Forward Deployed Engineer

Job Title : Forward Deployed Engineer
Location: NJ/NYC/ Charlotte NC/Columbus OH/ Pittsburg PA/Boston MA/ Malvern PA/Washington DC
Salary Range : $120k-$160K/year

Must Have Technical/Functional Skills :

• 10 years of experience in Data Engineering AI Application Development Cloud Data Platforms and Production-grade Software Engineering.
• Strong hands-on expertise in Python PySpark SQL REST APIs FastAPI and enterprise application integration.
• Experience designing and building AI-powered applications using Claude Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases Semantic Search and Agentic AI patterns.
• Deep understanding of Data Engineering frameworks including ETL/ELT batch and streaming pipelines data quality metadata management lineage observability and DataOps practices.
• Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management CI/CD pipelines MLflow monitoring deployment automation rollback and production support.
• Strong knowledge of cloud and modern data platforms including compute storage integration orchestration security networking monitoring and cost Eligible to workimization services.
• Hands-on experience with Git Docker Kubernetes Airflow MLflow CI/CD and distributed data processing frameworks.
• Strong understanding of enterprise security and governance principles including IAM/RBAC encryption secrets management privacy controls auditability compliance and secure data access.
• Ability to translate business requirements into scalable solution designs define non-functional requirements estimate effort and drive production-ready implementation.
• Experience working with Banking Financial Services or Insurance (BFSI) data environments and familiarity with regulatory security privacy and resilience requirements.
• Strong client-facing consulting skills with experience conducting discovery workshops solution shaping rapid prototyping stakeholder communication and technical presentations.
• Bachelors degree in computer science Engineering Information Systems Data Management or a related discipline.
• Preferred certifications in Cloud Platforms Kubernetes AI Engineering MLOps Data Engineering Enterprise Architecture Security or Program Delivery.
• Experience working in a forward-deployed delivery model by embedding with client SMEs business users and engineering teams through solution validation production deployment adEligible to workion and handover.
• Strong hands-on data discovery skills including profiling unfamiliar client data with Python pandas PySpark and SQL; assessing coverage and quality; and quantifying volumes distributions edge cases and business-process gaps before development.
• Ability to rapidly build thin working solutions using real client data and APIs validate them with users and iteratively harden them with automated tests security controls error handling observability and production support procedures.
• Experience creating business-relevant evaluation datasets with client SMEs measuring ML or LLM quality performing structured error analysis grouping failures by root cause and prioritizing improvements across releases.
• Demonstrated production ownership after go-live including monitoring incident diagnosis rollback stabilization performance and latency troubleshooting and resolution of user-reported issues.
• Ability to measure user adEligible to workion and business impact after launch using usage data and agreed KPIs such as time saved error reduction straight-through processing quality improvement or productivity gains.