cyber senior operations specialist (senior engineer – cloud security)

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ai ml engineer

General Dynamics Information Technology

<div><div><div>Your Impact
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.
Job Description<div>
The AI/ML Engineer is responsible for designing, developing, and implementing machine learning models and artificial intelligence solutions to solve complex problems, optimize processes, and enhance decision-making. They work closely with data scientists and software engineers to build scalable, efficient systems while leveraging advanced algorithms and large datasets.<ul><li>
Design, develop, implement and use machine learning algorithms and models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommendation systems.</li><li>
Collect, clean, and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality, integrity and relevance for model training and evaluation.</li><li>
Train, validate, and optimize machine learning models using state-of-the-art techniques and frameworks. Evaluate model performance, interpret results, and iterate on model design as needed.</li><li>
Extract, select, and engineer relevant features from raw data to improve model performance and generalization capabilities. Utilizes domain knowledge and data exploration techniques to identify informative features.</li><li>
Deploy machine learning models into production environments, integrating them with existing systems and applications. Implements scalable, efficient, and reliable solutions for real-time batch inference.</li><li>
Monitor model performance, reliability, and scalability in production environments, implementing automated monitoring and alerting systems to detect anomalies and performance degradation.</li><li>
Document technical designs, implementation details, and best practices for AI solutions.</li><li>
Collaborate with cross-functional teams to include data scientists, software engineers, product managers, and other stakeholders to understand requirements, prioritize projects and delivery impactful AI Solutions.</li><li>
Perform additional duties as assigned.</li><li>
May coach and provide guidance to less experienced professionals.</li><li>
May serve as a team or task lead.</li><li>
Works independently under general supervision</li></ul>
To qualify, you must meet these basic qualifications:
Required Skills<ul><li>
Bachelor&rsquo;s degree in relevant field and 5+ years of experience</li><li>
Analytical &amp; Programming</li><li>
Strong Python (data manipulation, model development; libraries like Pandas, NumPy, scikit-learn).</li><li>
SQL proficiency (joins, window functions, performance-aware queries).</li><li>
Statistical foundations (probability, hypothesis testing, regression, experimental design/A-B testing).</li><li>
Data Modeling</li><li>
End-to-end ML workflow experience (feature engineering, training, validation, deployment, monitoring).</li><li>
Data wrangling &amp; ETL/ELT (building reliable pipelines; handling messy, large datasets).</li><li>
Model evaluation (metrics selection, bias/variance trade-offs, error analysis).</li><li>
AI Integration w/ MLOps</li><li>
Hands-on API integration for AI services (e.g., calling model endpoints, building microservices).</li><li>
Production deployment of models (packaging, versioning, CI/CD for ML).</li><li>
Model monitoring (drift detection, performance tracking, retraining triggers).</li><li>
Cloud Platforms</li><li>
Experience with at least one major cloud (Azure, AWS, or GCP) for data/AI workloads.</li><li>
Familiarity with containers (Docker) and source control (Git).</li><li>
Data visualization skills (Power BI or Tableau) to communicate insights and outcomes.</li><li>
Communication</li><li>
System analysis skills to identify viable AI insertion points in processes, products, or workflows.</li><li>
Stakeholder communication (translating technical findings into business value and concrete recommendations).</li><li>
Documentation of models, assumptions, data lineage, and decisions.</li><li>
Governance/Security</li><li>
Responsible AI awareness (fairness, explainability, privacy, and compliance considerations).</li><li>
Basic understanding of data security and access controls in production environments.</li></ul>
Preferred Skills<ul><li>
Advanced AI/LLM</li><li>
Experience with LLMs (e.g., Azure OpenAI Service/OpenAI API) for summarization, classification, or copilots.</li><li>
Prompt engineering and evaluation of LLM outputs for quality and safety.</li><li>
RAG pipelines (retrieval-augmented generation), vector databases (e.g., Azure AI Search, Pinecone, FAISS), and embeddings.</li><li>
Fine-tuning or model adaptation strategies for domain-specific use cases.</li><li>
MLOps Engineering</li><li>
Model orchestration/experiment tracking (MLflow, Weights &amp; Biases).</li><li>
Kubernetes and ML deployment tools (e.g., AKS/EKS, Argo, KServe).</li><li>
Feature stores, A/B testing frameworks, and event-driven/streaming data (Kafka, Kinesis).</li><li>
CI/CD pipelines (GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Bicep).</li><li>
Data Platform Integration</li><li>
Databricks, Snowflake, or BigQuery experience.</li><li>
Building robust APIs (REST/GraphQL) and microservices around models.</li><li>
Monitoring &amp; Observability (Prometheus, Grafana; app &amp; model logs).</li><li>
Responsible AI &amp; Compliance</li><li>
Practical experience with model risk management, documentation standards, and explainability (SHAP, LIME).</li><li>
Knowledge of privacy-by-design and PII handling (data minimization, anonymization).</li><li>
(If applicable to the environment) familiarity with FedRAMP or regulated environments.</li><li>
Additional Languages/Tools</li><li>
R, PySpark, or Scala for data-intensive workloads.</li><li>
LangChain or Semantic Kernel for LLM app development.</li><li>
Tableau/Power BI advanced (parameterized dashboards, Row-Level Security).</li><li>
Ability to support 24x7 environment for business critical and contractual SLA impacting issues</li></ul>
Clearance: Candidates must be eligible to obtain a federal security clearance<div> 
GDIT IS YOUR PLACE 
At GDIT, the mission is our purpose, and our people are at the center of everything we do. 
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>Support: An internal mobility team focused on helping you achieve your career goals</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>Flexibility: Full-flex work week to own your priorities at work and at home</li><li>Community: Award-winning culture of innovation and a military-friendly workplace</li></ul> 
OWN YOUR OPPORTUNITY 
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</div>
</div></div><div><div><div>Work Requirements</div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), or degree</li></ul></div><div></div><div>
Certification</div><div>
Travel Required<div>
None</div></div></div></div></div><div>
Salary and Benefit Information<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. 
View information about benefits and our total rewards program.</div>
About Our Work<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 30,000 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>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div></div>

