Remote jobs in the United States

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Added 56 mins ago
Principal Software Development Engineer (AI Innovation)
CVS Shared Services Resources LLC
Remote, United States
The Principal Software Development Engineer will drive innovative, enterprise-wide solution designs at the business unit level for highly complex, strategic initiatives. In this high-impact…
Added 1 hour ago
TH
Engineering Manager, Copilot
Twin Health
Remote, United States
- $200,000 to $220,000 USD / year
Lead, hire, and grow a team of full-stack engineers. Run 1:1s, set clear expectations, give direct feedback, and invest in each engineer's development and career growth.
Added 2 hours ago
SI
Specialist Solution Engineer - Tableau
Salesforce, Inc.
Remote, United States
- $157,640 to $231,980 USD / year
…expertise meets a higher purpose. As a Specialist Solution Engineer for Analytics (Tableau) on the Federal Civilian team, you’ll help agencies turn data into decisions and mission…
Added 2 hours ago
GEOINT Sensor Support Engineer (Ramstein AFB, Germany)
RTX
Remote, United States
Script Language knowledge to include PowerShell, Python, Java, Ruby, Bash, Perl, PHP, etc.
Added 2 hours ago
Solutions Engineer, Splunk
Cisco Systems, Inc.
Remote, United States
Splunk, a Cisco company, is looking for a Solutions Engineer to be the trusted technical advisor for a set of enterprise accounts. You’ll help customers get real value from the Splunk…
Added 3 hours ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models,…
Added 3 hours ago
DMG Analyst (Multiple Levels)
Machinify
Remote, United States
…possible before. If you’ve spent years as a DBA or database engineer and want your work to have a direct, measurable impact on healthcare costs, we’d love to…
Added 3 hours ago
Lead Site Reliability Engineer - Remote
SAMC SitusAMC Holdings Corp
Remote, United States
Experience in Scripting and Automation using any Scripting Language preferably Python
Added 3 hours ago
Lead Engineer Data
Empower Retirement, LLC
Remote, United States
The Lead Data Engineer provides hands-on technical leadership in the design, development, and optimization of scalable data pipelines, ingestion frameworks, and data platforms. This role…
Added 4 hours ago
Azure Data Engineer- Lead
Spyglass
Remote, United States
As a Lead Azure Data Engineer, you will work as part of our Azure Data and Analytics practice by leading the design, development, and delivery of modern cloud data solutions for our…
Added 4 hours ago
RE
Principal Incident Response Engineer
RGA Enterprise Services Company
Remote, United States
- $126,710 to $188,840 USD / year
The Principle Incident Response Engineer ("DFIR") leads complex cyber investigations, strengthen RGA's enterprise resilience, and guide security teams through critical incidents. This role…
Added 4 hours ago
AS
Lead Data/AI Engineering
AT&T Services, Inc.
Remote, United States
- $158,200 to $237,400 USD / year
Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and…
Added 4 hours ago
AS
Principal Software Engineering
AT&T Services, Inc.
Remote, United States
- $174,100 to $261,100 USD / year
As a Principal Software Engineering, you will be a lead architect for AT&T's AI-powered tools, automation platforms, and Agentic AI ecosystem, responsible for building and scaling the…
Added 4 hours ago
DI
GTM Engineer
Discern Inc.
Remote, United States
- $140,000 to $165,000 USD / year
- Turn organic traffic into pipeline. Strengthen analytics, attribution, visitor identification, and lead routing so every high-intent visitor gets the right follow-up.
Added 4 hours ago
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Senior Full Stack Software Engineer - Shared Services
Bluesight
Remote, United States
- $130,000 to $145,000 USD / year
As a Senior Full-Stack Software Engineer on the Shared Services team at Bluesight, you will spearhead the design, development, and maintenance of both front-end and back-end applications.…
Added 4 hours ago
T
Senior Data Engineer
Tala
Remote, United States
- $130,000 to $200,000 USD / year
We are looking for a Senior Data Engineer to help build, operate, and continuously improve the data infrastructure that powers analytics and business intelligence across Tala's global…
Added 4 hours ago
Senior Software Engineer
Destination Pet LLC
Remote, United States
Our IT team is seeking a Senior Software Engineer with full stack experience in Vue.js and developing APIs. This role will provide key software development and solution design to the…
Added 5 hours ago
Principle Systems Engineer - Autonomy Behavior Validation
General Motors LLC
Remote, United States
As a Principal Autonomy Behavior Systems Engineer, you will be the technical authority for how GM's autonomous vehicle behavior is defined, evaluated, and judged ready for release. Your…
Added 5 hours ago
Senior Software Engineer, Pentest Experience
Horizon3
Remote, United States
…security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of…
Added 5 hours ago
Lead Mission Engineer - Full Stack
STR
Remote, United States
As a Mission Engineer (Full Stack) in the Mission Applications Group, you will develop and deploy software essential for a specific, real-world objective or "mission" in partnership with…
Added 5 hours ago
Senior Data Engineer, Data Foundations
Natera
Remote, United States
We are looking for a Senior or Staff Data Engineer to join the Foundations team and build governed, trusted, reusable data products (Data 360s - e.g., Patient, Provider, Order, Clinical…
Added 5 hours ago
Staff Agentic Data Engineer – Data Platform
Nucleus Security
Remote, United States
We're looking for a Staff / Principal Data Engineer to help define and evolve the architecture behind our data platform. This is a senior technical leadership role for an engineer who…
Added 6 hours ago
Staff AI Engineer | Agentic Systems
Machinify
Remote, United States
We're hiring an L6 AI Engineer to own entire problem areas, not tickets. You'll walk into vague, high-stakes business problems - "our DRG audit findings aren't holding up on appeal," "we…
Added 6 hours ago
Solar Portfolio Engineer
ACT Power Services
Remote, United States
Each Portfolio Engineer will act as the main technical contact for assigned facilities that will range from 500kW to 200+MW in size. The Portfolio Engineer will lead internal and external…
Added 6 hours ago
Data Engineering - 6594277
Accenture Flex LLC Company
Remote, United States
Utilize strong SQL Python expertise to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features

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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