AI Engineer - Data Migrations & Exchanges
Finvi | United States | Today
full-time | remote | senior | 8+ years
skills: python, scala, java, typescript, llm orchestration, langchain, llama index, openai sdk, prompt engineering, rag, tool/function calling, data quality, metadata, lineage, schema evolution, etl, elt, api, secrets management, encryption, tokenization, network isolation, audit logging, role-based access control, llm evaluation, boomi, boomi ai, gRPC, cicd, rdbms, spark, dbt, synthetic data generation
We’re a growing SaaS company focused on solving complex data integration and migration challenges for our customers. We’re early in our AI journey and that’s intentional. Rather than sprinkling AI on top of existing workflows, we’re thoughtfully building a secure, governed AI foundation that meaningfully reduces manual effort, accelerates time‑to‑value, and improves data quality for data engineers and analysts.
This is a unique opportunity to help shape our AI strategy from the ground up and deliver production-grade AI systems that customers can trust.
The Role
As a Senior AI Engineer, you will design and build AI-powered automation that tackles the most time-consuming aspects of data migration and data exchange, processing, mapping, validation, transformation, reconciliation, and documentation within a highly secure, auditable environment.
You’ll create reliable, production-ready AI services that integrate deeply into our data pipelines, reduce manual workflows, and enable faster, safer implementations. You’ll work closely with data engineering, platform, and business stakeholders to bring AI capabilities into production while meeting stringent governance, security, and compliance requirements.
This is a hands-on role for someone who enjoys both building and shaping and developing real systems while helping define best practices, guardrails, and patterns for AI across the company.
What You'll Do
Design & Build LLM‑Powered Automation
Build and ship robust microservices and functions that integrate LLMs (via APIs or on‑prem models) into our data stack.Implement observability and reliability patterns including metrics, tracing, logging, caching, retries, rate limits, quotas, and circuit breakers to manage cost, performance, and resilience.Design systems with production constraints in mind—not prototypes.Automation, Analysis & Data Generation
Develop tools for automated exploratory data analysis, anomaly detection triage, and explainable data quality insights.Build safe synthetic and test data generators conditioned on schemas and constraints.Implement privacy‑preserving techniques such as PII redaction, tokenization, and masking.Governance, Security & Compliance
Enforce strong AI guardrails: prompt hardening, content filtering, policy checks, and intelligent model routing.Integrate with secrets management, KMS/HSMs, VPC or private networking, audit logging, and access controls (RBAC/ABAC).Collaborate with stakeholders on model risk assessments, data residency, retention, and usage policies.Implement deterministic and provable AI flows where required.Quality, Evaluation & Reliability
Build automated evaluation pipelines for LLM outputs—covering accuracy, coverage, drift, bias, safety, latency, and cost.Introduce human‑in‑the‑loop (HITL) review workflows for business‑critical mappings and transformations.Continuously improve system quality through feedback loops and experimentation.Documentation & Enablement
Document AI capabilities, limitations, and operational playbooks.Create reusable prompt libraries, templates, SDKs, and internal tooling.Enable data engineers and analysts to effectively use AI features and adopt them into CI/CD workflows.What You'll Need
8+ years of experience in software or data engineering, with 2+ years building AI/ML or LLM‑powered systems.Strong programming skills in Python (and/or Scala, Java, or TypeScript).Proven experience delivering production microservices (REST/gRPC) with CI/CD.Hands‑on experience with LLM orchestration frameworks and concepts such as LangChain, LlamaIndex, OpenAI SDKs, prompt engineering, RAG, and tool/function calling.Experience integrating AI into data platforms and data models.Solid knowledge of data quality, metadata, lineage, schema evolution, ETL/ELT patterns, and API‑based data exchange.Strong security fundamentals: secrets management, encryption/tokenization of sensitive data, network isolation, audit logging, and role‑based access control.Practical understanding of LLM evaluation methodologies (ground‑truth sets, rubric scoring, hallucination mitigation, A/B testing).Experience with Boomi and/or Boomi AI for working with foreign file formats and building data exchanges.Preferred Qualifications
Experience working in regulated or privacy‑sensitive environmentsHands‑on experience with open‑source and commercial models (Llama, Mistral, GPT‑4/4.1/4o, Claude) and local inferenceBackground in data interchange standards and B2B integration patternsExperience building constraint‑aware synthetic data generators with referential integrity and validating against downstream workloads.What's In It For You:
Build from the beginning: Help define our AI architecture, strategy, and best practices not just implement someone else’s vision.
