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ai/ml lead software engineer Jobs in Washington

ai/ml lead software engineer

ai ml lead software engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
At GDIT, we deliver clarity with cloud, AI, and data-driven solutions that modernize mission‑critical systems for federal clients. We are seeking an experienced AI/ML Lead Software Engineer to design, develop, and deploy advanced machine learning and AI solutions. You will partner with data scientists and engineers to build scalable systems, integrate AI into enterprise platforms, and deliver production-ready capabilities.</p><p></p><p>
How You&rsquo;ll Make an Impact</p><ul><li>
Design and implement machine learning models for use cases including predictive analytics, NLP, computer vision, and recommendation systems.</li><li>
Collect, clean, and preprocess large structured and unstructured datasets; ensure data quality and relevance.</li><li>
Train, validate, and optimize models using modern frameworks and best practices.</li><li>
Engineer features and apply domain knowledge to improve model accuracy and generalization.</li><li>
Deploy models to production and integrate them with enterprise applications, APIs, and MLOps workflows.</li><li>
Build scalable solutions for batch or real-time inference; package, version, and automate deployments with CI/CD.</li><li>
Monitor production models for drift, performance, reliability, and trigger retraining as needed.</li><li>
Document technical designs, data lineage, assumptions, and best practices.</li><li>
Collaborate with cross-functional teams to understand requirements and deliver impactful AI capabilities.</li><li>
Provide guidance to junior team members and serve as a task or team lead when needed.</li><li>
Work independently with general supervision.</li></ul><p></p><p>
Required Education / Skills</p><ul><li>
Bachelor&rsquo;s degree and 8+ years of experience.</li><li>
Hands-on experience with Alteryx.</li><li>
Strong Python skills (Pandas, NumPy, scikit-learn) and SQL expertise.</li><li>
Solid understanding of statistics (probability, hypothesis testing, regression, A/B testing).</li><li>
Experience across the full ML lifecycle: feature engineering, training, evaluation, deployment, and monitoring.</li><li>
Data wrangling and pipeline development (ETL/ELT) for large and complex datasets.</li><li>
Model evaluation (metrics selection, bias/variance, error analysis).</li><li>
MLOps integration and experience with API-based AI services.</li><li>
Production deployment experience including packaging, versioning, CI/CD, and monitoring (drift, performance).</li><li>
Experience with at least one major cloud platform (Azure, AWS, or GCP).</li><li>
Familiarity with Docker and Git.</li><li>
Data visualization skills (Power BI or Tableau).</li><li>
Strong system analysis abilities to identify AI use cases.</li><li>
Clear communication of technical concepts and business value.</li><li>
Knowledge of Responsible AI principles and data security practices.</li><li>
Ability to support 24x7 environments when required.</li></ul><p></p><p>
Preferred Skills</p><ul><li>
Experience with large language models (Azure OpenAI, OpenAI API), prompt engineering, and LLM quality/safety evaluation.</li><li>
Experience with RAG pipelines and vector databases (Azure AI Search, Pinecone, FAISS).</li><li>
Knowledge of LLM fine‑tuning and domain adaptation.</li><li>
Experience with experiment tracking/orchestration tools (MLflow, Weights &amp; Biases).</li><li>
Kubernetes and ML deployment tools (AKS, EKS, Argo, KServe).</li><li>
Feature stores, A/B testing frameworks, and streaming platforms (Kafka, Kinesis).</li><li>
CI/CD and IaC tools (GitHub Actions, Azure DevOps, Terraform, Bicep).</li><li>
Experience with Databricks, Snowflake, or BigQuery.</li><li>
Strong API development (REST/GraphQL) for ML workloads.</li><li>
Monitoring/observability tools (Prometheus, Grafana).</li><li>
Responsible AI tools (SHAP, LIME) and model risk management.</li><li>
Knowledge of privacy-by-design, PII handling, and regulated environments (e.g., FedRAMP).</li><li>
Experience with R, PySpark, or Scala for large-scale data workloads.</li><li>
Experience with LangChain or Semantic Kernel for LLM applications.</li><li>
Advanced Power BI or Tableau (parameterized dashboards, row-level security).</li></ul><p></p><p>
Location: This is a hybrid role that requires 3 days per week at the client site in Southwest Washington DC.</p><p></p><p>
Visa Sponsorship Will Not Be Provided for This Position</p><p></p><p>
Clearance: Candidates must be eligible to obtain a federal security clearance</p><p></p><p>
GDIT IS YOUR PLACE:</p><ul><li><p>
Full-flex work week to own your priorities at work and at home</p></li><li><p>
401K with company match</p></li><li><p>
Comprehensive health and wellness packages</p></li><li><p>
Internal mobility team dedicated to helping you own your career</p></li><li><p>
Professional growth opportunities including paid education and certifications</p></li><li><p>
Cutting-edge technology you can learn from</p></li><li><p>
Rest and recharge with paid vacation and holidays</p></li></ul>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
8 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

