Jobs in the United States

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Added 7 mins ago
Principal AI Platform and Model Operations Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
We are seeking a hands-on AI Platform Operations Engineer to own and mature the end-to-end platform and lifecycle mechanisms that move AI models, prompts, retrieval assets, dependencies,…
Added 15 mins ago
A
Electrical Engineer
Actalent
Halfmoon, NY
- $120,000 to $160,000 USD / year
Electrical Engineer - Power Electronics & LED Systems
Added 17 mins ago
J
Senior Electrical Engineer
Jobgether
Remote, United States
- $120,000 to $150,000 USD / year
As a Senior Electrical Engineer, you will lead the technical quality and delivery of complex electrical engineering projects, ensuring that all designs meet the highest technical and safety…
Added 24 mins ago
TV
Director, Capital Design and Construction Engineering, Full Time, Day
The Valley Hospital
United States
- Full-time
Proven ability to lead and motivate a project management team, manage performance and foster a collaborative environment.
Added 29 mins ago
IR
Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
The AI Platform Engineer is that person. This is a technical operations role, not a user-facing one. This role is responsible for keeping the IRC's enterprise AI environment running…
Added 32 mins ago
Transmission Line Project Engineer (Rocky Mountain)- Remote
WSP USA
Bozeman, MT · Billings, MT
WSP is seeking a Transmission Line Project Engineer to join our Power Delivery Team. This position offers a flexible work arrangements, with the option to work remotely or from one of our…
Added 33 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Helena, MT
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 33 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Helena, MT
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 38 mins ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
…across the data analytics lifecycle, from data acquisition and management to analysis and decision…
Added 38 mins ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
…across the data analytics lifecycle, from data acquisition and management to analysis and decision…
Added 38 mins ago
PN
Early Career Software Engineer
Pacific Northwest National Laboratory
Richland, WA
- $83,100 USD / year
…across the data analytics lifecycle, from data acquisition and management to analysis and decision…
Added 38 mins ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
…across the data analytics lifecycle, from data acquisition and management to analysis and decision…
Added 48 mins ago
Senior Quality Assurance Engineer
Pearson
Remote, United States
As a QA Engineer, you will oversee quality assurance activities associated with software analysis. This includes developing test plans, performing exploratory testing and executing…
Added 50 mins ago
J
Senior Infrastructure Security Engineer
Jobgether
Remote, United States
- $170,000 to $210,000 USD / year
…Our partner is looking for a Senior Infrastructure Security Engineer based in United…
Added 50 mins ago
J
Java Product Engineer / Full Stack Java Developer
Jobgether
Remote, United States
- $90,000 to $110,000 USD / year
…applications and next steps. Our partner is looking for a Java Product Engineer / Full Stack Java Developer based in the United…
Added 50 mins ago
IBM Maximo Senior Business Analyst
Jobgether
Remote, United States
The IBM Maximo Senior Business Analyst will lead the design, implementation, and optimization of enterprise asset management solutions supporting critical federal operations.
Added 50 mins ago
Engineering Manager- Data Collection & Scanning
Jobgether
Remote, United States
…maintaining high hiring standards, and improving onboarding and performance…
Added 1 hour ago
Field Coordinator
Entergy
Clinton, MS
Directly supports construction activities, inventory and material management, equipment logistics, and outage management for the execution of capital projects within the Power Delivery and…
Added 1 hour ago
Process Engineer for New Programs SG 24
PACCAR Inc
Columbus, MS
Added 1 hour ago
Mechanical Engineer - Boston, MA
Serco
Gulfport, MS · Pascagoula, MS
As the Mechanical Engineer for our LCU 1700 program, you will work onsite at our office in either Boston, MA or Pascagoula, MS, where will you will be part of a 12-person Engineering team…
Added 1 hour ago
Software Engineer II- ECM Specialization
Emergent Holdings, Inc.
Jackson, MS
Added 1 hour ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Jackson, MS
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 1 hour ago
AI Solutions Lead
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC · CHANDLER, AZ · IRVING, TX · DES MOINES, IA · SALT LAKE CITY, UT · SHORT HILLS, NJ · SAINT LOUIS, MO · MINNEAPOLIS, MN
Wells Fargo is seeking an AI Solutions Lead to own AI solution delivery within Wealth & Investment Management. This is a single shape-and-build role - a hybrid of a Forward Deployed…
Added 1 hour ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Providence, RI
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 1 hour ago
Sr Principal Engineer - 2292
Kioxia
Remote, United States
Sr. Principal Engineer for KIOXIA's Innovation Lab, working on shaping the future of storage architecture, AI infrastructure, and ecosystem partnerships. This role leverages deep expertise…

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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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

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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

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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

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