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Public Cloud Network – Security Engineer - VP
Citibank, N.A.
United States
We are providing our businesses with a competitive edge by leveraging public cloud scale and enabling new infrastructure economics As an Network Security Engineer within the Network…
Added 1 min ago
Senior Software Engineer, Connectors & Discover
Zendesk, Inc.
Austin, TX · Madison, WI · San Francisco, CA
…to make a human connection. We’re seeking a Senior Backend Engineer to own the data layer that powers Zendesk’s AI products. In this role, you’ll build and scale integrations and analytics…
Added 2 mins ago
Senior AI Engineer (CCC Auto / Agentic)
EvolutionIQ
Remote, United States
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part…
Added 2 mins ago
AI Engineer (CCC Auto / Agentic)
EvolutionIQ
Remote, United States
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part…
Added 2 mins ago
Senior Network Infrastructure Engineer – F5 / NetScaler
Fiserv
Greenwood Village, CO
You will serve as a senior technical engineer supporting enterprise load balancing and DNS. You will lead the design, deployment, optimization, and troubleshooting of highly available…
Added 3 mins ago
Machine Learning Engineer
Reddit
San Francisco, CA
Special Skill Requirements: (1) PII Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM;…
Added 4 mins ago
Senior Software Engineer
Ficoso
Remote, United States
Our Senior Software Engineer will share a key role on our team. A Senior Software Engineer will be full stack and must have knowledge in all stages of software development. Will work…
Added 7 mins ago
S
Assembly MES Engineer
Siemens
Peachtree Corners, GA
- $70,894 to $121,533 USD / year
The MES Assembly Engineer is responsible for the maintaining and enhancing technology deployments relevant to the assembly of products. The MES Assembly Engineer will be part of a team that…
Added 7 mins ago
Network Security Engineer
Georgia Systems Operations
Tucker, GA
Engineer Secure, Resilient Network Services That Support Mission-Critical Operations
Added 7 mins ago
MacOs EUC Engineer
Regions Bank
Atlanta, GA
At Regions, the End User Computing (EUC) Engineer is responsible for designing, implementing, and maintaining desktop solutions that leverage various technologies and platforms. This role…
Added 7 mins ago
Student Intern, AI Engineer
Celestica
Atlanta, GA
With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid…
Added 7 mins ago
R
Sales Engineer
Rain
New York, NY
- $50,000 to $999,000 USD / year
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly…
Added 7 mins ago
Senior AWS Cloud Engineer
Serco
Atlanta, GA
We are seeking a highly skilled and experienced AWS Cloud Engineer to join our IT Operations organization and contribute to the ongoing development of our cloud-native platform.This role…
Added 7 mins ago
AT
Network Infrastructure Engineer II
Akamai Technologies, Inc.
Atlanta, GA
- $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 7 mins ago
Lead Site Reliability Engineer - Remote
SitusAMC
Atlanta, GA
SitusAMC is on a Digital Transformation journey to implement and automate the infrastructure, platform creation by developing and executing Infrastructure as Code capabilities. This role…
Added 7 mins ago
Platform Engineer - Remote
SitusAMC
Atlanta, GA
This highly visible role partners with engineering, DevOps, Agile delivery, security, infrastructure, architecture, compliance, and business stakeholders. The role also leads the Azure…
Added 7 mins ago
Software Engineer
Teradata
Atlanta, GA
This position is for a Software Engineer in the POD Services team. The POD Services Team is working towards the goal of providing Infrastructure as a service for On-prem env.
Added 8 mins ago
Sr Software Engineer (HashiCorp Vault)
IBM
Atlanta, GA
We're looking for a seasoned engineer to design, build, and operate HashiCorp Vault as a service. You'll be responsible for secure, highly available, and compliant secrets management…
Added 8 mins ago
Senior Design Manager (Data Center)
Jacobs
Atlanta, GA · Athens, GA
At Jacobs, we are helping clients deliver the next generation of AI, cloud, hyperscale, and high-performance computing infrastructure. We are seeking a Senior Design Manager - AI Data…
Added 8 mins ago
ND
Enablement Engineer
NTT Data Americas, Inc.
Atlanta, GA
- $70 to $80 USD / hour
…now. NTT DATA's Client is currently seeking an AI Enablement Engineer to join their team in Charlotte, North Carolina (US-NC), United States…
Added 8 mins ago
Confluent - Technical Support Professional
IBM
Atlanta, GA
As a Technical Support Engineer on the Platform, Security & Cloud (PSC) team, you'll help customers solve their hardest problems with security, networking and infrastructure in Confluent…
Added 9 mins ago
MS
Lead Site Reliability Engineer
MS Services Group, Inc.
United States
- $155,000 to $215,000 USD / year
…champion SRE best practices, and partner closely with Engineering, Infrastructure, Operations, and Business stakeholders to ensure seamless client and advisor…
Added 11 mins ago
Cloud Services Devops Engineer
Gordon Food Service, Inc.
Atlanta, GA
We are actively seeking candidates at either an Intermediate or Senior level. Whether you are an experienced engineer ready for your next step or a senior technical lead looking to drive…
Added 14 mins ago
Senior Software Engineer
Exact Sciences Corp
United States
The Senior Software Engineer is a hands-on builder within the product-led Software Engineering team in Abbott’s cancer diagnostics division, focused on Digital Engineering and Integrations.…
Added 15 mins ago
Sr. Application Infrastructure Engineer
MED Medtronic Inc
Newton, MA · Mounds View, MN
Imagine being at the forefront of medical innovation, where your infrastructure work directly enables life-saving technology. Medtronic is looking for an experienced infrastructure engineer…

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 5, 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 to $175k.

Salary Description

$155k - $175k

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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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