AI Forward Deployment Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement EXLdata.ai within client-controlled AWS/Azure/GCP environments.

• Set up networking, security, CI/CD processes, Kubernetes, API gateways, and identity integration.

• Diagnose and resolve issues related to environment, infrastructure, IAM, and pipelines.

• Drive cloud-level optimizations including scaling, cost management, and performance tuning.

• Develop, customize, and enhance data pipelines utilizing PySpark, SQL, Databricks, Snowflake, or native hyperscaler data services.

• Incorporate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).

• Support client SMEs in the onboarding of data sources, targets, and transformations.

• Act as the technical lead for pioneering deployments at each client.

• Ensure clients experience tangible benefits from agent-driven automation (SLA reduction, pipeline acceleration, DQ improvements, migration speed).

• Offer hands-on assistance throughout discovery, configuration, runbooks, and UAT phases.

• Collaborate with product engineering to integrate new GenAI agents into client pipelines.

• Customize agent behaviors, triggers, and workflows for specific domain use cases.

• Represent the “voice of the customer” for the EXLdata.ai product team.

• Identify opportunities for enhancements, feature gaps, and new accelerator concepts.

⛳️ Requirements

• 6–12+ years of experience as a Senior Data Engineer or Forward Deployment Engineer.

• Significant hands-on experience with at least one hyperscaler (AWS, Azure, or GCP).

• In-depth knowledge in:

• - PySpark, SQL, Python

• - Databricks / Snowflake (one required, both preferred)

• - Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)

• - Kubernetes, Docker, CI/CD

• - IAM, VPC, private networking, secrets management, API management

• Proven ability to collaborate directly with client engineering teams.

• Comfortable leading design discussions, debugging sessions, and deployment workshops.

• Excellent communication skills; capable of simplifying technical concepts for business audiences.

• Ability to work autonomously with a consulting mindset and a sense of ownership.

• Familiarity with LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or a strong willingness to learn quickly.

• Keen interest in how AI can enhance automation in data engineering and governance.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.

• Engaging company culture with team-building events.