Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
Account Executive, SaaS Product Line Specialist (East)
Rubrik Job Board
VA
…backup and recovery mechanics, and security and compliance frameworks without relying solely on a Sales…
Added 8 mins ago
Data Engineer (BigQuery)
Northramp LLC
Washington, DC · Reston, VA · Bethesda, MD
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 9 mins ago
Associate Software Engineer
Carnegie Mellon University
Pittsburgh, PA
We are seeking a driven Associate Software Engineer eager to shape the future of intelligent edge systems. In this role, you will collaborate with world-class faculty, leading researchers,…
Added 9 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 9 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 12 mins ago
C
AWS Databricks Engineer
Credence
McLean, VA
- $155,000 to $185,000 USD / year
Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing,…
Added 13 mins ago
Senior Director, Decision Intelligence & Data Products
Caliber Holdings LLC
Lewisville, TX
Microsoft Azure Data Engineer / Solutions Architect
Added 14 mins ago
Research Software Engineer
Dartmouth College
NH
The Research Software Engineer at the Center for Open Neuroscience (CON) helps build infrastructure that makes neuroscience data FAIR, open, and reproducible, working on open-source…
Added 14 mins ago
AWS Cloud Security Engineer
Vertical Relevance
Remote, United States
Vertical Relevance is looking for an AWS Cloud Security Engineer to join our team as a full-time employee in New York Metro area and be available for Hybrid work. This person is responsible…
Added 15 mins ago
RU
Full Stack Engineer (70/30)
Randstad USA
Roanoke, TX
- $71 to $72 USD / hour
Client-side unit testing frameworks and test runners like Jasmine and Karma
Added 17 mins ago
P-
Software Engineer Intern
PatientPoint - Invite Only
Remote, United States
- $23 to $25 USD / hour
We're looking for a passionate Software Engineer Intern who is eager to learn, grow, and make a real impact on how patients and providers get the right health content. This is a remote…
Added 19 mins ago
Senior AWS Cloud & Agentic AI Architect
Perficient
SAINT LOUIS, MO
…cloud and on-premises systems, including MCP servers, agent frameworks, RAG architectures, knowledge bases, and document intelligence…
Added 20 mins ago
Staff System Test Automation Engineer, AI
Sonatus
Detroit, MI
Sonatus is looking for an experienced Staff System Test Engineer with deep expertise in AI testing to lead quality efforts across AI-driven embedded and cloud-connected systems. This role…
Added 20 mins ago
R
Security Engineer, Product
Rogo
New York, NY
- $270,000 to $330,000 USD / year
As a Security Engineer at Rogo, you'll be our hands-on offensive security practitioner, focused on breaking our products before adversaries do. You'll conduct deep-dive penetration testing,…
Added 21 mins ago
Associate Software Engineer
Priceline.com LLC
NY
…travel applications. We constantly explore new technologies and engineer better solutions for ever demanding user…
Added 21 mins ago
Senior AI Engineer, Release Engineering
Intercontinental Exchange Holdings, Inc.
Atlanta, GA · Jacksonville, FL · Omaha, NE
The Senior Engineer is a full-stack engineer with strong AI and large language model (LLM) expertise, embedded within the Release Engineering Development team. This team designs and…
Added 26 mins ago
Security Risk Engineer
Asana
San Francisco, CA
As the Security Risk Engineer, you will own Asana's internal security risk management program end-to-end. This is a senior role for someone who goes beyond frameworks and checklists - you…
Added 26 mins ago
Mid/Senior Full Stack Software Engineer – .NET, FinTech & AI Development
Innovest Systems LLC
Jacksonville, FL · NY · Dallas, TX
We are seeking an experienced Mid-to-Senior Full Stack Software Engineer to join our Trust Application Development team. This position will contribute to the ongoing development,…
Added 26 mins ago
Senior AWS Cloud & Agentic AI Architect
Perficient
United States
…cloud and on-premises systems, including MCP servers, agent frameworks, RAG architectures, knowledge bases, and document intelligence…
Added 28 mins ago
Developer Relations
Cerebras Systems
Sunnyvale, CA
We’re looking for an AI Engineer who loves building with new models, experimenting with developer tools, and writing about what they learn. You’ll create prototypes that demonstrate what…
Added 28 mins ago
Advanced Mechanical Design Engineer
Aerospace
Phoenix, AZ
As an Advanced Combustion Engineer in the Combustor design group at Honeywell Aerospace, you will use your expert knowledge of engineering discipline and standards, processes and tools to…
Added 28 mins ago
Jr. Software Engineer
NBC Universal
Universal City, CA
…with four key areas: (1) developing more secure and scalable frameworks for Internet-based video distribution, (2) improving security technologies and processes in content production and…
Added 29 mins ago
T
Full Stack Developer III
TEKsystems
Newport Beach, CA
- $60 to $80 USD / hour
Are you a passionate Full Stack Engineer looking to make an impact by building scalable, customer-facing applications? We're partnering with a leading enterprise organization seeking an…
Added 29 mins ago
T
Data Governance Engineer
TEKsystems
Glendale, CA
- $80 to $84 USD / hour
We are looking to hire a Governance Engineer to own the hands-on administration and day-to-day operation of
Added 30 mins ago
Infrastructure Security Monitoring Engineer
Meta
Menlo Park, CA
Meta's Infrastructure Security Monitoring (ISM) team is seeking an experienced engineer to help secure the infrastructure that connects over a billion users. You will be responsible for…

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 5, 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 to $175k.

Salary Description

$155k - $175k

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