Rnrcertification
AI Solution Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,000,000 / year
Location:
India
Work mode:
Remote
Published on:
16 September 2026
What they need
AI Solution Engineer--No Moonlighting candidates.
Full Time Position with MNC
AI Engineer Role, Responsibilities & Skills
Role
- Own AI requirements development and technical solutioning for AI RFPs/proposals and internal AI initiatives.
- Build agent-driven workflows (Copilot Studio) and deploy AI/GenAI components on cloud platforms (Azure mandatory & AWS good to have) to production standards.
Responsibilities
- Conduct stakeholder discovery and translate business goals into AI use cases, requirements, and acceptance criteria.
- Define data requirements: sources, access, quality, governance and retention.
- Design GenAI/ML approaches (RAG, fine-tuning, agent workflows) with clear assumptions and tradeoffs.
- Create evaluation criteria and validation plans (offline tests, human review, regression).
- Break down AI RFP/RFI requirements into scope, risks, dependencies, and level-of-effort estimates.
- Write proposal-ready technical narratives: architecture, methodology, implementation plan, and MLOps/LLMOps.
- Build rapid demos/POCs to validate feasibility (retrieval, tool/function calling, integrations).
- Develop and orchestrate agents in Microsoft Copilot Studio (connectors, actions, governance).
- Implement and deploy solutions on AWS/Azure; leverage SageMaker and cloud-native services for scalable inference.
- Collaborate with SMEs and delivery teams to create reusable assets (templates, prompts/modules) and smooth handoffs.
Skills (Required + Good to Have)
- Strong Python development; experience building APIs/services (e.g., FastAPI/Flask) and integrating enterprise systems.
- GenAI systems: RAG pipelines, prompt/tool routing, grounding/guardrails, and evaluation frameworks.
- Mandatory: Cloud Azure ecosystem familiarity (data/AI services) and hybrid cloud architectures.
- Good to have: Cloud AWS (S3, IAM, CloudWatch) with SageMaker for training/inference and deployment patterns.
- Good to have: ETL concepts and tools; familiarity with AWS Glue and data pipeline patterns.
Preferred candidate profile
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