AI/ML Lead Software Engineer

Amivero

<div>
 <strong>
  Amivero Team
  <br/>
  <br/>
 </strong>
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 <br/>
 <br/>
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 <br/>
 <br/>
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 <br/>
 <br/>
 <strong>
  Special Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   US Citizenship Required to obtain Public Trust
  </li>
  <li>
   Active DHS Clearance (preferred)
  </li>
  <li>
   Bachelor Degree + 10 years of experience
  </li>
  <li>
   3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
  </li>
  <li>
   Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Gist&hellip;
  <br/>
  <br/>
 </strong>
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
  </li>
  <li>
   Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
  </li>
  <li>
   Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
  </li>
  <li>
   Preprocess, clean, and transform data to ensure high-quality inputs for model training.
  </li>
  <li>
   Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
  </li>
  <li>
   Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
  </li>
  <li>
   Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
  </li>
  <li>
   Ensure data integrity and quality throughout the data lifecycle.
  </li>
  <li>
   Evaluate model performance using appropriate metrics and implement improvements as needed.
  </li>
  <li>
   Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
  </li>
  <li>
   Implement best practices for model versioning, deployment, monitoring, and retraining.
  </li>
  <li>
   Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
  </li>
  <li>
   Document model design, assumptions, data sources, and performance results.
  </li>
  <li>
   Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
  </li>
  <li>
   Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
  </li>
  <li>
   A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
  </li>
  <li>
   Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
  </li>
  <li>
   Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  </li>
  <li>
   Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
  </li>
  <li>
   Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
  </li>
  <li>
   Excellent analytical, problem-solving, and critical-thinking skills.
  </li>
  <li>
   Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  </li>
  <li>
   Experience mentoring or guiding less experienced AI/ML engineers is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 EOE/M/F/VET/DISABLED
 <br/>
 <br/>
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>


AI/ML Developer

Booz Allen Hamilton

<div>Agentic AI Engineer<p><b>
The Opportunity</b><b>:</b><br>
We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.<br>
<br>
<b>What You'll Work On:</b></p><ul><li><p>
Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.</p></li><li><p>
Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.</p></li><li><p>
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.</p></li><li><p>
Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.</p></li><li><p>
Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.</p></li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
4+ years of experience in software development</p></li><li><p>
3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks</p></li><li><p>
3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex</p></li><li><p>
3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use</p></li><li><p>
Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph</p></li><li><p>
Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix</p></li><li><p>
Knowledge of modern software design patterns, including microservice design or edge computing</p></li><li><p>
Ability to adapt in a rapidly changing environment and navigate ambiguity</p></li><li><p>
TS/SCI clearance with a polygraph</p></li><li><p>
Bachelor&rsquo;s degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience deploying agentic systems in a production environment</p></li><li><p>
Experience deploying agents on edge devices such as Android or local models</p></li><li><p>
Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results</p></li><li><p>
Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM</p></li><li><p>
Experience engineering AI capabilities in on‑premise or multi‑classification environments</p></li><li><p>
Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development</p></li><li><p>
Master&rsquo;s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Agentic AI Engineer

