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Added 2 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $210,000 to $260,000 USD / year
Join an early-stage healthtech team as its backend-leaning Founding Engineer. You will build and operate the core platform for real-time prescription pricing, claims processing, and…
Added 17 mins ago
TI
Engineering Manager, Robotics Software
Tutor Intelligence
Watertown, MA
- $190,000 to $300,000 USD / year
…the people around them use, and the simulation and research code that makes the next robot possible. Those teams are growing and new ones are forming. We are hiring engineering managers to…
Added 24 mins ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
Automate deployment and platform operations with Infrastructure-as-Code (Terraform, Bicep) and CI/CD.
Added 24 mins ago
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Principal Storage Engineer
AT&T
Plano, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 25 mins ago
A
Principal Storage Engineer
AT&T
Dallas, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 25 mins ago
C
Software Engineer Compiler II (Full Time) – United States
Cisco
Austin, TX
- Full-time
…and maintains the mission-critical compiler, debugger, and code analysis toolchains that power Cisco IOS-XE, Silicon One, and cloud-scale routing platforms. We operate at the leading edge…
Added 40 mins ago
Safety Engineer, AWS Health & Safety
Amazon Data Services, Inc.
Seattle, WA · Herndon, VA
We are searching for a Global Safety Engineer who will support AWS Hardware Engineering and Design Teams by providing technical leadership associated with the developing products and…
Added 41 mins ago
Senior Solution Architect, Networking Solutions Labs
NVIDIA Corporation
North District, IL
…and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible. A candidate for this position must excel at working independently as well as…
Added 41 mins ago
Senior SOC Verification Engineer
NVIDIA Corporation
North District, IL
…System-On-Chip (SOC) group is seeking a top SOC Verification Engineer to verify the design and implementation of the world’s leading networking SoCs. In this position, you will get the…
Added 43 mins ago
Technical Lead, SWE
Kastle
San Francisco, CA
…lead the engineers who build them. You'll stay hands-on in the code while setting architecture, raising the engineering bar, and turning ambitious product goals into reliable systems…
Added 43 mins ago
Senior Data and AI Solutions Engineer
NVIDIA Corporation
North District, IL
Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
Added 43 mins ago
Senior Production Security Specialist, ITPE
NVIDIA Corporation
North District, IL
Implement, automate, and maintain a robust and secure PKI infrastructure; build secure Key Provisioning and Code Signing workflows within ATE pipelines.
Added 47 mins ago
Senior Site Reliability Engineering - Storage
NVIDIA Corporation
North District, IL
Proficiency with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Puppet, SaltStack) and source control systems.
Added 47 mins ago
Senior Site Reliability Engineer
NVIDIA Corporation
North District, IL
Solid understanding of microservices architecture, infrastructure as code, and configuration-management tools.
Added 50 mins ago
Senior System Software Engineer - Signing Platform
NVIDIA Corporation
North District, IL
Strong hands-on engineering in Python, Java, Go or similar, with AWS, Kubernetes, CI/CD and infrastructure as code.
Added 50 mins ago
Senior Technical Support Engineer – Slurm
NVIDIA Corporation
North District, IL
We are looking for a Technical Support Engineer dedicated to supporting Slurm for NVIDIA's customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated…
Added 50 mins ago
Senior AI Engineer and Agentic Platforms - Network Architecture
NVIDIA Corporation
North District, IL
…Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this…
Added 53 mins ago
Senior Solution Engineer
NVIDIA Corporation
North District, IL
We are looking for an experienced customer-facing software and systems engineer with a strong background in enterprise infrastructure, cloud technologies, virtualization, and Kubernetes.…
Added 53 mins ago
Senior QA Engineer, Test Frameworks & Tools
NVIDIA Corporation
North District, IL
…growing team, which develops testing frameworks, core test infrastructure, and engineering tools for optical transceivers and next-generation interconnect products at NVIDIA. We develop a…
Added 53 mins ago
Senior Software Engineer – Kubernetes AI Foundations Open Source
NVIDIA Corporation
North District, IL
As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.
Added 53 mins ago
Senior HPC AI Engineer
NVIDIA Corporation
North District, IL
Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
Added 53 mins ago
Senior DevOps Engineer
NVIDIA Corporation
North District, IL
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams.…
Added 53 mins ago
Software Verification Engineer
NVIDIA Corporation
North District, IL
NVIDIA is looking for an outstanding Software Verification Engineer for our Linux Drivers group. You'll closely work with NVIDIA Driver developers, verification teams, and performance…
Added 54 mins ago
Software Engineer II- Full-stack Developer
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Richmond, VA · Sacramento, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL
Develop and maintain back-end microservices and scalable APIs; implement CI/CD pipelines, containerized workloads, and infrastructure-as-code as part of client engagements.
Added 54 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Birmingham, AL · Boise, ID · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Dallas, TX · Davenport, IA · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Fresno, CA · Ft. Lauderdale, FL · Gilbert, AZ · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Houston, TX · Huntsville, AL · Indianapolis, IN · Inglewood, CA · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lake Mary, FL · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Mechanicsburg, PA · Memphis, TN · Miami, FL · Midland, MI · Milwaukee, WI · Minneapolis, MN · Monterey, CA · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Omaha, NE · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Rosslyn, VA · Sacramento, CA · Salt Lake City, UT · San Antonio, TX · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tallahassee, FL · Tampa, FL · Tempe, AZ · Tulsa, OK · Washington, DC · Westlake, TX · Wichita, KS · Williamsville, NY
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients’ critical cyber assets. In this role, you…

