Jobs in the United States

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Added 1 min ago
Associate Director - Business Channel Management
Verizon Corp Rsrcs Group LLC
Tampa, FL
You will act as the architect of "Quality Growth," ensuring that the aggressive volume driven by our partners is sustainable, compliant, and customer-centric. You are a trusted advisor to…
Added 1 min ago
Senior Associate - AI Security Engineer
New York Life
Remote, United States
This role will partner closely with the AI Security Architect to build, test, and evaluate AI security solutions across cloud and third-party platforms. The engineer will translate emerging…
Added 2 mins ago
Architectural Designer or Architect
Jacobs
St. Louis, MO
As an Architectural Designer or Architect within our Cities & Places team, you'll contribute to the planning, design, and delivery of impactful projects that improve the built environment…
Added 2 mins ago
IT Services Senior Manager/Cloud Computing Support Lead
ASM Research, An Accenture Federal Services Company
Jefferson City, MO
Professional‑level cloud certification (e.g., Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Professional Architect).
Added 2 mins ago
Big Data Developer (Black Lotus Labs)
Lumen
Jefferson City, MO
We are seeking a Big Data Developer to build and optimize large-scale data solutions that help identify and disrupt malicious threats across the Internet. In this role, you'll leverage…
Added 2 mins ago
AT
Architect - Infrastructure Systems
Akamai Technologies, Inc.
Jefferson City, MO
- $146,400 to $263,600 USD / year
As a Senior Architect, you will be responsible for:
Added 2 mins ago
Senior AWS Cloud Engineer
Serco
Jefferson City, MO
AWS certifications (Solutions Architect, SysOps, etc.)
Added 2 mins ago
Partner Solution Architect (ISV)
Teradata
Jefferson City, MO
The Partner Solution Architect is a strategic partner-facing technical role focused on enabling independent software vendor (ISV) partners to design and deliver high-value solutions on…
Added 2 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Jefferson City, MO
We are seeking an AI Automation SME to lead the design and delivery of AI-enabled automation solutions for manufacturing and MES processes. The role will translate business requirements…
Added 2 mins ago
Sr. Manager, Retail Partnerships
GN Hearing
Jefferson City, MO
…market with our clinic-grade, over-the-counter (OTC) hearing aid solutions. As we rapidly scale our commercial footprint, we are seeking a visionary, growth-oriented Strategic Partnerships…
Added 3 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Jefferson City, MO
Architect efficient and scalable systems that drive complex applications.
Added 3 mins ago
Senior Design Manager (Data Center)
Jacobs
Kansas City, MO · Saint Louis, MO
…resilient, constructible, maintainable, and future-ready facility…
Added 3 mins ago
AWS Architect - TS/SCI Clearance
CDW Government, LLC
Remote, United States
We are seeking an AWS Architect with a TS/SCI clearance to design and support secure, scalable cloud solutions for mission-critical workloads. This role combines cloud architecture,…
Added 4 mins ago
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Project Manager
Actalent
Kansas City, KS
- $120,000 to $150,000 USD / year
Conduct weekly owner-architect-contractor (OAC) meetings and regular onsite visits to monitor progress and verify the quality of construction.
Added 4 mins ago
GC
Sr. SAP Functional Analyst (R2R)
Gulf Coast Automation Group
Lisle · Lisle, IL
- $75 to $85 USD / hour
Design and architect RTR solutions on S/4HANA across the general ledger, sub-ledgers, and period-end close
Added 5 mins ago
NA Sales Representative, Commercial EXA & Hardware Sales Specialist
Oracle
Jefferson City, MO
+ You will be the trusted advisor and influencer in winning customer decisions to buy, architect and adopt Oracle solutions
Added 5 mins ago
Lead Software Engineer, Front-End Engineering
Toyota
Plano, TX
AWS certifications (Solutions Architect, Developer Associate)
Added 8 mins ago
ReactNative Architect
Infosys
United States
⦁ Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Added 8 mins ago
Senior Cloud Engineer
N-Power Medicine
Remote, United States
AWS professional-level certification (e.g., DevOps Engineer Professional, Solutions Architect Professional).
Added 8 mins ago
Enterprise Architecture Manager, Senior Vice President
Citibank, N.A.
United States
Autonomous AI & Developer Platforms (Devin AI / AI Engineering): Architect and integrate autonomous software engineering agents and AI coding platforms (e.g., Devin AI, GitHub Copilot…
Added 8 mins ago
Technical Solution Analyst Product Owner VP
Citibank, N.A.
United States
The Technical Solutions Analyst, Product Owner, VP is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering…
Added 10 mins ago
Integration System Engineer IV
GHX
Remote, United States
…management process as well as with a project manager, solution architect and development and technical staff internally within the GHX…
Added 10 mins ago
Sr Director Business Development
Albers Aerospace
McKinney, TX
…our fields of interest enabling us to provide cutting-edge solutions and support to our warfighters. We understand and provide expert consultation on weapons systems acquisition programs,…
Added 12 mins ago
Senior Associate - AI Security Engineer
New York Life Insurance Co
United States
This role will partner closely with the AI Security Architect to build, test, and evaluate AI security solutions across cloud and third-party platforms. The engineer will translate emerging…
Added 16 mins ago
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Network Engineer
Optimum
Parsippany, NJ
- $83,538 to $137,241 USD / year
The primary responsibility is to assist Network Transport Director and other Engineers in planning, architect and then support reliable optical solutions for Optimum's products and…

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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