AppFolio

<div><div><div><div><div><div><p><b>Hi, We&rsquo;re AppFolio</b></p><p>
We&rsquo;re innovators, changemakers, and collaborators. We&rsquo;re more than just a software company &mdash; we&rsquo;re building the cloud and AI-native platform where the real estate industry comes to do business. We&rsquo;re revolutionizing how property managers operate, how residents live, and how intelligence flows through an entire industry.</p><p>
We are now building the next generation of our platform with AI at the core.</p><p><b>
Realm-X</b> is AppFolio&rsquo;s AI platform powering this transformation:</p><ul><li><p><b>
Assistant</b>: a GenAI copilot embedded across the product experience</p></li><li><p><b>
Flows:</b> an agentic workflow system enabling automation of complex business processes</p></li><li><p><b>
Performers:</b> real-time, multi-modal AI agents operating across voice, text, email, and chat</p></li></ul><p>
We are building not only these experiences, but also the <b>platform that enables teams across AppFolio to contribute and extend AI capabilities.</b></p><p>
At the foundation are <b>deep agents</b>, built on a real estate ontology and domain primitives (transactions, actions, reports, metrics, and skills), allowing AI systems to understand and operate across the full business context of AppFolio &mdash; powering both employee productivity and end-to-end automation.</p><p><b>
Who we are looking for</b></p><p>
We&rsquo;re seeking a <b>Sr Machine Learning Engineer</b> to play a critical role in shaping Realm-X and the future of AI at AppFolio.</p><p>
This is a high-impact position focused on <b>defining architecture, building next-generation AI systems, and influencing technical direction across teams.</b> You will work at the intersection of machine learning, distributed systems, and product innovation to create AI systems that move beyond assistance into execution.</p><p><b>
Responsibilities:</b></p><ul><li><div>
Define and drive the <b>technical vision and architecture</b> for AI systems within Realm-X</div></li><li><div>
Design and build <b>deep, context-aware agents</b> leveraging domain ontologies and structured business primitives</div></li><li><div>
Lead the development of <b>agentic workflows (Flows)</b> that combine reasoning, planning, and execution</div></li><li><div>
Architect systems for <b>real-time, multi-modal AI agents (Performers)</b> across communication channels</div></li><li><div>
Build and evolve <b>platform capabilities</b> (tools, memory, evaluation systems, abstractions) to enable broad internal adoption</div></li><li><div>
Translate ambiguous, high-impact problems into <b>scalable, production-ready AI systems</b></div></li><li><div>
Establish best practices for <b>LLM evaluation, observability, safety, and iteration loops</b></div></li><li><div>
Collaborate cross-functionally with product, design, and engineering leaders to shape strategy and execution</div></li><li><div>
Mentor engineers and <b>raise the technical bar across the organization</b></div></li><li><div>
Identify and introduce <b>emerging AI technologies and paradigms</b> that create leverage for the business</div></li></ul><p><b>
You know you&rsquo;re the right fit if&hellip;</b></p><p></p><ul><li><div>
You think in terms of <b>systems and platforms</b>, not just features</div></li><li><div>
You have a track record of building and deploying <b>ML/AI systems in production at scale</b></div></li><li><div>
You are comfortable operating in <b>high ambiguity</b> and defining direction where none exists</div></li><li><div>
You can <b>lead through influence</b>, aligning multiple teams around a technical vision</div></li><li><div>
You balance <b>long-term architecture with pragmatic delivery</b></div></li><li><div>
You are motivated by <b>high-impact problems</b> that shape products and business outcomes</div></li></ul><p></p><p><b>
Additional Skills and Knowledge:</b></p><p></p><ul><li><div><b>
Master&rsquo;s or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)</b></div></li><li><div>
Extensive experience developing and deploying <b>machine learning systems in production environments</b></div></li><li><div>
Strong software engineering expertise with languages such as <b>Python, Go, Ruby, or JavaScript</b></div></li><li><div>
Deep understanding of <b>distributed systems, APIs, and cloud infrastructure (AWS or similar)</b></div></li><li><div>
Experience leading large, <b>cross-functional technical initiatives</b></div></li><li><div>
Ability to design systems that integrate <b>structured data, models, and real-time decisioning</b></div></li></ul><p><b>
Nice to Have:</b></p><ul><li><div>
Experience with <b>LLMs, AI agents, and tool-using systems</b> (e.g., LangChain, LangGraph, OpenAI APIs)</div></li><li><div>
Familiarity with <b>agentic architectures</b>, planning/execution loops, and orchestration frameworks</div></li><li><div>
Experience building <b>domain-specific ontologies, knowledge graphs, or semantic layers</b> <b>evaluation frameworks for AI systems</b> (offline and online)</div></li><li><div>
Background in <b>workflow orchestration systems</b> (e.g., Temporal)</div></li><li><div>
Experience building <b>platforms that enable other engineering teams</b></div></li><li><div>
Exposure to <b>multi-modal AI systems</b> (voice, chat, email, etc.)</div></li></ul><p><b>
Compensation &amp; Benefits</b></p><p>
The compensation that we reasonably expect to pay for this role is: 167,200.00 - 209,000.00 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate&rsquo;s skills, education, experience, and internal equity.</p><p>
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.<br>
<br>
Regular full-time employees are eligible for benefits - see here.</p></div></div></div></div></div><div><div><p><br>
#LI-KB1</p></div></div></div>