AI/ML Engineer

Google

<div>Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience. 
</li>
<li>6 years of experience building machine learning solutions and working with technical customers. 
</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. 
</li>
<li>Experience with frameworks for deep learning (e.g., Tensorflow, Jax, PyTorch, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.</li>
<li>Must possess an active Top Secret/SCI security clearance.</li>
<li>Ability to travel up to 30% of the time.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul><li>
Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems.</li><li>
Experience in containerizing ML workloads within Linux/Unix environments.</li><li>
Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.</li><li>
</li></ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. 
 
The GPS AI Catalyst Team (ACT) is dedicated to supercharging AI adoption across the Public Sector. By tightly aligning our engineering efforts with Go-to-Market and Google Public Sector Services, we incubate and productionalize differentiated AI solutions to solve repeatable mission-critical use cases. We serve as the technical backbone and trusted advisors for customers, ensuring the swift and secure integration of AI solutions, from initial concept through sustained deployment. 
 
As an AI/ML Engineer, you will be a key member of the Google Cloud Consulting Professional Service Organization, guiding customers through their business transformation by leveraging Google's AI technologies. You will design, prototype, and implement modern technical architectures. This role involves acting as a trusted technical advisor, resolving challenges, and sharing best practices through various forms of technical content.<div></div> 
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. 
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges. 
</li>
<li>Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. 
</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production. 
</li>
<li>Coach customers on the practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI/ML Engineer, National Security, Google Public Sector

Information Technology Senior Management Forum

<div><div>Posted Date
3/11/2026
</div><div>Description
<div>)*** 
 
The Cyber Senior Operations Specialist (Senior Engineer &ndash; Cloud Security)
 
 
We are seeking a highly skilled Engineer to join our technology team.
 
 
The ideal candidate will excel in designing secure, scalable, and automated cloud solutions, with deep expertise in PYTHON, AWS, Container and CI/CD and Infrastructure as code (IaC) with security knowledge delivery practices.
 
