Jobs in the United States

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Added 1 hour ago
Consulting Architect - Search
Elastic
United States
Professional Expertise: 5+ years as a consultant, architect, or engineer with deep expertise in Search, and a strong capability in security and Observability domains.
Added 2 hours ago
Research Engineer, Cybersecurity RL
Anthropic
San Francisco, CA · New York City, NY
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation,…
Added 2 hours ago
Software Development Engineer, Fees Tech
Amazon
Seattle, WA
You will work alongside senior and principal engineers, product managers, applied scientists, and ML engineers across the full fee lifecycle - from the Fee Calculation Engine through…
Added 3 hours ago
New College Grad - Process Engineer - Doctorate (Winter 2026)
Applied Materials
Santa Clara, CA
As a Process Engineer, you'll play a critical role in solving our customers’ biggest challenges by designing and optimizing semiconductor manufacturing processes. You will work on some of…
Added 3 hours ago
New College Grad - Process Engineer - Doctorate (Winter 2026)
Applied Materials
Santa Clara, CA
As a Process Engineer, you'll play a critical role in solving our customers’ biggest challenges by designing and optimizing semiconductor manufacturing processes. You will work on some of…
Added 3 hours ago
Software Development Engineer, PXT Central Science
Amazon
San Francisco, CA · Sunnyvale, CA
As a Software Development Engineer on PXTCS, you'll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI…
Added 3 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Five to eight years of experience in forward deployed engineering, applied AI, technical consulting, or a similar hands-on delivery role.
Added 3 hours ago
TT
Software Engineer, Marketplace
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $300,000 USD / year
Build the infrastructure that supports expert acquisition, onboarding, and matching for an applied AI data company. You will partner closely with the growth team to create tools and systems…
Added 4 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 4 hours ago
Senior Software Development Engineer, Robotics Perception
Amazon.com Services LLC
Wilmington, MA · North Reading, MA
As a Senior Software Development Engineer on our on-robot software team, you will lead productization across perception, localization and mapping (SLAM), navigation, and spatial memory on…
Added 4 hours ago
C
Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
- Production applied AI experience in areas such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendations, algorithms, or machine learning research.
Added 5 hours ago
Applied AI Engineer (Python/AI)
Brightplan
Remote, United States
We are looking for an Applied AI Engineer to help build and expand AI-powered product features across our platform, with an initial focus on enhancing our AI Coach experience.
Added 5 hours ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 6 hours ago
BN
Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale and building toward becoming a leader in AI. As an Applied AI/ML Engineer, you'll ship AI-powered products end-to-end on top of our growing…
Added 6 hours ago
Program Manager - Field CTOs - US
Cognition
San Francisco, CA
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.
Added 7 hours ago
W
Software Engineer II | Bentonville, Arkansas
Walmart
BENTONVILLE, AR
- $80,000 to $155,000 USD / year
As a Software Engineer II, you will deliver high-quality software solutions by collaborating with cross-functional teams to design, develop, and maintain scalable applications and services.…
Added 9 hours ago
TA
Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
- $132,900 to $249,600 USD / year
Project Leader/Senior Project Engineer to join the EOFDD team. The selected candidate will provide expertise for a wide range of customer flight mechanics needs, supporting both analysis…
Added 9 hours ago
Applied AI Engineer
Becoming
San Francisco, CA
We are seeking an Applied AI Engineer to help build the software, infrastructure, and data systems that power our biological intelligence platform.
Added 9 hours ago
AM
2026-2027 Process Engineer Co-op - Doctorate (Gloucester, MA)
Applied Materials
Gloucester, MA
- $47 to $50 USD / hour
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 9 hours ago
AM
2027 Spring Electrical Engineer (Controls, PCB) Co-op BS or MS (Gloucester, MA)
Applied Materials
Gloucester, MA
- $31 to $41 USD / hour
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 11 hours ago
M
Senior AI Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Drive the delivery of features by operating at the true intersection of SWE, applied science, product, and domain expertise, where a single AI engineer can unlock disproportionate impact by…
Added 12 hours ago
Senior AI Engineer
Atria Health and Research Institute
Remote, United States
As a Senior AI Engineer at Atria, you will own the design, development, and production deployment of the LLM-powered systems that put AI directly in front of clinicians and members: agentic…
Added 13 hours ago
AC
Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $300,000 USD / year
We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Agentic AI Security who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk…
Added 14 hours ago
Applied AI Engineer
Fuse Energy
Remote, United States
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory:…
Added 14 hours ago
Applied AI Engineer
Fuse Energy
Remote, United States
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory:…

Closed listing

First Electronic Bank

Senior Software Engineer- AI & Data Platforms

Salt Lake City, UT, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 5+ years of production data engineering experience, or equivalent scope, delivering reliable cloud-based solutions.
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans and their businesses. Partnering with some of the most innovative fintech companies in the nation, we offer a wide range of consumer and commercial credit and deposit products on a national basis. Offering deposit accounts and debit cards, revolving lines of credit, private-label credit cards, installment financing programs and more, FEB engages with strategic, collaborative partners, promoting services and products to provide the most beneficial consumer and commercial financing solutions.

We are engineering toward self-healing operations, reflex-speed decisions, and intelligent automation with a clear audit trail. We want systems that do more than surface information: they help the bank respond, recover, and act with control. Independently lead high-impact data engineering workstreams from problem definition through measurable production outcomes. Build reliable pipelines, trusted data models, and governed AI workflows, owning design, delivery, operational readiness, and results within Engineering standards.