Sr. Machine Learning Engineer

<div>AI DevOps Engineer<p><b>
The Opportunity:</b><br>
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.</p><p></p><p>
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.</p><p></p><p>
Are you ready to transform our nation's intelligence community with AIOps?</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AI DevOps Engineer

Dragonfli Group LLC

<div><p><b>About Dragonfli Group</b></p><p>
Dragonfli Group is an elite cybersecurity and IT advisory firm specializing in security operations, architecture, governance, and technology implementation for enterprise and regulated industry clients. We are a certified small business with deep experience across federal, financial services, utilities, and professional services sectors.</p><p></p><p><b><br>
Overview</b></p><p><b>
Location:</b> Washington, DC or Boston, MA or Dayton, OH preferred;</p><p>
Dragonfli Group is seeking an Information Security Compliance Lead for a high-stakes, client-facing engagement. This is a pure-play GRC role supporting an active information security program within a premier client environment. The successful candidate will act as a primary lead for the GRC function, requiring deep compliance execution experience, exceptional professional presence, and the ability to operate with total autonomy from day one. The right candidate will be able to manage audit cycles and platform implementations immediately.</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li>
Independently complete complex client security questionnaires and audit responses using established firm precedent and maintain organized submission records.
</li><li>Lead compliance monitoring and enforcement against ISO 27001 and ISO 42001 (AI Management System).
</li><li>Directly manage the 30-day implementation and optimization of the Vanta trust center platform.
</li><li>Conduct and document risk assessments, policy reviews, and audit evidence gathering for an upcoming audit window.
</li><li>Develop and maintain cybersecurity policies and procedures aligned to regulatory requirements and AI/ML-enabled monitoring.
</li><li>Deliver and track compliance training and awareness initiatives; report outcomes to leadership.
</li><li>Interface directly with client legal, compliance, and IT stakeholders as a polished representative of the firm.</li></ul><br>
Requirements:<br>
<br>
<p><b>Minimum Qualifications</b></p><ul><li>
2-5+ years supporting information security in large, complex environments (Law firm or Big 4 experience strongly preferred).
</li><li>Expert-level working knowledge of ISO 27001 and NIST CSF.
</li><li>Proven experience implementing or managing Vanta or equivalent trust center platforms.
</li><li>Exceptional written and interpersonal communication skills; ability to produce &quot;client-ready&quot; deliverables without internal oversight.
</li><li>Bachelor's degree in computer science, information security, or related field; equivalent experience considered.
</li><li>Preferred certifications: CISSP, CISA, or CompTIA Security+</li></ul><br>
Skill(s):
<br>
<ul><li>GRC platform expertise (Vanta, OneTrust, Archer, or ServiceNow GRC).
</li><li>Security questionnaire automation tools (Whistic, Responsive, Loopio).
</li><li>Third-party risk management (TPRM) fundamentals and SOC 2 Type I/II audit support. GDPR, CCPA, and AI privacy regulation familiarity.
</li><li>Evidence collection, audit artifact management, and policy lifecycle management.
</li><li>Risk register development and maintenance.
</li><li>Business continuity and disaster recovery documentation support.
</li><li>Strong proficiency in Microsoft 365 (SharePoint, Teams, Word, Excel) for collaboration.
</li><li>Experience working in a ticketing or GRC workflow environment (Jira, ServiceNow).</li></ul></div>