 
This role will focus on building modern cloud infrastructure, automating deployments, enhancing security posture, and ensuring seamless collaboration across engineering teams.
The annual base salary for this position is $140,000 - $160,000
Essential Duties and Responsibilities
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.<ul><li>
Automate operational workflows using Python.</li><li>
Build and manage CI/CD pipelines using GitLab.</li><li>
Manage AWS services and ensure secure, scalable cloud environments.</li><li>
Build, deploy, and automate containerized applications.</li><li>
Develop Infrastructure as Code using Terraform and CloudFormation.</li><li>
Implement and support cloud security tools (e.g., Wiz).</li><li>
Troubleshoot and resolve pipeline, cloud, and infrastructure issues.</li><li>
Collaborate with cross-functional engineering and security teams.</li></ul>
Technical Skills<ul><li>
Proficiency in Python scripting.</li><li>
Strong GitLab CI/CD pipeline development.</li><li>
Strong hands-on experience with AWS, including:<ul><li>
IAM</li><li>
ECS / EKS</li><li>
EC2</li><li>
S3</li><li>
CloudTrail</li><li>
CloudWatch</li><li>
CloudFront</li><li>
VPC and AWS networking</li></ul></li><li>
Infrastructure as Code with Terraform and CloudFormation.</li><li>
Strong container development and automation experience.</li><li>
Experience with cloud security tools (e.g., Wiz).</li><li>
Exposure to Azure (preferred).</li><li>
Excellent communication and interpersonal skills.</li><li>
Strong analytical and problem-solving capabilities.</li><li>
Ability to collaborate effectively across diverse teams.</li></ul>
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Cybersecurity, or related field of relevant education, certification, or related training.</li><li>
Three years of experience in Cybersecurity or related work</li><li>
Knowledge of one or more cloud platforms and cloud security</li><li>
Knowledge of general information technology (IT) and cybersecurity</li><li>
Knowledge of computer networking concepts and protocols, and network security methodologies.</li><li>
Knowledge of network traffic analysis and packet-level analysis using appropriate tools (e.g., Wireshark, tcpdump).</li><li>
Knowledge of operating systems, including Windows/Unix ports and services.</li><li>
Knowledge of modern identity and access management concepts</li><li>
Knowledge of phishing tactics and techniques</li><li>
Knowledge of advanced cyber threats and vulnerabilities.</li><li>
Knowledge of cyber-attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks).</li><li>
Knowledge of incident response and handling methodologies.</li><li>
Knowledge of threat hunting techniques</li><li>
Knowledge of countermeasures to address a variety of threats</li><li>
Knowledge around leveraging automation, ML, and/or AI</li></ul>
Preferred Qualifications:
<ul><li>AWS certifications (Solutions Architect, DevOps Engineer, etc.).</li><li>
Experience with AI/ML tools:<ul><li>
AWS Bedrock</li><li>
Streamlit</li><li>
Claude Sonnet</li><li>
Vector Databases</li></ul></li><li>
Familiarity with generative AI integrations.</li></ul>
Annual Base Salary Range is 140K - 160K
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>
</div><div>Salary
140,000.00 - 160,000.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Cyber Senior Operations Specialist (Senior Engineer – Cloud Security)

TwelveLabs

<div>
 
 Who We Are
 
 
 
 At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
 
 
 With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA&rsquo;s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
 
 
 We are a global company that values the uniqueness of each person&rsquo;s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
 
 
 
 About The Role
 
 
 
 As a Senior Backend Software Engineer at TwelveLabs, you&rsquo;ll build the server-side infrastructure powering our new agentic application layer. You'll join a small, high-impact team and own the critical transition from prototype to production-ready platform.
 
 
 
 Up to 25% travel to Los Angeles is expected.
 
