Software Engineer Forward Deployed Engineer (Enterprise AI Solutions)
India (Remote)Full-TimeJunior
Salary0 INR per year
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Job Details
- Experience
- 2 to 5 years of experience
- Required Skills
- PythonSnowflakeRESTful APIsDatabricksLangChainPySpark
Requirements
- 2 to 5 years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaS
- Strong hands-on coding experience, especially in Python
- Experience building and shipping production-grade workflows, services, applications, integrations, or data utilities
- Hands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patterns
- Experience building and managing data pipelines that ingest, validate, transform, and operationalize data from sources such as Snowflake, ERP systems, APIs, flat files, and customer data warehouses
- Experience designing or contributing to data warehouse architecture, scalable ingestion workflows, data models, and transformation logic
- Strong understanding of cloud-native application design and production practices, including deployment, testing, logging, monitoring, observability, and operational support
- Experience translating ambiguous customer requirements into clear technical solutions, delivery plans, and production-ready outputs
- Ability to work effectively with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and Support
- Strong written communication skills, with disciplined documentation and handoff practices
- High ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environments
- Strong product and systems thinking, including the ability to identify repeatable patterns and separate one-off customization from broader platform opportunities
Responsibilities
- Lead complex enterprise deployments from ambiguity to production
- Partner directly with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics
- Build what standard implementation cannot cover
- Enable agentic AI deployments in real enterprise environments
- Create solutions that are fast to deliver and safe to inherit
- Reduce friction for high-complexity accounts
- Turn customer-specific work into product and platform insight
- Help define how forward-deployed engineering scales
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