Modern Technology Solutions Inc

Senior AI Platform Engineer

Springfield, VA, United States
St. Louis, MO, United States
Springfield, United States
St. Louis, United States

$130,000 to $225,000 USD / year

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Job details

Pay: $130,000 to $225,000 USD / year
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Modern Technology Solutions, Inc. (MTSI) is hiring a Senior AI Platform Engineer to work in Springfield, VA or St. Louis, MO. Qualified candidates must be U.S. citizens with an active TS/SCI clearance and be eligible to obtain a CI Poly.

We are seeking a hands-on Senior AI Platform Engineer to design, build, deploy, and operate production AI capabilities for NGA on a new Digital Ecosystem program. As a member of the Platform/Cloud team, this individual will develop the reusable services, integrations, agent harnesses, and operational practices that enable large language models (LLMs) and AI agents across the customer’s broader Digital Ecosystem.

The role combines architecture with direct implementation, including writing code, integrating models and tools, building deployment pipelines, evaluating AI performance, and troubleshooting production systems. Working alongside platform engineering, cybersecurity, enterprise architecture, and mission teams, this individual will turn emerging AI technologies into secure, reliable capabilities that support customer workflows.

The Senior AI Platform Engineer will also help develop an enterprise architecture digital twin, connecting UAF and SysML models with real-time and near-real-time operational data. These capabilities will enable AI-assisted analysis, data-driven insights, and visualizations of enterprise capabilities, dependencies, risks, and mission impacts.

Responsibilities:

AI Platform Development: Design and implement reusable AI services, APIs, components, and reference architectures that support multiple applications and mission workflows across the Digital Ecosystem.
LLM Integration and Engineering: Build LLM-enabled capabilities using model APIs, retrieval-augmented generation, prompt and context engineering, structured outputs, and inference services. Evaluate hosted, self-hosted, and open-weight models against security, performance, deployment, and cost requirements.
Agent Harnesses and Workflows: Develop agent harnesses that manage model interactions, context, state, memory, tool access, workflow execution, and error handling. Implement bounded autonomy, human approval, execution limits, and recovery mechanisms for agents interacting with enterprise systems.
Production Deployment and Operations: Build automated testing and deployment pipelines for AI services and agent workflows. Implement versioning, configuration management, monitoring, rollback, incident troubleshooting, and continuous improvement. Address reliability, latency, resource consumption, and operational cost.
AI Evaluation and Observability: Develop representative evaluation datasets and automated tests for accuracy, groundedness, task completion, safety, and tool-use behavior. Instrument AI services to trace model interactions and agent actions, support troubleshooting, and detect performance degradation.
AI Governance and Cybersecurity: Implement controls for approved models and tools, identity, least-privilege access, secrets management, sensitive data handling, audit logging, and third-party dependencies. Address prompt injection, data leakage, insecure tool execution, and AI supply chain risks in coordination with cybersecurity and governance teams.
Enterprise Architecture Digital Twin: Work with enterprise architects and digital engineering teams to build a digital twin that connects UAF and SysML models with enterprise applications, infrastructure, services, and operational information. Support an evolving view of enterprise capabilities, dependencies, and conditions.
Real-Time Model Integration: Build interfaces and event-driven integrations that associate real-time and near-real-time feeds with UAF and SysML model elements. Apply AI to correlate information, identify changes and inconsistencies, and propose validated model updates while preserving provenance, configuration control, and human oversight.
AI-Enabled Insights and Visualizations: Combine architecture models and operational data to identify patterns, anomalies, dependencies, risks, and potential mission impacts. Develop AI-enabled dashboards, visualizations, natural language interfaces, and analytical services that make findings traceable to supporting information.
Data and Knowledge Integration: Partner with data engineers and data owners to connect AI services with approved structured and unstructured sources. Implement retrieval, indexing, metadata, provenance, and access-aware information delivery within established data governance practices.
Digital Ecosystem Integration: Connect AI services with Digital Engineering, MBSE, modeling, simulation and analysis, software development, and mission workflows through governed APIs and tool interfaces.
Technical Collaboration: Contribute code, design reviews, documentation, demonstrations, and delivery estimates. Work with customer stakeholders and multidisciplinary teams to prioritize use cases, resolve technical issues, and transition prototypes into supported production capabilities.

