Description
Role Summary
The AI Business Solutions Engineer is a hands-on technical problem solver who translates business problems into intelligent, AI-enabled solutions. This person works directly with business and operations teams to understand broken workflows, identify friction, map system and data dependencies, and rapidly build practical solutions using AI agents, MCP servers, APIs, automation tools, RAG, data pipelines, and modern AI platforms.

This is not a traditional business analyst, transformation strategist, or prompt-only AI role. This is an individual contributor role for someone who can design, build, connect, test, document, and deploy solutions. The ideal candidate combines business maturity with strong technical execution and can move quickly from discovery to prototype to scalable implementation.
Key Responsibilities
- Translate ambiguous business problems into transparent technical requirements, process maps, solution designs, data needs, integration plans, and measurable outcomes.
- Design, build, test, and deploy agentic workflows that retrieve information,



reason over business context, summarize insights, trigger actions, route work, escalate exceptions, and support human-in-the-loop decisions.
- Create, deploy, troubleshoot, and connect MCP servers that allow AI systems to securely access enterprise tools, data, workflows, APIs, prompts, and resources.
- Build or connect MCP servers for systems such as Salesforce, ServiceNow, Jira, Confluence, Snowflake, Databricks, Power BI, LMS/CMS platforms, customer data platforms, knowledge repositories, internal applications, and external APIs.
- Integrate enterprise systems through REST APIs, GraphQL, webhooks, SDKs, middleware, iPaaS tools, event-driven workflows, and custom connectors.
- Build AI-enabled applications, assistants, automations, and internal tools using modern AI platforms, LLM APIs, agent frameworks, workflow tools, and integration services.
- Implement RAG and enterprise search patterns

📌 Senior Lead, Support (India)
🏢 Majesco
📍 India