDK
Work Setup
- Location: Bengaluru, India
- Work mode: HYBRID
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Partner with enterprise customers to uncover AI transformation opportunities
- Design end‑to‑end agentic AI solutions using multi‑agent architectures
- Lead discovery workshops and define AI roadmaps
- Architect scalable AI workflows that integrate with enterprise systems and APIs
- Deploy production‑ready AI applications with security, governance, and reliability
- Guide customers through implementation, adoption, and long‑term success
- Collaborate with Product, Engineering, and Customer Success to shape the platform
- Act as a trusted advisor on enterprise AI strategy and best practices
Good Fit If You Have
- Strong background in enterprise integrations and API design
- Experience delivering AI‑powered products from 0‑to‑1 in large organizations
- Comfort leading workshops and influencing product direction
Skills
- Solution Architecture
- AI/ML implementation
- Multi‑Agent Systems
- Enterprise Integration & APIs
- Data & workflow orchestration
- Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK)
- AI governance & responsible AI
- Customer discovery workshops