Senior Principal Full Stack AI Engineer

Overview

The Senior Principal Full Stack AI Engineer serves as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems supporting the AIR Platform. This role combines senior technical leadership, hands-on expertise in AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), and ownership of enterprise architecture, governance, and innovation. This is a full-time position under Nexus for Pyramid Systems.

Responsibilities

Serve as a senior technical lead, defining AI and application architecture for the AIR Platform in partnership with and under the direction of the Director

Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability

Lead architecture for distributed, cloud-native, and hybrid AI systems

Define and enforce reference architectures, standards, and reusable frameworks

Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability

Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks

Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and GCP

Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers

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

Oversee the full AI solution lifecycle

data pipelines, evaluation, deployment, and monitoring

Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection)

Establish robust MLOps practices leveraging GitHub-based automation, CI/CD 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 subject matter expert 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 refactoring and re-platforming efforts)

Define repeatable modernization frameworks and accelerators

Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), 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 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)

Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), including building large-scale AI applications, APIs, and data pipelines

Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes)

Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application

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

Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and GCP

Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments

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

Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering

Executive communication skills with experience influencing senior leaders

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

Qualifications

U.S. Citizenship required

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

12–15+ years of software engineering experience, including significant leadership responsibility

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 full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures

Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments

Hands-on experience building full-stack applications with Next.js and managing infrastructure as code with Terraform

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

Demonstrated ability to translate AI research into production systems

Active clearance (Public Trust, Secret, or higher) preferred

Startup or early-stage company experience preferred

Experience using AI coding tools (e.g., Claude Code, OpenAI Codex) to accelerate development preferred

Target Pay Range

The below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.

Pyramid Min

USD $166,091.00/Yr.

Pyramid Max

USD $210,000.00/Yr.

Why Pyramid?

Pyramid Systems, Inc. is an award-winning, technology leader, driving digital transformation across federal agencies. We empower forward-thinking innovations, accelerate production-ready software, and deliver secure solutions so federal agencies can meet their mission goals. Voted a Top Workplace, both regionally (Washington, DC) and Nationally (USA) the past 2 years (2023 and 2024) based on the feedback from our employees, we are headquartered in Fairfax, VA. and have a growing national footprint. We value and promote our Flexible Workplace approach because of the positive impacts it has on work-life integration. We remain committed to ensuring every employee’s voice is heard, performance and results are recognized and rewarded, development and advancement is a focus, and diversity, equity and inclusion is a company priority. We offer competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP), a robust performance-based rewards program, and we know how to have fun! Our people and culture have endured and delivered for our clients for nearly three decades.

EEO Statement

Pyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.