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Chief Engineer (Staff Engineer)
Morgan Pinnacle Group
San Francisco · San Francisco, CA
We are recruiting a Chief Engineer (Staff Engineer) for a profitable, venture-backed company building agentic AI technology for the financial services industry.
Added 3 mins ago
Software Development Engineer, Platform Engineering & Emerging Technology
Amazon Web Services, Inc.
Seattle, WA
…entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by…
Added 5 mins ago
Lead Director Product Membership
CVS Health
Remote, United States
EHR & Platform Integration: Partner with Epic Analysts, platform architects, and core Salesforce teams to ensure seamless data flow between frontline clinical workflows in Epic and…
Added 5 mins ago
IT/OT Systems Engineer
Grifols Shared Services North America, Inc
Clayton, NC
The IT/OT Systems Engineer is the primary IT contact for Operational Technology (OT) and Laboratory technology stakeholders at the Clayton and RTP sites. The role connects Manufacturing,…
Added 5 mins ago
Senior Manufacturing Systems Engineer - PLC Systems
Amgen
Holly Springs, NC
Work with platform leads to ensure standalone PLC based systems are designed with the proper network connectivity and system-to-system communication to enable centralized monitoring and…
Added 5 mins ago
Senior Cyber Platform Engineer
MetLife
Cary, NC
The Cyber Platform Engineer is responsible for designing, implementing, and supporting enterprise security solutions within MetLife’s environment. This hands-on role partners with…
Added 5 mins ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
Are you looking to develop your Machine Learning Engineer career?
Added 5 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Raleigh, NC
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 5 mins ago
Software Development Engineer, DevX LIFT
Amazon
Raleigh, NC
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the…
Added 5 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Raleigh, NC
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
Added 5 mins ago
Associate Software Engineer
Highmark Health
Raleigh, NC
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 6 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Raleigh, NC
- $121,400 to $218,600 USD / year
…traffic environment. You will be involved in creating both platform and product related services. You will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to…
Added 6 mins ago
Network Operations Engineer
Meta
Raleigh, NC
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 6 mins ago
Vice President, Cloud Platform Engineer
SitusAMC
Raleigh, NC
…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 6 mins ago
Staff Software Architect
CVS Health
Raleigh, NC
…systems architecture vision for the Clinical Insights Engine platform, drive cross-functional alignment on engineering strategy, and lead the design of mission-critical systems that power…
Added 6 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Raleigh, NC
…obligations governing AI use. This role implements and operates platform configuration to the requirements defined by Information Security and AI GRC. Governance, policy, risk acceptance,…
Added 6 mins ago
Business Analyst Strong Written And Verbal Communication Skills Excellent Presentat
COOLSOFT
Raleigh, NC
…these tools, consulting directly with business clients to re-engineer and streamline their…
Added 6 mins ago
OT Security Platform Engineer – Dragos
Cognizant
Raleigh, NC
We are seeking an experienced OT Security Platform Engineer / Technical Lead to own and operate the Dragos security monitoring platform across a global manufacturing environment. This is a…
Added 6 mins ago
L
Lead Engineer CIAM (Customer Identity Acess Management), Information Security
Lowe's
Charlotte, NC
- $111,600 to $212,000 USD / year
The Lead Customer Identity and Access Management (CIAM) Engineer serves as the technical leader responsible for the design, implementation, operation, and modernization of Lowe's enterprise…
Added 6 mins ago
DevOps Engineer III
Deloitte
Raleigh, NC · Charlotte, NC
…implementation, and optimization of cloud, automation, and platform engineering solutions across complex environments. This role blends technical delivery, client collaboration, and…
Added 6 mins ago
Lead Saviynt Engineer
Wells Fargo
CHARLOTTE, NC
Wells Fargo is seeking a Lead Software Engineer in Cybersecurity to support the enterprise Identity Governance & Administration (IGA) modernization program. Learn more about career areas…
Added 6 mins ago
Software Engineer 2 - Mobile Developer (iOS & Android)
U.S. Bank
Charlotte, NC
This role supports both iOS and Android mobile platforms. The ideal candidate has experience developing mobile platform capabilities, backend-integrated mobile solutions, SDKs, and services…
Added 6 mins ago
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Forward Deployment Agentic Engineer
Guidehouse
CHARLOTTE, NC
- $70,000 to $116,000 USD / year
Anthropic Academy coursework or certificates in areas such as AI Fluency, API development, Model Context Protocol, Claude Code, or related Claude platform topics
Added 6 mins ago
Lead Mortgage Securities Quantitative Analytics Specialist
Wells Fargo
CHARLOTTE, NC
Wells Fargo is seeking a Quantitative Java Software Engineer, Executive Director (Senior Lead Securities Quantitative Analytics Specialist). A successful applicant will be a Java…
Added 6 mins ago
C
Senior Site Reliability Engineer (Open for Remote)
Cognizant
Charlotte, NC
- $79,240 to $133,500 USD / year
As a Senior Site Reliability Engineer, you will make an impact by strengthening the reliability, stability, availability, and operational performance of a mission-critical application…

Closed listing

Senior Full Stack AI 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: 6+ years of significantly demonstrated leadership responsibility experience.
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, leading the design, development, and delivery of large-scale mission-critical AI systems.
Serve as a senior technical lead, defining AI and application architecture for the 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 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 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).

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 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.
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.
6+ years of significantly demonstrated leadership responsibility experience.
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
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.
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.
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. $159k -$201k.

Salary Description

$159k - $201k

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