 
 
 Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
 
 
 
 In this role, you will
 
 
 
 Backend
 
 
 <ul>
 <li>
 Design and build backend services for video processing workflows &mdash; ingestion, transcoding, 4K export, metadata extraction, and timeline operations
 </li>
 <li>
 Architect scalable, high-availability systems to support enterprise-grade video workloads across cloud-native infrastructure (AWS, GCP)
 </li>
 <li>
 Build and optimize APIs that power real-time and async frontend workflows, including streaming data delivery and long-running job orchestration
 </li>
 <li>
 Own performance and reliability for distributed video processing pipelines with low latency and high throughput requirements
 </li>
 <li>
 Collaborate closely with frontend engineers on API design, data models, and streaming strategies
 
 
 </li>
 </ul>
 ML Integration
 
 
 <ul>
 <li>
 Integrate and run inference on computer vision models for tasks like video resizing, scene detection, automatic audio noise cleaning, and visual analysis
 </li>
 <li>
 Deploy and serve ML models on cloud-based or cloud-native platforms &mdash; evaluate build-vs-buy for model serving and SaaS alternatives
 </li>
 <li>
 Work with the research team to productionize model outputs into reliable, scalable backend services
 </li>
 <li>
 Build pipelines that bridge TwelveLabs&rsquo; foundation models with third-party CV models to power intelligent video workflows
 
 
 </li>
 </ul>
 
 You may be a good fit if you have
 
 
 
 <ul>
 <li>
 7+ years building production backend systems with a track record of designing scalable web services and APIs
 </li>
 <li>
 Experience with video-specific tools and frameworks (FFmpeg, AWS Media Services, transcoding pipelines)
 </li>
 <li>
 Deep experience with service-oriented architecture, microservices, and distributed systems
 </li>
 <li>
 Strong proficiency in Python for backend services, model integration, and tooling
 </li>
 <li>
 Hands-on experience running inference on ML/CV models in production &mdash; not research, but engineering models into reliable services
 </li>
 <li>
 Cloud-native development experience (AWS or GCP), including containerization (Docker, Kubernetes) and serverless patterns
 </li>
 <li>
 Comfort working across the stack and making pragmatic tradeoffs in a fast-moving product environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced API design skills (RESTful, streaming, async patterns)
 </li>
 <li>
 Familiarity with model serving platforms (TorchServe, Triton, SageMaker endpoints, or similar)
 </li>
 <li>
 Experience with MLOps practices &mdash; model deployment, monitoring, versioning
 </li>
 <li>
 Background in media, entertainment, or video streaming platforms
 </li>
 <li>
 Exposure to CI/CD pipelines and observability tools (Prometheus, Grafana) for production systems
 </li>
 <li>
 Experience with AI-powered product features or agentic application architectures
 
 
 </li>
 </ul>
 
 Benefits And Perks
 
 
 
 🤝 An open and inclusive culture and work environment.
 
 
 🚀 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
 
 
 🏥 Full health, dental, and vision benefits
 
 
 ✈️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
 
 
 🛂 VISA support where applicable
 
 
 Compensation Range: $145K - $190K
 
 
</div>

Senior Backend Software Engineer, Rodeo

Bank of America

<div>Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. 
 
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. 
 
