Jobs in the United States

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Added 6 mins ago
O
Principal Backend Developer - Clinical Applications
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year
+ Strong experience developing enterprise-scale backend systems using Java, Python, or other object-oriented programming languages.
Added 17 mins ago
O
Senior Principal Oracle Health Systems Engineer - HIE
Oracle
Jefferson City, MO
- $103,000 to $264,100 USD / year
Seeking a highly experienced Senior Principal Systems Engineer to provide technical leadership in the design, operation, maintenance, optimization, and strategic evolution of Health…
Added 20 mins ago
EE
IT Specialist (Systems Analysis/Applications Software)
Equal Employment Opportunity Commission
Washington, DC
- $143,913 to $187,093 USD / year
As an IT Specialist (Systems Analysis/Applications Software) at the GS-2210-14, you will be part of the Mission Applications Management Division (MAMD), Office of the Chief Information…
Added 22 mins ago
DO
IT SPECIALIST (INFOSEC)
Department of the Air Force
Peterson AFB, CO
- $109,246 to $142,022 USD / year
…Shared Early Warning System (SEWS), and Missile Defense (MD) systems focusing on the Situation Monitoring (SM) Mission Essential…
Added 31 mins ago
Senior Software Engineer
EPAM Systems
Boston, MA
Ecosystem Integrations: Build integrations with GitHub, GitLab, CI/CD systems, IDEs, and developer portals
Added 32 mins ago
Senior Data Technology Consultant, Databricks Data & AI Practice
EPAM Systems
Boston, MA
…AI/MLflow. You should have a track record of leading complex, enterprise-scale Databricks implementations, such as platform builds, data migrations, and ML/GenAI production…
Added 32 mins ago
Python AI Engineer
EPAM Systems
Boston, MA
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 32 mins ago
Digital Manufacturing Engineer - Manufacturing Data & Automation
Fairbanks Morse Defense
Walpole, MA
The Digital Manufacturing Engineer - Manufacturing Data & Automation is responsible for developing and implementing data-driven manufacturing solutions across machining, assembly,…
Added 32 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Boston, MA
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 36 mins ago
O
Senior Engineer - SCADA and Controls Engineering
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year
The Senior Engineer, SCADA and Controls Engineering supports the standardization, design, implementation, and integration of data center controls systems across a global portfolio. This…
Added 47 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Pierre, SD
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 49 mins ago
Staff Software Engineer - Virtualization
General Motors
Jefferson City, MO
+ Architect enterprise‑scale CI/CD systems for embedded, simulation, and cloud workloads.
Added 56 mins ago
Sr. Teamcenter PLM Solutions Engineer
General Motors LLC
Warren, MI · Austin, TX
…Sr. Teamcenter Product Lifecycle Management (PLM) Solutions Engineer to serve as the primary liaison between Engineering business stakeholders and technical delivery teams. As part of a…
Added 1 hour ago
Senior AI/ML Engineer - LLM & Agent Stack (Customer Facing)
TrueFoundry
NY · San Mateo, CA
We are looking for a Senior AI/ML Engineer - LLM & Agent Stack (Customer-Facing) to join the team.
Added 1 hour ago
CNC Programmer
V2X
Indianapolis, IN
…sample of the various tasking required of a Technical Support Engineer II. The omission of specific responsibilities does not exclude them from the position if the tasking is comparable or…
Added 1 hour ago
Technical Systems Engineer (Hybrid)
Cisco
San Jose, CA
As a Technical Systems Engineer with Commerce Product Management & Engineering (part of Cisco IT), You will be at the forefront of sustaining, monitoring, and troubleshooting critical…
Added 1 hour ago
Staff Customer Reliability Engineer
Sysdig
Remote, United States
Diagnose difficult problems across cloud infrastructure, Kubernetes, Linux, networking, identity and access management, observability, integrations, and distributed systems.
Added 1 hour ago
O
Pursuit Manager - Federal
Oracle
Jefferson City, MO
- $21.3 to $33.22 USD / hour
+ Identify and surface candidates for AI-enabled automation as the Applied AI capability comes online; partner with the AI Integration Engineer on pilot workflows.
Added 1 hour ago
TT
Lead Product Engineer
True Talent Solutions Partners
New York, NY
- $225,000 to $275,000 USD / year
- Strong experience with React and Next.js, enterprise products, and data-intensive interfaces such as charts, maps, or analytics.
Added 1 hour ago
Senior Software Engineer
Workato
San Francisco, CA
Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications,…
Added 1 hour ago
Guidance & Control Engineer (Associate or Experienced)
The Boeing Company
Saint Charles, MO
Within the Boeing Defense, Space & Security (BDS) Space, Intelligence & Weapon Systems (SI&WS) organization, the Weapons business is growing with multiple ongoing production and development…
Added 1 hour ago
SC
Director of Water Services
Sevier, County of (TN)
Sevierville, TN
- $47.71 to $53.68 USD / hour
…required for the County’s water treatment and distribution…
Added 1 hour ago
Application Engineer- Mars Veterinary Health
Mars Veterinary Health, Inc
United States
The Application Engineer is the technical owner for feature delivery within their assigned product pillar. Reporting to the Sr. Manager, Engineering for the pillar, this role serves as the…
Added 2 hours ago
Leadership Technical Program Manager II, Asset Reliability and Operations, Data Centers
Google
New York, NY · Council Bluffs, IA · Papillion, NE · New Albany, OH · The Dalles, OR · Sunnyvale, CA
Experience with reliability methodologies (e.g., RCM, CBM, FMEA, Weibull analysis) or enterprise maintenance systems (e.g., CMMS, Maximo).
Added 2 hours ago
Live Fire Structures Test & Evaluation Engineer (Associate, Experienced or Senior)
The Boeing Company
Berkeley, MO
Boeing is seeking a Live Fire Structures Test & Evaluation Engineer (Associate, Experienced or Senior) , to work in the Structures and Mechanical Test (STR) capability as part of the…

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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