Jobs in the United States

25+ jobs

Save this search

Added just now
RH
Sr. Data Engineer
Robert Half
Minneapolis, MN
- $115,000 to $144,000 USD / year
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will…
Added 5 mins ago
Senior Site Reliability Engineer
Applaudo Studios
Louisville, KY
You are a Senior Site Reliability Engineer with strong cloud and reliability engineering fundamentals and the versatility to work across edge infrastructure, enterprise networking, mobile…
Added 7 mins ago
Senior Firmware Engineer
Andrews Cooper Technology LLC
Snoqualmie, WA
…Consumer Technology, Medical Technology, Clean Technology, and Automation & Robotics. With a mission to solve novel, ambiguous challenges, we help our customers achieve significant…
Added 9 mins ago
W
Distinguished, Software Engineer
Walmart
SUNNYVALE, CA
- $169,000 to $338,000 USD / year
· Champion the application of AI, automation, code intelligence, and modern engineering practices to improve developer productivity, accelerate modernization, strengthen engineering…
Added 23 mins ago
Software Engineer, Triage Services
Apple
Cupertino, CA
…for all technologies developed by Core OS. This role blends distributed systems engineering with hands-on agent development, tackling problems in reliability, scale, and system design…
Added 28 mins ago
Software Development Engineer II, Selling Partner Trust & Compliance
Amazon.com Services LLC
Seattle, WA
We will be delivering a wide range of automation and experiences using big data sets and distributed frameworks. You will develop innovative solutions for our Seller Trust experiences. You…
Added 28 mins ago
Software Development Manager, AWS Tagris
Amazon Development Center U.S., Inc.
Seattle, WA
The AWS Identity team owns and operates highly scalable, highly available distributed systems that are used by all AWS customers and internal service teams alike. We are pioneers in areas…
Added 28 mins ago
Senior System Development Engineer, Leo - Payload and Terminals
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Experience with RF testing equipment automation using SCPI and a various RF equipment Python libraries like PyVisa.
Added 28 mins ago
Software Dev Engineer, Antenna Calibration, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
As a Software Engineer for antenna calibration, you will collaborate with systems architects, hardware engineering design teams & FW/SW design teams to bring up and test systems combining…
Added 31 mins ago
Principal Site Reliability Engineer (AIOps)
Palo Alto Networks, Inc.
CA
Palo Alto Networks runs a large hybrid infrastructure and is one of the largest GCP customers. As a Sr Principal DevOps Engineer, you will be part of a team supporting the services running…
Added 33 mins ago
Digital Innovation Software Engineering Leader
Barry-Wehmiller
Remote, United States
…talent acquisition, and people management for a single software engineer…
Added 37 mins ago
CS
Cloud Engineer II (Full Time) - United States
Cisco Systems, Inc.
Milpitas, CA
- Full-time
The team is made up of builders and problem-solvers who enjoy tackling complex distributed systems challenges while supporting highly scalable, resilient, and observable services in…
Added 43 mins ago
AVP, DevOps Engineer
LPL Financial Corp
Austin, TX
…Dynatrace and similar OTEL, enable the development of intelligent automation and AI-powered operational capabilities, and drive adoption of modern reliability engineering practices across…
Added 56 mins ago
DE
Principal Software Engineer
Disney Entertainment & Sports LLC
Glendale, CA
- $191,300 to $256,500 USD / year
10+ years of professional software engineering experience, including substantial hands-on experience in test automation and quality engineering for large-scale, distributed, cloud-based…
Added 57 mins ago
IG
Lead Quality Engineer, Test Automation & AI Products
Insight Global
Louisville-Jefferson County, KY
- From $62 USD / hour
API and backend automation, plus testing of distributed apps, messaging and integrations
Added 57 mins ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 57 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting…
Added 58 mins ago
A
Embedded Software Engineer
Actalent
North Reading, MA
- $75 to $85 USD / hour
…robotic platforms. The position is ideal for an embedded software engineer who enjoys writing code daily, working close to hardware, and solving complex hardwaresoftware integration…
Added 1 hour ago
Senior Controls Engineer - Switchgear
Generac Power Systems Inc
IL · Chicago, IL
The Senior Controls Engineer – Switchgear position oversees the development, execution and delivery of control systems projects for the switchgear market.
Added 1 hour ago
Senior QA Engineer
Cross River
Remote, United States
We are looking for an experienced Senior QA Engineer who is passionate about building quality into software from the beginning, not simply testing it at the end. You will play a key role in…
Added 1 hour ago
L
Warehouse AI Orchestration Lead
Loadsmart
Remote, United States
- $120,000 to $155,000 USD / year
With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our…
Added 1 hour ago
Lead Software Engineer
Kawneer
Alpharetta, GA · Norcross, GA
Arconic is currently in search of a Lead Software Engineer to join our Kawneer Business in Alpharetta, GA.
Added 1 hour ago
Principal Engineer, Clinical Data and AI Platforms
CVS Health
Work at Home, CT · Work At Home, CA · Work At Home, FL · Work At Home, IL · Work At Home, MA · Work At Home, NJ · Work At Home, NY · Work At Home, PA · Work At Home, RI · Work At Home, TN · Work At Home, TX · Work At Home, VA · Work At Home, WA
…into insight for patients, providers and payers. As Principal Engineer, you'll design and build that platform on Google Cloud, and lead how our teams use AI agents to develop and operate…
Added 1 hour ago
Associate Software Engineer (Hybrid)
Vizient, Inc.
Irving, TX
Vizient is seeking an Associate Software Engineer to contribute to the design, development, testing, and delivery of scalable, secure, and user-centered software solutions.
Added 1 hour ago
Senior Staff Software Engineer, Site Reliability Engineering
Google
Mountain View, CA
3 years of experience in designing, analyzing, and troubleshooting distributed systems.

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

Apply

Applications open in a new tab.

Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Posting language: English
Posted: Nov 4, 2026

Original job description

Apply

Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).
Executive communication skills with experience influencing senior leaders.

Requirements

Must of a U.S. Citizen.as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in Python-based AI/ML systems (including large language models), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering.
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Demonstrated ability to own solutions end to end - from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
Experience with federal civilian agencies preferred.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $155k -$189k.

Salary Description

$155k - $189k

Apply

More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

Report this job