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 
 
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 
The Sr. Information Security Architect &ndash; AI &amp; Cloud Security is a senior member of the BISO Secure Solutions Design team responsible for defining secure architecture patterns, assessing emerging AI/ML solutions, and ensuring alignment with Global Information Security (GIS) policies and enterprise architecture strategies. This role provides deep technical expertise in security design, risk evaluation, and threat modeling for both traditional systems and modern AI/Generative AI workloads.
This job is responsible for defining secure solution intent, evaluating system impacts, performing technical architecture assessments, and translating complex requirements into actionable controls across cloud, data, and application environments. You will partner closely with technology leaders, product teams, developers, and enterprise architects to ensure security is embedded into early design and that Generative AI systems are deployed in a resilient, safe, and compliant manner. 
The ideal candidate brings broad architecture experience, hands on technical depth, strong threat modeling skills, and demonstrated expertise securing AI, ML, and LLM-based systems.<div>
Required Qualifications 
<ul><li>8+ years of experience in information security or enterprise architecture, with recent focus on AI/ML or Generative AI security.</li><li>Proven experience performing secure architecture assessments, design reviews, and threat models for complex, integrated systems.</li><li>Strong understanding of Generative AI, LLM risk, and security frameworks (MITRE ATLAS, OWASP LLM Top 10, NIST AI RMF).</li><li>Broad experience across cloud platforms (AWS), identity, key management, secrets management, networking, containers, and API security.</li><li>Expertise in interpreting and applying internal security policies, standards, and controls.</li><li>Strong communication skills with the ability to convey complex technical concepts to technical and non technical audiences, including senior leadership.</li><li>Demonstrated ability to drive decisions, collaborate across teams, and balance risk vs. business needs.</li><li>Hands-on experience preparing technical diagrams and threat models.</li></ul></div><div>
Desired Qualifications 
<ul><li>Experience with advanced developer tools such as GitHub Copilot, Microsoft Copilot Studio, or similar AI coding assistants.</li><li>Certifications such as CISSP, CISM, CCSP, CCSK, CRISC, or cloud architecture/security certifications.</li><li>Familiarity with agile methodologies, DevOps practices, CI/CD pipelines, and developer experience platforms.</li><li>Experience in financial services or other regulated industries.</li></ul></div>
Key Responsibilities<div>
Security Architecture &amp; Solution Design 
<ul><li>Develop and maintain secure design patterns and controls for AI/ML solutions, including LLMs, RAG architectures, vector databases, and enterprise AI agents.</li><li>Define secure operating environment and ensure alignment with enterprise architecture strategy and GIS standards.</li><li>Evaluate system impacts, data flows, integration points, and non-functional requirements such as security.</li><li>Provide solution options to resolve architectural constraints and remove design impediments.</li><li>Participate in design reviews, feature decomposition, and technical governance for AI-enabled platforms and SDLC-integrated developer tools (e.g., GitHub Copilot, Microsoft Copilot Studio).</li></ul></div><div>
AI/ML Security, Threat Modeling &amp; Risk Assessments 
<ul><li>Conduct AI-specific risk assessments using frameworks including MITRE ATLAS, OWASP Top 10 for LLMs/GenAI, and NIST AI RMF.</li><li>Perform detailed threat modeling (STRIDE or equivalent) for cloud, application, data, and AI use cases.</li><li>Identify risks such as prompt injection, model/data poisoning, data leakage, model theft, hallucinations, and supply chain risk across model, dataset, and embedding ecosystems.</li><li>Define compensating controls and architectural safeguards for AI/ML pipelines, including input/output filtering, retrieval restrictions, data minimization, privacy controls, and identity boundaries.</li></ul></div><div>
Collaboration &amp; Governance 
<ul><li>Work across lines of business, operations, enterprise architecture, data science, and development teams to ensure clear solution intent and secure-by-design outcomes.</li><li>Translate policy and standards into actionable architecture guidance for delivery teams.</li><li>Educate partners on architectural best practices, security control requirements, and evolving AI threat landscapes.</li><li>Support technology stack evaluations and selection of secure tools, platforms, and third-party integrations.</li><li>Provide architecture review documentation, data flow diagrams, and risk summaries to support governance processes.</li></ul></div>
Skills:<ul><li>
Analytical Thinking</li><li>
Architecture</li><li>
Result Orientation</li><li>
Solution Design</li><li>
Technical Strategy Development</li><li>
Application Development</li><li>
Collaboration</li><li>
Data Management</li><li>
DevOps Practices</li><li>
Risk Management</li><li>
Agile Practices</li><li>
Automation</li><li>
Influence</li><li>
Solution Delivery Process</li><li>
Test Engineering</li></ul>
Shift:
1st shift (United States of America)
Hours Per Week:
40</div>

Sr. Information Security Architect â€“ AI & Cloud Security

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<div>
Please review the following job description:</div>
***This position will be 5 days a week in the office in VA near hiring manager*** 
 
***For this opportunity, Truist WILL NOT sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including all H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)*** 
 
The Cyber Senior Operations Specialist (Senior Engineer &ndash; Cloud Security)
 
 
We are seeking a highly skilled Engineer to join our technology team.
 