Combine deep Python and SQL engineering with coding agents, retrieval systems, and targeted small-model experimentation. Evaluate architectures across approved cloud platforms based on security, correctness, performance, recoverability, and cost. Help establish how intelligent systems access and protect enterprise data, turning proven approaches into reusable team patterns.

Representative work: Modernize warehouse and lakehouse pipelines; integrate partner data through APIs, files, and secure shares; design event-driven data flows; strengthen reconciliation and automated recovery; build permission-aware agents; and evaluate emerging defenses in isolated environments.

What You'll Do:

End-to-end ownership: Clarify problems and success measures; design solutions within established architecture; manage dependencies and risks; and drive delivery within assigned workstreams, following Change Management processes, through adoption, production support, troubleshooting, and improvement. Data platforms and event-driven systems: Build secure batch, streaming, and message-driven pipelines and reusable data services. Evaluate compute placement, data movement, throughput, latency, delivery guarantees, recoverability, and operating cost. Apply FinOps discipline: monitor cloud compute and storage spend, identify wasteful patterns, and right-size workloads. Correctness and resilience: Engineer idempotent, replayable pipelines with deduplication, schema-evolution handling, and late-arriving data support. Build reconciliation, control-total, checkpoint, and bounded automated recovery tooling with human escalation, supporting Finance and Operations sign-off. Trusted analytics: Develop curated datasets, documented models, and semantic layers for internal and partner-facing reporting. Partner with business users and BI on definitions, validation, lineage, and controlled access. Agentic coding: Delegate bounded tasks to approved coding agents, supply repository context, manage handoffs, and independently validate generated code and data. Retain human ownership of quality, security, and release decisions. Governed AI workflows: Build retrieval and tool-using agents over approved data and MCP servers. Implement permission-aware access as defined by data owners briefed by Security, along with state management, evaluations, tracing, recovery, and approvals. Treat retrieved content as untrusted. Defensive AI engineering: Build and test defensive AI controls in partnership with Security, including segmented agent trust zones, isolated execution, policy-enforced access, and auditable tool use. Work within Security-provided sandbox environments and governance to evaluate emerging AI security and adversarial testing techniques through controlled, authorized exercises, producing evidence of meaningful testing to support go-live decisions. Measure containment, detection, and effects on legitimate workflows. Applied modeling: Prototype small-model or machine-learning applications for classification, extraction, entity matching, and data-quality triage. Compare reproducible evaluations against simpler approaches before recommending production use. Production accountability: Own reliability, operational readiness, runbooks, and remediation within assigned workstreams, following Change Management processes; collaborate on?CI/CD, identity, networking, secrets, observability, capacity, incidents, and costs. Produce audit evidence, support control testing, and maintain rollback plans and appropriate human approvals. Team leverage: Mentor through design and code reviews; convert proven approaches into reusable components and playbooks. Help develop validated engineering and security patterns.

Requirements

What We're Looking For:

5+ years of production data engineering experience, or equivalent scope, delivering reliable cloud-based solutions.
Demonstrated success independently leading ambiguous work through sustained production use while mentoring engineers and improving team practices.
Strong Python and advanced SQL, including automated testing, query-plan analysis, performance tuning, and transformation validation.
Production experience with Snowflake, Microsoft Fabric, Azure, AWS, or a comparable platform, including orchestration and data modeling. Depth and transferable judgment matter more than familiarity with every listed product.
Experience integrating APIs, files, databases, or data shares, including incremental processing, backfills, schema changes, reconciliation, and recovery.
Demonstrable use of coding agents to delegate meaningful work, manage context and handoffs, verify changes, and deliver tested results.
Hands-on experience building a retrieval, agent, or LLM-enabled workflow over real data; understanding of evaluation, prompt-injection risks, permission boundaries, and limitations.
Practical knowledge of CI/CD, infrastructure as code, least privilege, secrets management, observability, and troubleshooting.
Ability to translate ambiguous business needs into focused solutions and explain tradeoffs to non-technical users.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

Preferred Qualifications:

Advanced Snowflake engineering, including secure sharing, Snowpark, performance optimization, and cost governance.
Microsoft Fabric, Azure Data Factory, Synapse Analytics, Dataverse, Power BI semantic models, or warehouse-to-lakehouse modernization.
Event streaming and enterprise message queues, including Azure Service Bus and Azure Event Hubs alongside Apache Kafka, IBM MQ, and comparable platforms ; partitioning, ordering, replay, idempotent consumers, backpressure, and failure recovery.
AWS data services, secure cross-cloud integration, infrastructure automation, or private-network architectures.
Production agent systems, MCP integrations, persistent state, evaluation, tracing, and recovery.
Agent security, sandboxing, adversarial evaluation, or deception engineering; familiarity with emerging AI security research is a plus, not a prerequisite.
Small-model fine-tuning, LoRA/PEFT, quantization, self-hosted inference, or reproducible model evaluation.
Banking, fintech, payments, or another regulated environment.
Relevant certifications, or a master's or doctoral degree in a related field.

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More about this job

Skills

Data engineering
Python
SQL
Change management
Troubleshooting
Reporting
Machine learning
CI/CD
Coaching
Test automation
Snowflake
Microsoft Azure
AWS
Data modelling
Workflow
Infrastructure as code
Computer science
Computer technology
Microsoft Azure Data Factory
Google Analytics
Microsoft Power BI
Apache Kafka
Research

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