EXL · 1 day ago
Forward Deployment Engineer
United States
Full-time
Remote
Senior Level
6+ years expEXL is a leading data analytics and digital operations company. The Forward Deployment Engineer is responsible for deploying and scaling EXLdata.ai within client environments, resolving technical issues, and customizing workflows to meet client needs.
AnalyticsBankingOutsourcing
Responsibilities
Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments
Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration
Troubleshoot environment, infra, IAM, and pipeline-related issues
Lead cloud-level optimizations (scaling, cost, performance tuning)
Build, customize, and optimize data pipelines using PySpark, SQL, Databricks, Snowflake, or native hyperscaler data services
Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation)
Assist client SMEs in onboarding data sources, targets, and transformations
Serve as the technical anchor for first-of-kind deployments at each client
Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed)
Provide hands-on support across discovery, configuration, runbooks, and UAT
Work with product engineering on integrating new GenAI agents into client pipelines
Tailor agent behaviors, triggers, and workflows for domain-specific use cases
Share field insights that shape our agent roadmap
Act as the “voice of the customer” for the EXLdata.ai product team
Identify enhancements, feature gaps, and new accelerator ideas
Participate in internal sprints, tooling improvements, and platform hardening
Support deployments in EXL-hosted private cloud environments
Serve as the first line of operational excellence for premium clients
Lead operational reliability, monitoring, and support SLAs
Qualification
Required
6–12+ years as a Senior Data Engineer, Forward Deployment Engineer, or Platform Engineer
Strong hands-on experience with at least one hyperscaler (AWS or Azure or GCP)
Deep expertise in: PySpark, SQL, Python
Databricks / Snowflake (one mandatory, both preferred)
Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)
Kubernetes, Docker, CI/CD
IAM, VPC, private networking, secrets, API management
Demonstrated ability to work directly with client engineering teams
Comfortable running design discussions, debugging sessions, and deployment workshops
Strong communication skills; able to simplify technical topics for business audiences
Ability to operate independently with a consulting mindset and ownership mentality
Exposure to LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or willingness to learn fast
Strong interest in how AI can automate data engineering and governance
Can-do attitude; thrives in ambiguity
Fast learner; bias for action
Team player who collaborates across product, engineering, and client teams
Customer-first orientation and passion for delivering measurable outcomes
Preferred
Databricks / Snowflake (both preferred)
Company
EXL
EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries
10001+ employees
H1B Sponsorship
EXL has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$150MKey Investors
The Orogen GroupFTV Capital
2018-10-02Post Ipo Debt· $150M
2006-10-20IPO
2004-12-01Series Unknown
Leadership Team
Rohit Kapoor
Chairman & Chief Executive Officer
Brad Burdick
SVP, Insurance Domain Platforms
Recent News
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2026-01-13
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