Information Security Compliance Lead

<p></p><div><p><b>About EAB</b></p>
<p>
At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.</p>
<p>
At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.</p>
<p>
For more information, visit our Careers page.</p>
<p><b>
The Role in Brief:</b></p>
<p>
<b>Senior Data Engineer</b></p>
<p>
The Senior Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), is responsible for designing high-impact data and analytics solutions that help higher education institutions unlock the full value of their data within the Edify platform.</p>
<p>
This role sits at the intersection of data architecture, partner strategy, and product innovation. The DSL partners closely with Strategic Leaders, Data Engineers, and Product teams to translate complex institutional challenges into scalable, well-architected data solutions that drive measurable outcomes.</p>
<p>
Unlike traditional data engineering roles, the DSL&rsquo;s primary day-to-day work does not focus on building pipelines or writing production code. Instead, they lead discovery, shape solution design, guide implementation, and ensure that delivered solutions are aligned to partner goals, technically sound, and positioned for long-term success.</p>
<p>
We are seeking a leader who can connect data systems to real-world impact, bringing both technical depth and consultative strength to help institutions modernize their data ecosystems and explore emerging capabilities such as advanced analytics and AI-driven solutions.</p>
<p>
This position is ideally based out of EAB's Washington, D.C. or Richmond, VA office, and is open to remote work within the continental U.S. Occasional travel (up to ~12 days annually) may be required for partner engagements and team collaboration.</p>
<p>
This position is also posted at the Principal Data Engineer level; candidates are being considered at both levels for the current opening.</p>
<p>
<b>Primary Responsibilities:</b></p>
<ul>
<li>Lead discovery engagements with institutional stakeholders to translate business questions into clear data and analytic requirements</li>
<li>Design end-to-end data solutions, including data models, integrations, transformation logic, and reporting structures that align with Edify platform best practices and long-term partner data strategy</li>
<li>Serve as a trusted technical advisor to partners, guiding them through complex data challenges and opportunities to expand impact through improved data usage, reporting, and analytics</li>
<li>Mentor or manage Data Engineers and collaborate with Technical Project Managers to guide implementation of designed solutions</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Contribute to the development of advanced capabilities, including predictive analytics, automation, and AI-driven use cases</li>
<li>Provide structured feedback to Product and Engineering teams to inform platform evolution</li></ul><br>
<p></p>
<p><b>
Basic Qualifications:</b></p>
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>4+ years of experience in data architecture, analytics consulting, or related roles</li>
<li>Strong proficiency in SQL, experience writing and code-reviewing complex stored procedures, and working knowledge of data transformation and modeling concepts</li>
<li>Experience designing data pipelines, integrations, and warehouse structures</li>
<li>Deep understanding of how data flows across systems and how it is used to drive business decisions</li>
<li>Demonstrated ability to translate ambiguous problems into structured, actionable solutions</li>
<li>Strong communication skills, with the ability to engage both technical and non-technical audiences</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li></ul><br>
<p></p>
<p><b>
Ideal Qualifications:</b></p>
<ul>
<li>Experience working directly with external stakeholders in a consulting or client-facing capacity</li>
<li>Familiarity with cloud data ecosystems (AWS preferred) and modern data stack concepts</li>
<li>Experience guiding data strategy, analytics roadmaps, or system design decisions</li>
<li>Exposure to advanced analytics, predictive modeling, or AI/ML use cases</li>
<li>Ability to recognize patterns across implementations and drive reusable, scalable solutions</li>
<li>Experience in higher education or similarly complex data environments</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
<p><i>If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.</i></p>
<p><b>
Compensation:</b></p>
<p>
The anticipated starting salary range for this role is $85,500 &ndash; $110,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.</p>
<p>
This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.</p>
<p><b>
Benefits:</b></p>
<p>
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:</p>
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
<p>Benefits kick in day one; learn more at eab.com/careers/benefits.
</p><p><i>This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.</i></p>
<p>
At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.</p>
<p>
To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</p></div>

Senior Data Engineer

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