Job Description: AI Solutions Engineer

Bloom Energy faces an unprecedented opportunity to change the world and the way energy is generated and delivered. Our mission is to make clean reliable energy affordable globally. Blooms Energy Server delivers highly reliable and resilient always-on electric power that is clean cost-effective and ideal for micro grid applications. We are helping our customers power their operations without disruption and combustion.

We are looking for AI Solutions Engineer to join our team in one of todays most exciting technologies. This role would report to the Business Intelligence Manager and based in Bengaluru / Mumbai India.

The AI Solutions Engineer will support the Services Business Intelligence team to develop AI/ML solutions and automation into our service strategy. This will include building and deploying machine learning algorithms (for applications to support predictive maintenance and process optimization) and developing AI solutions (agents) process automations and enhanced analytics.

Requirements:

2-4 years of hands-on experience building AI/ML solutions in a production or near-production environment

Strong proficiency in Python you write clean production-grade code not just notebooks

Working experience with LLMs and generative AI: prompt engineering RAG architecture agentic workflows or conversational AI systems

Strong SQL skills and experience working with relational databases and data warehouses

Experience with cloud platforms (AWS strongly preferred Bedrock Lambda S3 Redshift ECS/EKS)

Familiarity with at least one orchestration/agentic framework:



LangChain LanGraph CrewAI AuguGen or similar

Understanding of data modeling ETL/ELT pipelines and working with messy imperfect enterprise data

Robust communication skills ability to explain technical concepts to non-technical stakeholders

Strong Plus:

Experience with vector databases and knowledge graphs

Hands-on experience with AWS Bedrock

Experience building multi-system integrations across enterprise platforms

Exposure to AI governance: audit logging RBAC confidence scoring human-in-the-loop workflows hallucination prevention

Experience with MCP or similar tool-use protocols

Responsibilities:

Agentic AI Development

Design build and iterate on agentic AI workflows using frameworks such as LanGraph CrewAI or equivalent orchestration tools

Develop retrieval-augmented generation (RAG) pipelines that ground LLM responses in approved enterprise data sources with source citation confidence scoring and traceability

Build and maintain multi-agent systems that decomposes complex operational questions into sub-tasks query structured/unstructured data and synthesize actionable outputs

Implement prompt engineering prompt libraries and evaluation harnesses to ensure response quality accuracy and governance compliance





Integrate with enterprise LLMs (e.g. AWS Bedrock / Anthropic Claude OpenAI) and manage model abstraction layers for flexibility

Enterprise Data Integration & Engineering

Build connectors and data pipelines to ingest and query data across different operational systems

Develop and maintain semantic layers knowledge graphs and vector databases for contextual retrieval

Implement data quality checks trusted-source hierarchies and conflict resolution logic when multiple systems provide contradictory data

Support MCP or equivalent server integrations for live system connectivity

ML/AI Solutions & Analytics

Build and deploy ML models for predictive maintenance performance optimization anomaly detection and operational forecasting

Develop automated reporting dashboards and self-service analytics tools

Apply statistical methods to identify patterns root causes and actionable insights from fleet and service data

Collaboration & Scaling AI Adoption

Partner with cross-functional teams to translate operational pain points into AI-enabled solutions

Contribute to the Agent Factory building reusable connectors templates governance patterns and deployment blueprints that scale across future service AI agents

Document architecture data flows and solution designs for knowledge transfer and production handoff

Support vendor collaboration and POC evaluation for enterprise AI partnerships

Graduate Education in:

BA/BS/MA in Computer Engineering Computer Science Data Science or equivalent

Required Experience:

Unclear Seniority

📌 Forward Deployed Engineer Agentic AI Solutions engineer (Mumbai)
🏢 Bloom Energy
📍 Mumbai