Required Qualifications:

Bachelor’s degree in computer science, engineering, mathematics, data science, or a related field, or equivalent relevant experience.
10+ years of combined relevant technical experience in software engineering, AI, data, cloud, or platform engineering, including at least 5 years developing, integrating, or applying AI or machine learning capabilities.
Demonstrated hands-on experience building, deploying, and supporting production AI-enabled applications or services.
Experience developing LLM-enabled applications using model APIs, retrieval-augmented generation, prompt and context engineering, or related techniques.
Experience implementing agent-based workflows or AI application harnesses, including orchestration, tool integration, context management, and controls over agent actions.
Strong proficiency with Python, APIs, version control, automated testing, and modern software engineering practices.
Experience with containers, Kubernetes, CI/CD pipelines, and deployment automation.
Experience implementing repeatable AI evaluations and monitoring application or model behavior in production.
Understanding of AI cybersecurity and governance practices, including sensitive data protection, prompt injection defenses, least-privilege access, auditability, and human oversight.
Experience integrating applications with enterprise systems, data sources, or operational feeds through secure APIs or event-driven interfaces.
Ability to translate customer and mission needs into technical designs and working software.
Ability to troubleshoot issues across AI applications, integrations, and supporting platform services.
Strong written and verbal communication skills and the ability to collaborate with data, platform, cybersecurity, architecture, and mission teams.

Desired Qualifications:

Experience operating self-hosted or open-weight LLMs, including inference optimization, GPU resource management, and capacity planning.
Experience implementing LLMOps or MLOps practices, including model and prompt versioning, automated evaluation, deployment gates, monitoring, and rollback.
Experience developing enterprise architecture digital twins or other model-driven decision-support capabilities.
Familiarity with UAF, SysML v1 or v2, and integration of architecture models with external data, APIs, or analytical tools.
Experience applying AI to correlate operational information with model elements, detect changes, or support controlled model maintenance.
Experience building AI-enabled dashboards, visualizations, natural language query interfaces, or analytical applications.
Experience with vector search, knowledge graphs, semantic models, or access-controlled enterprise retrieval.
Experience with infrastructure as code, identity federation, secrets management, distributed tracing, and observability platforms.
Experience conducting AI security testing, red teaming, or threat modeling for LLM applications and agent workflows.
Experience supporting Intelligence Community, defense, or other regulated mission environments.
Experience deploying AI capabilities in government cloud, restricted-network, disconnected, or edge environments.
Familiarity with Digital Engineering, MBSE, Digital Twins, or modeling, simulation and analysis workflows.
Experience supporting security accreditation, controlled data handling, and evidence-based compliance.
Experience transitioning prototypes or research capabilities into sustained production operations.

Clearance Requirements:

Must be a U.S. citizen with an active TS/SCI clearance and have the ability to pass a CI polygraph within 30 days.

The pay range for this position is $130,000 to $225,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location. Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled.

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