Solutions Architect (AI/ML -Agentic Systems)

Ovii's Interpretation of the Role

The Solutions Architect will partner with enterprise customers to design and deploy end‑to‑end Agentic AI platforms that integrate with existing systems. You will lead discovery workshops, craft AI roadmaps, and ensure production‑grade security, governance, and scalability. Collaboration with product, engineering, and customer success teams is essential to drive adoption and long‑term success.

Role Snapshot

• Enterprise AI solution design
• Multi‑agent system architecture
• Customer discovery & roadmap workshops
• Production‑grade AI deployment
• Cross‑functional collaboration

Must-Have Requirements

• Solution Architecture
• Enterprise Architecture
• Platform Engineering
• Technology Consulting
• AI/ML implementation
• Generative AI
• Agentic AI
• Multi‑Agent Systems
• AI workflow orchestration
• Enterprise integrations/APIs
• Data architecture
• Discovery workshop facilitation

Nice-to-Have Signals

• Salesforce
• ServiceNow
• CRM platforms
• Field Service Management solutions
• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• Agentforce
• OpenAI Agents SDK
• Salesforce integration
• Customer Support platforms

Work Setup

• Location: Bengaluru, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• 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 and architect end‑to‑end Agentic AI solutions using multi‑agent frameworks
• Lead discovery workshops and define AI roadmaps aligned with business goals
• Build scalable AI workflows that integrate with enterprise systems, APIs, and data pipelines
• Deploy production‑ready AI applications while ensuring security, governance, and reliability
• Guide customers through implementation, adoption, and ongoing success
• Collaborate with product, engineering, and customer success teams to shape the platform
• Act as a trusted advisor on enterprise AI strategy and responsible AI practices

Good Fit If You Have

• Strong background in enterprise architecture and platform engineering
• Hands‑on experience delivering AI/ML solutions at scale
• Comfort leading workshops and influencing product direction
• Familiarity with multi‑agent frameworks (LangGraph, CrewAI, etc.)