Forward Deployed Engineer/ Agentic AI Solutions engineer
Bloom Energy (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 12–22 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy agentic AI workflows and ML models supporting predictive maintenance, process optimization, and operational forecasting.
- Build and maintain data pipelines, semantic layers, knowledge graphs, and enterprise integrations with LLMs and multi-agent systems.
- Collaborate cross-functionally to scale AI adoption via reusable components, governance patterns, and documentation for production handoff.
Minimum Requirements
- 2-4 years hands-on experience building AI/ML solutions in production or near-production environments.
- Strong proficiency in Python coding for production-grade solutions.
- Experience with LLMs and generative AI including prompt engineering, RAG architecture, and agentic workflows.
- Strong SQL skills and experience with cloud platforms (AWS preferred); familiarity with at least one orchestration/agentic AI framework.
Ideal Candidate Profile
- Experienced in designing complex multi-agent AI workflows with operational impact and strong data integration skills.
- Comfortable working with enterprise-scale messy data and building governance-compliant AI systems.
- Technical communicator capable of bridging AI solutions with non-technical stakeholders to drive adoption and scalability.