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Lead AI ML Engineer

Role overview

Qualifications

  • 6–10+ years building software
  • 2–3+ years shipping production LLM, RAG, or NLP systems
  • Strong Python and solid software-engineering fundamentals
  • Comfort operating self-hosted open-weight models

Responsibilities

  • Build Navanta’s retrieval and verifications over data systems
  • Stand up self-hosted open-weight models serving and embeddings
  • Design the MCP tool layer for audited read-only tools
  • Build and maintain the evaluation harness for model performance

About the company

UFS Tech logo

UFS Tech

Financial Services

UFS, the technology outfitter for community banks inspires confidence for banks by providing purpose-built solutions while making technology work for banks, instead of the other way around. Created by bankers, for bankers. Nearly 30 years ago, a visionary group of community bankers collaborated to leverage the intersection of passionate people, best of breed technology, and continually evolving community expectations and regulations to empower bankers to simply be great bankers. UFS delivers confidence for community banks by providing: Managed IT services, core banking applications, cybersecurity solutions, cloud solutions, cash management and more to drive efficiency and maintain compliance. UFS empowers community banks and our people to thrive, together. We partner with community banks ranging in asset size from de novo to multi-billion dollar organizations. Our customers look to us to provide reliable, accurate, and state of the art technology solutions that help them thrive. We recognize that our people are the heartbeat of our company and are passionate, approachable, caring and intense. We treat employees and customers like family and together we form a strong collaborative community. We believe that people can, will, and do make the difference.

Company details

Company typeSME
IndustryFinancial Services
Company size51 - 200

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Job description

The Lead AI/ML Engineer owns the brain of the Navanta AI platform — retrieval, text-to-metrics, model serving, tool orchestration, and the evaluation harness that keeps answers honest. Working under the SVP of Technology and Commercial AI and in close collaboration with the data, platform, and product teams, this role makes “correct and verifiable” the product’s default — the foundation of trust in a regulated banking environment where a confident wrong number loses the account.

Key Responsibilities

·    Build Navanta’s retrieval and verifications over data systems, with shown queries and citations for every answer

·    Stand up self-hosted open-weight models serving and embeddings inside each bank’s environment or shared environments for Navanta; evolve RAG to a dedicated standard

·    Design the MCP tool layer that exposes a small, audited set of read-only tools (metrics, documents, customer 360), eventually growing into read/write tools with heavy amounts of regulated, highly sensitive data

·    Build and maintain the evaluation harness — golden-question regression, groundedness and retrieval metrics, explicit “I don’t know” behavior — and make it a release gate

·    Implement LLM guardrails: PII redaction in prompts and context, prompt-injection defenses, and cost and row limits aligned to regulatory security expectations

·    Partner with data teams so the model selects governed metrics from the semantic layer rather than improvising SQL

·    Document model architecture, evaluation methodology, and guardrail controls to support customer security reviews and audit readiness

·    Track latency, cost, and quality trade-offs across model versions and deployment configurations

Core Competencies

·    Accuracy and evaluation orientation — a demonstrated focus on verifiability and groundedness, not just compelling demos

·    Production LLM/RAG engineering: retrieval pipelines, tool orchestration, prompt engineering, and guardrail implementation

·    Security and compliance mindset: PII handling, prompt-injection defense, and least-privilege tool access aligned to NIST CSF 2.0 principles

·    Cross-functional collaboration with data and platform engineering to deliver a governed, auditable AI system

Key Performance Indicators (KPIs)

·    Golden-question accuracy — maintained or improved release over release against the verified question set

·    Groundedness rate: percentage of assistant answers fully supported by retrieved context

·    PII redaction coverage and zero prompt-injection incidents in production

·    Model serving latency and cost per query within defined targets

·    Evaluation harness adoption as a release gate — zero releases without passing the regression suite

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

·    6–10+ years building software, with 2–3+ years shipping production LLM, RAG, or NLP systems used by real people — not prototypes

·    A demonstrated focus on accuracy and evaluation, not just demos

·    Strong Python and solid software-engineering fundamentals

·    Comfort operating self-hosted open-weight models and reasoning about latency, cost, and quality trade-offs

Core Technologies

·    Languages: Python

·    Serving & inference: vLLM, Ollama; GPU / CUDA familiarity, NVIDIA Enterprise (NVAIE)

·    RAG & retrieval: LlamaIndex or Haystack; Qdrant, pgvector; embeddings

·    Orchestration: MCP, tool / function calling

·    Structured querying: text-to-SQL; semantic layers (Cube / dbt MetricFlow)

·    Evaluation & guardrails: groundedness and eval frameworks, PII redaction, prompt-injection defense

Nice to Have

·    Experience in regulated or high-stakes domains where a wrong answer is costly

·    Fine-tuning, adapters, and retrieval-quality optimization

·    Familiarity with banking and finance terminology

Education and/or Experience

·    Bachelor’s degree in computer science, mathematics, or a related technical field, or equivalent hands-on experience

·    Experience in the financial services industry or a regulated, high-accuracy AI application environment strongly preferred

Work Structure & Expectations

·    Full-time role combining ongoing model operations and evaluation with initiative-based build-out of the data retrieval, guardrail, and serving infrastructure

·    Close collaboration with data engineering, platform engineering, and product teams; on-call rotation covering reliability in production

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or touch objects, tools, or controls. The employee frequently is required to talk or hear. The employee is occasionally required to stand; walk; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds, usually waist high, up to 50 feet away. Specific vision abilities required by this job include close vision and the ability to adjust focus.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    Typical office environment

    Up to 20% travel time may be required

Who is Navanta?

Navanta is the trusted technology and services partner for community financial institutions, unifying critical systems, security, cloud infrastructure, and support into one seamless, purpose built experience. With more than 35 years of banking expertise — from Managed IT to Core Banking, CRM, and Advisory Services — Navanta helps institutions simplify complexity, reduce risk, and strengthen daily operations. Navanta empowers community bankers and their people to thrive together. Go Bankers, Go.™


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Marcus Rivera

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