Forward Deployed Engineer

Diverse Lynx, LLC; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Diverse Lynx LLC is seeking a Forward Deployed Engineer to architect and deliver data engineering and AI-powered solutions for client environments across NJ, NYC, Charlotte, Columbus, Pittsburgh, Boston, Malvern, and Washington, DC.

You will translate business requirements into scalable designs, build production-grade pipelines, and drive end-to-end implementation with a focus on reliability, security and observability.

Qualifications

• 10+ years of experience in data engineering and AI application development.
• Strong hands-on expertise with Python, PySpark, SQL, REST APIs and FastAPI.
• Experience designing AI-powered apps using Claude, RAG, vector DBs and semantic search.
• DataOps practices including ETL/ELT, data quality, lineage and observability.
• Experience with MLOps/LLMOps, CI/CD, MLflow, monitoring and production support.
• Cloud data platforms, security, IAM/RBAC, encryption and compliant data access.
• BFSI domain exposure and strong client-facing consulting skills.
• Bachelor’s degree in a related field; cloud/Kubernetes/AI certifications preferred.

Skills

Data Engineering

AI App Development

Cloud Data Platforms

Production Software

Python

PySpark

SQL

REST APIs

FastAPI

Enterprise Integration

Claude AI

Prompt Engineering

RAG

Vector Databases

Semantic Search

Agentic AI

ETL/ELT

Batch Processing

Data Quality

DataOps

MLOps

CI/CD

MLflow

IAM/RBAC

Encryption

Secrets Management

Privacy Controls

Compliance

Secure Data Access

BFSI Experience

Client-facing Consulting

Education

Bachelor's degree in CS/Engineering/IS/Data Management

Tools

Git

Docker

Kubernetes

Airflow

MLflow

CI/CD

Job description

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.
• Bachelor’s 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.

Disclaimer:

Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.

Security Notice:

Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.