Real-world impact: Your work will directly reduce customer effort and accelerate implementations.
Production-first mindset: We care about reliability, security, and governance, AI that actually runs in the real world.
Small, senior team: High ownership, high trust, and direct influence on technical direction.
Room to grow: As our AI platform grows, so will your scope and leadership impact.
The base salary range for this role is listed above. Total compensation ultimately depends on the candidate’s primary work location, job responsibilities, role requirements, relevant experience and skillset.
Beyond traditional insurance offerings (that all start on day one), Finvi offers a wide variety of additional benefits like flexible time off, employer 401k match with no wait period, paid time off to volunteer, paid parental leave, and more. Learn more about all our benefit offerings on our website.
Why Finvi
Finvi is a fast-paced, challenging, and technology-transforming company. Our culture fosters an environment where you can think creatively, push yourself to new possibilities, and challenge each other to accomplish personal and professional goals. We believe that every moment, idea, and voice count. By bringing together different ideas and perspectives, we can innovate and step forward.
Our values embody who we are: have grit, own your impact, row together, embrace differences, and act transparently.
Finvi's Equal Opportunity Statement including Veterans and Individuals with Disabilities
It is the policy of Finvi to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruitment or recruitment advertising, hiring, placement, promotion, transfer, demotion, layoff, recall, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, including apprenticeship, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational qualifications, business necessity or age limitations will be adhered to by the company where appropriate. For more information, read Finvi’s full Equal Opportunity Statement here.
Work Authorization
Visa sponsorship or transfer of an existing visa is not available for this position. Eligible candidates must be authorized to work directly for any employer in the United States without visa sponsorship or transfer.
This is a unique opportunity to help shape our AI strategy from the ground up and deliver production-grade AI systems that customers can trust.
The Role
As a Senior AI Engineer, you will design and build AI-powered automation that tackles the most time-consuming aspects of data migration and data exchange, processing, mapping, validation, transformation, reconciliation, and documentation within a highly secure, auditable environment.
You’ll create reliable, production-ready AI services that integrate deeply into our data pipelines, reduce manual workflows, and enable faster, safer implementations. You’ll work closely with data engineering, platform, and business stakeholders to bring AI capabilities into production while meeting stringent governance, security, and compliance requirements.
This is a hands-on role for someone who enjoys both building and shaping and developing real systems while helping define best practices, guardrails, and patterns for AI across the company.
What You'll Do
Design & Build LLM‑Powered Automation
- Develop AI agents and workflows to automate schema mapping, transformation rule discovery, code generation (SQL, dbt, Spark), data quality rule authoring, and reconciliation explanations.
- Build AI copilots that assist with impact analysis (e.g., schema changes), field‑level mapping suggestions, and lineage documentation.
- Partner with data engineers and analysts to ensure AI outputs are practical, explainable, and trustworthy.
