Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Staff Machine Learning Engineer - Mapping
General Motors
Baton Rouge, LA
Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by…
Added 1 min ago
Power Platforms Mid Engineer
Serco
Baton Rouge, LA
Serco is looking for an experienced and enthusiastic Microsoft Power Platform Engineer capable of understanding technical details across a wide variety of disciplines to join our Maritime…
Added 1 min ago
Cyber - AI Engineer - Manager - Consulting
EY
Baton Rouge, LA · New Orleans, LA
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 1 min ago
Senior Analyst, Compliance Technology
Coinbase
Baton Rouge, LA
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 1 min ago
Senior Business Intelligence Engineer
Humana
Baton Rouge, LA
The Senior Business Intelligence (BI) Engineer engages with business value streams on diverse and complex opportunities leveraging a variety of technology platforms. The individual will…
Added 1 min ago
Platform Infrastructure Engineer
Maximus
Baton Rouge, LA
Maximus is seeking a highly skilled individual to join our team as a Platform Infrastructure Engineer. You will be responsible for the deployment and maintenance of several platforms…
Added 1 min ago
Supply Chain Capacity Engineer
Meta
Baton Rouge, LA
Meta is seeking a Planning & Capacity Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) Planning team to focus on planning optimization for all of Meta’s…
Added 1 min ago
AT
Network Infrastructure Engineer II
Akamai Technologies, Inc.
Baton Rouge, LA
- $83,200 to $149,800 USD / year
Would you enjoy building high use and highly critical global platform infrastructures?
Added 1 min ago
Core Senior .NET Software Engineer
Evolent
Baton Rouge, LA
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 1 min ago
Software Engineer II
Amentum
Baton Rouge, LA
The Software Engineer II will perform full stack development with C# program, ReactJS, MVC, Linq, and rest API development in NET Core platform. This position is US remote teleworking…
Added 2 mins ago
Founding Full-Stack Engineer (Application-Layer AI)
Skylarq AI
Remote, United States
…real-time business workflows, and building the distributed data platform that discovers and enriches millions of company & people records to power those…
Added 3 mins ago
Platform Engineer
Avaya
United States
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee…
Added 3 mins ago
C
Senior Software Engineer
Coast
New York City, NY
- $150,000 to $200,000 USD / year
We’re looking for an experienced full-stack product engineer to join us as we build the backbone of technical sales. In this role, you’ll contribute to the entire tech stack, and will need…
Added 3 mins ago
C
Design Engineer, Product
Coast
New York City, NY
- $150,000 to $200,000 USD / year
We’re looking for an experienced design engineer to join us as we build the backbone of technical sales. In this role, you’ll lead design initiatives and contribute to the frontend…
Added 5 mins ago
FY
Sr/Staff Mobile Engineer (React Native)
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a Senior/Staff React Native Engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of…
Added 5 mins ago
FY
Sr/Staff Backend Engineer
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a senior backend engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of patients.…
Added 5 mins ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the…
Added 5 mins ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve…
Added 5 mins ago
AI Engineer - Voice
Harper
San Francisco, CA
…We need an exceptional Head of Voice AI to architect voice systems that will power thousands of conversations daily across growth, sales, operations, and customer…
Added 7 mins ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Architect and implement the backend infrastructure powering a complex AI-driven platform ingesting and analyzing enterprise email data.
Added 8 mins ago
Software Engineer Sr. Manager | Marketing Technology (Remote)
The Home Depot
Remote, United States
Leads the strategy and execution for Martech data capabilities. This includes identity management, CDP platform, activation pipelines, and foundational data integrity capabilities
Added 10 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
We’re looking for a Core Engineer at the Principal Infra / SRE level to own the reliability, scalability, upgradeability, and operational excellence of our edge platform at fleet scale.
Added 10 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
You’ll own end-to-end delivery of customer outcomes using our AI systems and edge platform - wielding a wide range of technologies across hardware, networking, sensors, data systems, and…
Added 10 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable.
Added 10 mins ago
Core Engineer - Hardware Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on hardware systems to build and evolve the physical edge platform that runs our private AI and data infrastructure in the real world.

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