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Systems Engineer, Platform Engineering
Quanta Services
Houston, TX
Exposure to container workflows - Docker, ECR, or Kubernetes basics
Added just now
Staff Software Engineer for NextGen In-Vehicle Infotainment Systems - DevOps
General Motors
Austin, TX
…scale few companies can match and we need a Staff Software Engineer ready to accelerate that mission. You'll make software delivery faster, smarter, and more reliable, shaping how GM…
Added 1 min ago
Vice President, Cloud Platform Engineer
SitusAMC
Austin, TX
…Cloud technologies such as Terraform, AWS Services, Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale…
Added 1 min ago
Python AI Engineer
EPAM Systems
Austin, TX
We are hiring a Python AI Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform as it transitions from a Confluence-focused RAG chatbot into a…
Added 1 min ago
Cloud Engineer
Reynolds & Reynolds
Houston, TX
…3.5 or higher, AWS certifications, Azure exposure, hands-on Kubernetes experience, substantial open-source or independent projects, research beyond coursework, and the ability to read and…
Added 2 mins ago
Senior Engineer-AI & Full Stack Engineering Lead
Bank of America, National Association
United States
Added 10 mins ago
Senior Core Infrastructure Engineer - OCI Product Catalog (Nashville-TN)
Oracle
Nashville, TN
We are looking for a Senior Core Infrastructure Engineer (IC3) with strong full-stack development experience to help design, build, and operate OCI Product Catalog.
Added 16 mins ago
Staff Cloud Engineer, ML Ops
Modernizing Medicine, Inc.
Boca Raton, FL
As a Staff MLOps Engineer at Modernizing Medicine, you’ll help bridge the gap between data science, machine learning engineering, and production systems. You’ll lead efforts to establish…
Added 17 mins ago
SL
Systems Administrator, Systems & Application IT
Salt Lake Community College (UT)
Salt Lake City, UT
- $87,499.54 to $97,842.27 USD / year
Experience with virtualization and containerization platforms (VMware, Hyper-V, Docker, Kubernetes).
Added 19 mins ago
C Sharp / .Net Developer
Charles Schwab Inc.
Austin, TX · Southlake, TX
As a Software Development Engineer on the Transaction Posting System (TPS) team, you will help power one of Schwab’s most business-critical platforms, supporting high-volume transaction…
Added 22 mins ago
Staff Security Engineer
Mixpanel
San Francisco, CA
Mixpanel's Information Security & Risk Management (ISRM) team is hiring a Staff Security Engineer to partner with our product and engineering teams on how we build and run Mixpanel…
Added 23 mins ago
Senior DevSecOps Engineer - Top SECRET / ONSITE
VISUAL SOFT, INC
Huntsville, AL
We are seeking an experienced **Senior DevSecOps Engineer** to design, automate, and secure our enterprise CI/CD workflows and cloud architecture. In this role, you will embed **DevSecOps**…
Added 24 mins ago
IT Infrastructure & DevOps Engineer
TETRAMEM INC
San Jose, CA
TetraMem's Software Team is seeking an experienced IT Infrastructure & DevOps Engineer to manage and optimize our on-premises and cloud infrastructure, automate development workflows, and…
Added 25 mins ago
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Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 26 mins ago
Senior Database Engineer
Bluestaq US External
CO
The Senior Database Engineer at Bluestaq owns the data systems that move and protect information behind national security decisions - the schemas, pipelines, and datastores our enterprise…
Added 28 mins ago
Software Engineer - Load Balancing
Cloudflare
Austin, TX · NY · San Francisco, CA
…Internet better, safer, and more powerful every day. As a Software Engineer at Cloudflare, you’ll work on the code that runs close to the end user, runs at a massive scale, and is deployed…
Added 30 mins ago
IT Vulnerability Engineer III (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
Randolph-Brooks Federal Credit Union is currently searching for an experienced and talented Vulnerability Engineer III to join our amazing IT Security team!
Added 31 mins ago
Lead AWS Full Stack Engineer – Backstage Platform
System One
Lafayette, LA
Job Title: Lead AWS Full Stack Engineer – Backstage Platform
Added 38 mins ago
Principal / Sr. Principal Engineer Software - Cloud & Applications
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Principal or Sr. Principal Software Engineer - Cloud and Applications to join our team of qualified, diverse individuals. This…
Added 40 mins ago
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Data Engineer
Strategic Innovation Group LLC
Arlington, VA
- $150,000 to $185,000 USD / year
Strategic Innovation Group (SIG) is seeking a Senior Data Engineer to lead the data core of a new analytics platform for a federal government client. The platform consolidates program,…
Added 42 mins ago
IC
Software Engineer – Datacenter
Intel Corporation
CA
- $137,610 to $265,870 USD / year
As a Software Application Development Engineer, you will be responsible for designing, developing, testing, and debugging software applications used by end-users or integrated with other…
Added 49 mins ago
Principal Product Security Engineer
Cribl
Remote, United States
Cribl is looking for a Principal Product Security Engineer to serve as a hands-on technical authority at the intersection of application, cloud, and FedRAMP environment security. You will…
Added 56 mins ago
Software Engineer II - Discover Studio
Qualtrics
Reston, VA
At Qualtrics, capturing and making sense of human sentiment at scale is at the heart of what we do. As a Software Engineer on the XM Discover Studio team, you will build customer-facing…
Added 1 hour ago
Security Engineer
Mixpanel
San Francisco, CA
Mixpanel's Information Security & Risk Management (ISRM) team is hiring a Security Engineer to run the day-to-day work of our security operations: vulnerability management, detection and…
Added 1 hour ago
Super Intelligence Platform Integration Engineer
LLNL
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We are seeking a Super Intelligence (SI) Platform Integration Engineer to help build and support the shared services, integration, and automation layer that connects SI applications to…

Closed listing

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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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

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Original job description

Archived listing. The details below describe a past opening.

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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

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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