Forward Deployed Engineer — Data Engineering & GenAI
Full Time
No Travel Required
On-site
Depends on Experience
Aivanta Tech Inc
Fitment
Dice Job Match Score™
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Job Details
Skills
- API
- Amazon Web Services
- Artificial Intelligence
- Authentication
- Authorization
- Cloud Computing
- Communication
- Apache Kafka
- Apache Parquet
- Apache Spark
- Computerized System Validation
- Conflict Resolution
- Generative Artificial Intelligence (AI)
- Google Cloud Platform
- Extract, Transform, Load
- Good Clinical Practice
- Documentation
- Evaluation
- Extraction
- Database
- Databricks
- Debugging
- Disk Encryption
- Data Modeling
- Data Processing
- Data Quality
- Customer Facing
- Data Engineering
- Data Governance
- Continuous Delivery
- Continuous Integration
- ELT
- IDE
- Interfaces
- JSON
- Workflow
- TypeScript
- Use Cases
- Snow Flake Schema
- Software Engineering
- Testing
- Vector Databases
- Microsoft Azure
- Orchestration
- Scalability
- Python
- Mapping
- Quality Assurance
- RESTful
- Problem Solving
- Prototyping
- Product Strategy
- Version Control
Summary
Forward Deployed Engineer — Data Engineering & GenAI
Location: Washington, DC Metro Area
Work Model: Hybrid — expected in the office/customer sites 2–3 days per week
Employment Type: Full Time / Contract
Experience Level: Principal (8–14 years)
Citizenship: U.S. Citizenship required
About the Role
We are looking for a Forward Deployed Engineer (FDE) who combines strong software and data engineering fundamentals with hands-on Generative AI expertise and exceptional customer-facing skills.
This is not a traditional implementation, solutions consulting, or data engineering role. The FDE will work directly with customers to understand complex and often ambiguous operational problems, translate them into technical solutions, and then build and deploy those solutions hands-on.
You will operate at the intersection of customers, data, software engineering, and Generative AI. One engagement might require building an API integration and ETL pipeline; another might involve creating an AI agent that automates an operational workflow; another could require rapidly prototyping a customer-specific application using LLMs and enterprise data.
We are looking for someone who is comfortable moving between a customer conversation, architecture whiteboard, IDE, data pipeline, and production deployment.
What We’re Looking For
Must Have
Strong hands-on software engineering experience.
Strong data engineering fundamentals, including ETL/ELT, data modeling, schema mapping, and data pipelines.
Experience designing and integrating REST APIs and backend services.
Strong Python development skills.
Hands-on experience building applications using LLMs / Generative AI.
Experience building at least some of: AI agents, RAG systems, tool-calling workflows, LLM-powered applications, or AI workflow automation.
Ability to take an ambiguous customer requirement and independently turn it into a working technical solution.
Strong debugging and problem-solving skills across applications, APIs, infrastructure, and data.
Excellent written and verbal communication skills.
Demonstrated ability to work directly with customers and senior stakeholders.
Ability to operate effectively in fast-moving environments with incomplete requirements.
U.S. Citizenship.
Based in or willing to work from the Washington, DC metro area.
Ability to work in a hybrid environment with office/customer-site presence at least 2–3 days per week.
Strongly Preferred
Experience working as a Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing Software/Data Engineer.
Experience supporting the federal government, defense, intelligence, national security, or other mission-critical environments.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with modern data platforms and technologies such as Snowflake, Databricks, Spark, Kafka, Airflow, dbt, or equivalent technologies.
Experience with vector databases, embeddings, retrieval systems, and modern LLM application frameworks.
Experience deploying AI applications into production environments.
Experience designing human-in-the-loop workflows and AI evaluation systems.
Familiarity with enterprise security, authentication, authorization, and data-governance requirements.
Demonstrated ability to develop reusable technical approaches and influence engineering or product strategy.
Roles & Responsibilities
Work directly with customers to understand business objectives, operational workflows, technical environments, and pain points.
Translate ambiguous customer requirements into concrete technical architectures and working solutions.
Rapidly prototype, build, test, deploy, and iterate on customer-facing solutions.
Own technical delivery from initial discovery through implementation and production adoption.
Make pragmatic engineering decisions balancing speed, scalability, security, maintainability, and customer impact.
Identify technical risks, data-quality issues, integration constraints, and implementation trade-offs early.
Write production-quality code, primarily using languages such as Python and/or TypeScript.
Design and develop APIs and backend services.
Integrate applications with databases, APIs, cloud services, AI models, and customer systems.
Build lightweight applications and interfaces where needed to deliver an end-to-end customer solution.
Apply sound software engineering practices around testing, version control, CI/CD, monitoring, security, and documentation.
Design and implement ETL/ELT pipelines for ingestion, extraction, transformation, and delivery workflows.
Execute bulk data processing and deliver data products in formats including Parquet, CSV, JSON, and related formats.
Build, configure, test, and maintain REST/API integrations for customer and internal use cases.
Design and build GenAI-powered applications that automate complex customer workflows.
Build LLM-based agents and agentic workflows capable of reasoning across enterprise data, APIs, and tools.
Develop RAG pipelines connecting LLMs with structured and unstructured enterprise data.
Implement tool/function calling, structured outputs, workflow orchestration, and multi-step AI systems.
Build evaluation frameworks and feedback loops to measure and improve AI application quality.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91174912
- Position Id: 9081697
- Posted 10 hours ago
Company Info
About Aivanta Tech Inc
Aivanta Tech Inc is a forward-thinking software consulting company dedicated to helping businesses innovate, scale, and succeed in the digital era. We specialize in delivering AI-driven solutions, custom software development, and end-to-end technology consulting tailored to meet modern business challenges. Our team combines deep technical expertise with a strong understanding of business processes to build scalable, secure, and high-performance applications. From startups to enterprises, we partner with organizations to transform ideas into impactful digital solutions. At Aivanta Tech Inc, we focus on creating value through intelligent automation, data-driven insights, and cutting-edge technologies. Whether it's developing web and mobile applications, implementing AI solutions, or modernizing legacy systems, we ensure seamless execution and measurable results.
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