Build and ship robust microservices and functions that integrate LLMs (via APIs or on‑prem models) into our data stack.Implement observability and reliability patterns including metrics, tracing, logging, caching, retries, rate limits, quotas, and circuit breakers to manage cost, performance, and resilience.Design systems with production constraints in mind—not prototypes.Automation, Analysis & Data Generation
Develop tools for automated exploratory data analysis, anomaly detection triage, and explainable data quality insights.Build safe synthetic and test data generators conditioned on schemas and constraints.Implement privacy‑preserving techniques such as PII redaction, tokenization, and masking.Governance, Security & Compliance
Enforce strong AI guardrails: prompt hardening, content filtering, policy checks, and intelligent model routing.Integrate with secrets management, KMS/HSMs, VPC or private networking, audit logging, and access controls (RBAC/ABAC).Collaborate with stakeholders on model risk assessments, data residency, retention, and usage policies.Implement deterministic and provable AI flows where required.Quality, Evaluation & Reliability
Build automated evaluation pipelines for LLM outputs—covering accuracy, coverage, drift, bias, safety, latency, and cost.Introduce human‑in‑the‑loop (HITL) review workflows for business‑critical mappings and transformations.Continuously improve system quality through feedback loops and experimentation.Documentation & Enablement
Document AI capabilities, limitations, and operational playbooks.Create reusable prompt libraries, templates, SDKs, and internal tooling.Enable data engineers and analysts to effectively use AI features and adopt them into CI/CD workflows.What You'll Need
8+ years of experience in software or data engineering, with 2+ years building AI/ML or LLM‑powered systems.Strong programming skills in Python (and/or Scala, Java, or TypeScript).Proven experience delivering production microservices (REST/gRPC) with CI/CD.Hands‑on experience with LLM orchestration frameworks and concepts such as LangChain, LlamaIndex, OpenAI SDKs, prompt engineering, RAG, and tool/function calling.Experience integrating AI into data platforms and data models.Solid knowledge of data quality, metadata, lineage, schema evolution, ETL/ELT patterns, and API‑based data exchange.Strong security fundamentals: secrets management, encryption/tokenization of sensitive data, network isolation, audit logging, and role‑based access control.Practical understanding of LLM evaluation methodologies (ground‑truth sets, rubric scoring, hallucination mitigation, A/B testing).Experience with Boomi and/or Boomi AI for working with foreign file formats and building data exchanges.Preferred Qualifications
Experience working in regulated or privacy‑sensitive environmentsHands‑on experience with open‑source and commercial models (Llama, Mistral, GPT‑4/4.1/4o, Claude) and local inferenceBackground in data interchange standards and B2B integration patternsExperience building constraint‑aware synthetic data generators with referential integrity and validating against downstream workloads.What's In It For You:
Build from the beginning: Help define our AI architecture, strategy, and best practices not just implement someone else’s vision.
Real-world impact: Your work will directly reduce customer effort and accelerate implementations.
Production-first mindset: We care about reliability, security, and governance, AI that actually runs in the real world.
Small, senior team: High ownership, high trust, and direct influence on technical direction.
Room to grow: As our AI platform grows, so will your scope and leadership impact.
The base salary range for this role is listed above. Total compensation ultimately depends on the candidate’s primary work location, job responsibilities, role requirements, relevant experience and skillset.
Beyond traditional insurance offerings (that all start on day one), Finvi offers a wide variety of additional benefits like flexible time off, employer 401k match with no wait period, paid time off to volunteer, paid parental leave, and more. Learn more about all our benefit offerings on our website.
Why Finvi
Finvi is a fast-paced, challenging, and technology-transforming company. Our culture fosters an environment where you can think creatively, push yourself to new possibilities, and challenge each other to accomplish personal and professional goals. We believe that every moment, idea, and voice count. By bringing together different ideas and perspectives, we can innovate and step forward.
Our values embody who we are: have grit, own your impact, row together, embrace differences, and act transparently.
Finvi's Equal Opportunity Statement including Veterans and Individuals with Disabilities
It is the policy of Finvi to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruitment or recruitment advertising, hiring, placement, promotion, transfer, demotion, layoff, recall, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, including apprenticeship, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational qualifications, business necessity or age limitations will be adhered to by the company where appropriate. For more information, read Finvi’s full Equal Opportunity Statement here.
Work Authorization
Visa sponsorship or transfer of an existing visa is not available for this position. Eligible candidates must be authorized to work directly for any employer in the United States without visa sponsorship or transfer.
Benefits
health insurance · flexible time off · employer 401k match · paid time off to volunteer · paid parental leave
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