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AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
This is not a security consulting role. It is not a compliance advisory position. It is not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who…
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Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
Oracle Cloud Infrastructure’s (OCI) Developer Platform Tools and Services organization builds the next generation of developer productivity platforms, intelligent development workflows, and…
Added just now
Cyber - AI Engineer - Manager - Consulting
EY
Nashville, TN · Chattanooga, TN · Memphis, TN
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 just now
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Cybersecurity AI Forward Deployed Engineer - FDE - Manager
Accenture
Nashville, TN
- $94,400 to $316,300 USD / year
This is not a security consulting role. It is not a compliance advisory position. It is not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who…
Added 1 min ago
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Electrical Engineer 3
Pacific Northwest National Laboratory
Nashville, TN
- $122,100 USD / year
…reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies…
Added 1 min ago
Site Reliability Engineer
Highmark Health
Nashville, TN
…role blends software engineering, clinical engineering, and security principles with a deep understanding of healthcare operations to minimize downtime, improve system resilience, and to…
Added 1 min ago
Senior Azure Cloud Engineer
Caterpillar, Inc.
Nashville, TN
7+ years in infrastructure operations or applications development, with special emphasis in areas of networking, DNS, application services, security, distributed computing, databases, and…
Added 1 min ago
Platform Infrastructure Engineer
Maximus
Nashville, TN
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
Senior Financial Planning & Analysis Manager
Cornerstone OnDemand
Nashville, TN
…our SaaS products - from R&D investment and cloud/data center infrastructure to consumption-based AI costs and product-level margins - ensuring tight timelines, high-quality reporting, and…
Added 1 min ago
Network and Systems Engineer III – IT Solutions Implementor
Amentum
Nashville, TN
…address their most significant and complex challenges in science, security and sustainability. Headquartered in Virginia, we have more than 53,000 employees in approximately 80 countries…
Added 1 min ago
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Network Infrastructure Engineer II
Akamai Technologies, Inc.
Nashville, TN
- $83,200 to $149,800 USD / year
As a Network Infrastructure Engineer II, you will oversee operations in our global data centers. You will monitor and maintain our data centers, networks, and servers worldwide. You will…
Added 1 min ago
Sr Site Reliability Engineer -Remote US
SitusAMC
Nashville, TN
…capabilities, scaling, process improvement, metric collection, security, and visibility into the product environments. Leveraging various DevOps approaches which include but not limited to…
Added 1 min ago
Mainframe Technical Engineer
Highmark Health
Nashville, TN
…z/OS, SMP/E, COUPLING FACILITY technical ecosystem including infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical professionals,…
Added 29 mins ago
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Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco Systems, Inc.
Remote, United States
- Full-time
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions…
Added 29 mins ago
Software Engineer – Release Management
Cisco Systems, Inc.
RTP, NC
We are seeking a motivated Engineer to join our Release team in Research Triangle Park (RTP), North Carolina, helping us improve software project infrastructure and product quality for…
Added 31 mins ago
Pre-Sales Solutions Engineer-Hyperscaler
Cisco Systems, Inc.
San Jose, CA · Pleasanton, CA · Concord, NH · San Bruno, CA · Milpitas, CA · Mountain View, CA · Los Altos, CA · Redwood City, CA · San Francisco, CA · Santa Clara, CA · Fremont, CA · San Mateo, CA · Sunnyvale, CA · Palo Alto, CA
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions…
Added 32 mins ago
Manufacturing Quality Engineer
BAE Systems
Hudson, NH
…that support enhanced military capabilities, protect national security, and keep critical information and infrastructure secure. With us, you ll be able to make an impact while you hone…
Added 33 mins ago
Facility Operations Center Manager, Facility Operations Center
Amazon Data Services, Inc.
Herndon, VA
The Global Facility Operations Center proactively monitors the life-safety systems and the infrastructure equipment (e.g., chillers, temperature sensors, generators, UPSs, switchgear,…
Added 35 mins ago
Systems Engineer - Active TS/SCI with CI Poly
ENS Solutions, LLC
Washington, DC
Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and…
Added 35 mins ago
Systems Engineer - Active TS/SCI with CI Poly
ENS Solutions, LLC
Washington, DC
Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and…
Added 35 mins ago
Kubernetes Engineer - Active TS/SCI with CI Poly
ENS Solutions, LLC
Reston, VA
We are seeking a Sr. Kubernetes Engineer II to join our dynamic team and play a pivotal role in safeguarding our organization's digital assets and sensitive information. The ideal candidate…
Added 36 mins ago
Senior UC/Voice Engineer
American Operations Corporation
Hanscom Air Force Base, MA
The UC/Voice Engineer will work as part of a team of Unified Communications engineers supporting 66 ABG/SC and its customers under Core Services. The position is responsible for designing,…
Added 36 mins ago
DevSecOps Platform Lead
American Operations Corporation
Montgomery, AL
…release sequencing, environment management, automation services, infrastructure-as-code execution, and pipeline governance across all BMx systems. The DevSecOps Platform Lead ensures…
Added 36 mins ago
Cloud Engineer
American Operations Corporation
Montgomery, AL
…Architects, and Enterprise Integration personnel to implement Infrastructure-as-Code, automate environment provisioning, support deployment pipelines, manage cloud monitoring services, and…
Added 36 mins ago
Senior Resident Solutions Engineer
Axonius Federal Systems LLC
On-site Washington, DC
…unified view of all assets - devices, users, applications, and infrastructure. With FedRAMP authorization, and deployments across 70+ federal agencies, AFS transforms asset intelligence…

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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