Jobs in the United States

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Added 4 mins ago
ME
Forward Deployed Engineer
MISO Energy
Carmel, IN
- $190,000 to $215,000 USD / year
The Forward-Deployed AI Engineer will transform MISO’s most important business challenges into practical, production-ready AI solutions. Working side‑by‑side with domain experts, this role…
Added 4 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Indianapolis, IN
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 4 mins ago
Platform Engineer - Remote
SitusAMC
Indianapolis, IN
Added 8 mins ago
DevOps Engineer
Wafer
San Francisco, CA
We're looking for a hands-on DevOps engineer to make it easier for our team to build, test, ship and work securely. You'll own practical tooling and automation across our development…
Added 10 mins ago
IG
AI Engineer
Insight Global
Boca Raton, FL
- From $68 USD / hour
Added 18 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Montgomery, AL · Huntsville, AL · Birmingham, AL
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 18 mins ago
Platform Engineer - Remote
SitusAMC
Montgomery, AL
Added 29 mins ago
Site Reliability Engineer- TS/SCI w/poly
GD Information Technology, Inc.
United States
Advance how our customers operate while you advance your career. Join GDIT as a Site Reliability Engineer tor and build an impactful career in enterprise IT, collaborating with people who…
Added 37 mins ago
Cyber Security Engineer
Williams International
Pontiac, MI
…International has an exciting opportunity for a Cyber Security DevOps Engineer (SecDevOps) to join our team. This role plays a critical part in building, maintaining, and enforcing…
Added 37 mins ago
Sr Prin Security Engineer
Consumers Energy
JACKSON, MI
The Senior Principal Security Engineer will support the organization’s most critical security initiatives, serving as both a technical expert and strategic leader. This role is responsible…
Added 37 mins ago
Software Engineer
Meijer
Grand Rapids, MI
The Software Engineer, AI designs, develops, tests and supports AI-enabled software applications and services as a member of an Agile development team. This position is part of the AI team…
Added 38 mins ago
S
Framework Operations Engineer
SciTec
Boulder, CO
- $132,000 to $157,000 USD / year
SciTec has an immediate opportunity for a Framework Operations Engineer. The Framework Operations Engineer is responsible for the deployment, operation, maintenance, and continuous…
Added 1 hour ago
ZE
Product Engineer (Remote - US CT/ET)
Zen Educate
Remote, United States
- $130,000 to $190,000 USD / year
We are a small, but mighty team and so every engineer has the opportunity to make an outsized impact and put their stamp on what excellence looks like in practice. What do I mean by…
Added 1 hour ago
FT
Associate Software Engineer - Full Stack Developer
Franklin Templeton
Baltimore, MD
- $100,400 to $118,200 USD / year
Added 1 hour ago
Snowflake Data Engineer
EXL Talent Acquisition Team
NY
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have…
Added 2 hours ago
AWS DevOps/Security Engineer Senior/Architect
Jobgether
Remote, United States
…next steps. Our partner is looking for an AWS DevOps/Security Engineer Senior/Architect based in the United…
Added 2 hours ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
At least 5 years of professional experience as an Information Systems Architect, Technical Architect, Software Engineer, Enterprise Systems Architect, or in a closely related position.
Added 3 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 3 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 3 hours ago
II
Senior PKI & Cryptographic Infrastructure Engineer
IDR Inc.
Denver, CO
- $90 to $95 USD / hour
IDR is seeking a Senior PKI & Cryptographic Infrastructure Engineer to join one of our top clients for a remote opportunity. In this role, you will lead the enhancement and automation of…
Added 3 hours ago
IS
Cybersecurity Engineer
Infinity Systems Engineering
Colorado Springs, CO
- $30 to $50 USD / hour
We are seeking a Cybersecurity Systems Engineer to join our professional engineering team. This position will support cybersecurity assessments and hardening of operational and support…
Added 3 hours ago
E T Consultant
World Bank Group
Washington, DC
ITSFE is seeking a skilled and experienced Solution Engineer to join our growing team as an ET Consultant. The Solution Engineer will design, build, enhance, and support web-based solutions…
Added 3 hours ago
Full Stack Java Engineer
Miratech
Remote, United States
We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational…
Added 3 hours ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…product, and forward-deployed engineering teams, and with the engineer who owns vLLM vulnerability management when an upstream issue affects our product. You'll set the direction for…
Added 3 hours ago
Software Engineer- Semiconductor Technology (C#/.NET)
Keysight Technologies, Inc.
Santa Rosa, CA
Location: This role requires an in-person, hands-on engineer who can physically work with the manufacturing systems in Santa Rosa, CA.

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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