 
The ideal candidate will excel in designing secure, scalable, and automated cloud solutions, with deep expertise in PYTHON, AWS, Container and CI/CD and Infrastructure as code (IaC) with security knowledge delivery practices.
 
 
This role will focus on building modern cloud infrastructure, automating deployments, enhancing security posture, and ensuring seamless collaboration across engineering teams.
The annual base salary for this position is $140,000 - $160,000
Essential Duties and Responsibilities
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.<ul><li>
Automate operational workflows using Python.</li><li>
Build and manage CI/CD pipelines using GitLab.</li><li>
Manage AWS services and ensure secure, scalable cloud environments.</li><li>
Build, deploy, and automate containerized applications.</li><li>
Develop Infrastructure as Code using Terraform and CloudFormation.</li><li>
Implement and support cloud security tools (e.g., Wiz).</li><li>
Troubleshoot and resolve pipeline, cloud, and infrastructure issues.</li><li>
Collaborate with cross-functional engineering and security teams.</li></ul>
Technical Skills<ul><li>
Proficiency in Python scripting.</li><li>
Strong GitLab CI/CD pipeline development.</li><li>
Strong hands-on experience with AWS, including:<ul><li>
IAM</li><li>
ECS / EKS</li><li>
EC2</li><li>
S3</li><li>
CloudTrail</li><li>
CloudWatch</li><li>
CloudFront</li><li>
VPC and AWS networking</li></ul></li><li>
Infrastructure as Code with Terraform and CloudFormation.</li><li>
Strong container development and automation experience.</li><li>
Experience with cloud security tools (e.g., Wiz).</li><li>
Exposure to Azure (preferred).</li><li>
Excellent communication and interpersonal skills.</li><li>
Strong analytical and problem-solving capabilities.</li><li>
Ability to collaborate effectively across diverse teams.</li></ul>
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Cybersecurity, or related field of relevant education, certification, or related training.</li><li>
Three years of experience in Cybersecurity or related work</li><li>
Knowledge of one or more cloud platforms and cloud security</li><li>
Knowledge of general information technology (IT) and cybersecurity</li><li>
Knowledge of computer networking concepts and protocols, and network security methodologies.</li><li>
Knowledge of network traffic analysis and packet-level analysis using appropriate tools (e.g., Wireshark, tcpdump).</li><li>
Knowledge of operating systems, including Windows/Unix ports and services.</li><li>
Knowledge of modern identity and access management concepts</li><li>
Knowledge of phishing tactics and techniques</li><li>
Knowledge of advanced cyber threats and vulnerabilities.</li><li>
Knowledge of cyber-attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks).</li><li>
Knowledge of incident response and handling methodologies.</li><li>
Knowledge of threat hunting techniques</li><li>
Knowledge of countermeasures to address a variety of threats</li><li>
Knowledge around leveraging automation, ML, and/or AI</li></ul>
Preferred Qualifications:
<ul><li>AWS certifications (Solutions Architect, DevOps Engineer, etc.).</li><li>
Experience with AI/ML tools:<ul><li>
AWS Bedrock</li><li>
Streamlit</li><li>
Claude Sonnet</li><li>
Vector Databases</li></ul></li><li>
Familiarity with generative AI integrations.</li></ul>
Annual Base Salary Range is 140K - 160K
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Cato Institute

<div>Description:

The Cato Institute seeks qualified candidates for the Senior Research Engineer, Applied AI position. AI tools are proliferating rapidly. Making them genuinely useful for policy research requires someone who bridges the gap between what these systems have the potential to do with the breadth, depth, precision, and traceability that good research demands.
The Cato Institute has already begun creating AI-enhanced research capabilities. The Senior Research Engineer, Applied AI, joins that effort as Cato&rsquo;s first dedicated engineering position focused on the research domain &mdash; a role with significant latitude to shape how research technology evolves at Cato.
The Senior Research Engineer closely partners with research teams, understanding their problems and identifying where AI and other advanced methods can make a real difference.
And the Senior Research Engineer gets their hands dirty, building state-of-the-art, research-grade tooling and capabilities &mdash; such as context engineering architectures, AI output benchmarking tools, and literature discovery systems.
Project priorities emerge through consultation between the Senior Research Engineer, the CTA, and research leadership &mdash; a process that will take shape as this new role matures, and the Senior Research Engineer will play an active part in shaping it.
The projected salary range for this role is $100,000 - $190,000 per year.
Compensation is based on the successful candidate's educational background, experience, and skills.
About Cato
The Cato Institute is a public policy research organization &mdash; a think tank &mdash; dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.
Founded in 1977, Cato owes its name to Cato&rsquo;s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution &mdash; individual liberty, limited government, and free markets &mdash; turn out to be even more powerful in today&rsquo;s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.
Cato Institute is an Equal Opportunity Employer.
Responsibilities<ul><li>
Organize and support a cross-department working group to:</li></ul><ul><li>Identify opportunities for AI-enhanced research methods</li><li>Establish best practices, training materials, and reusable templates that help scholars leverage AI tools effectively</li></ul><ul><li>
Build research tools and multi-step AI workflows that improve how scholars work, iterating system architecture and integrations based on their feedback and usage</li><li>
Design and implement context engineering systems to structure Cato&rsquo;s policy research for accurate retrieval and analysis by AI agents</li><li>
Evaluate AI outputs against scholarly standards, diagnosing whether poor results stem from context gaps, architectural flaws, or model limitations &mdash; and implement programmatic guardrails that enforce analytical rigor and empirical honesty</li><li>
Partner with scholars and data visualization specialists on the technical infrastructure of major reports</li></ul>
Likely Initial Focus Areas (First 6-12 Months)<ul><li>
Launch the cross-department AI-enhanced research working group</li><li>
Discover existing research technology usage and workflows between multiple Cato research departments</li><li>
Devise and execute empirical assessment methods for custom AI instructions already in use</li><li>
Build tools and create technical organization to address opportunities identified by the working group and discovery</li></ul>
Requirements:

Education and Experience<ul><li>
Bachelor&rsquo;s degree in computer science, data science, statistics, economics, computational social science, or a related quantitative or technical field</li><li>
5+ years of experience building software, tools, or data systems, including experience in or serving research, policy, government, or academic environments</li><li>
Expertise building LLM-enabled systems (prompting, retrieval/context construction, tool use, and evaluation), and iterating them based on structured empirical evaluation</li><li>
Proficiency with multiple major LLMs: ChatGPT, Claude, Gemini, and/or Grok</li><li>
Proficiency with Python to build research tools and integrate AI capabilities</li><li>
Working knowledge of Claude Code, Codex, or similar agentic AI development tools</li><li>
Familiarity with research methods and analytical workflows in a policy, academic, or government setting &mdash; sufficient to collaborate meaningfully with researchers and evaluate whether tool outputs meet scholarly standards</li></ul><h4 class="jobSectionHeader">
Knowledge and Skills</h4><ul><li>
Strong written and verbal communication, with the ability to explain technical concepts to non-technical researchers and document systems clearly</li><li>
Self-directed, intellectually curious, and comfortable working across departments in an advisory and collaborative capacity</li><li>
Familiarity with Cato's work or demonstrated interest in public policy</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
A demonstrated ability to rapidly acquire new technical skills from first principles to adapt to the highly accelerated pace of AI development</li><li>
Experience with SQL and data pipeline tools to transform and structure research datasets for analysis and retrieval</li><li>
Experience with R, Stata, or other research-oriented programming languages</li><li>
Familiarity with cost-performance trade-offs across AI model tiers</li><li>
Familiarity with think tank, government, or academic research environments</li></ul>
Benefits
All Cato employees are provided:<ul><li>
Medical, dental, and vision insurance</li><li>
Employer contribution to a Health Savings Account (HSA)</li><li>
Generous vacation and sick days</li><li>
Paid parental leave</li><li>
Employer-provided life and disability insurance</li><li>
401(k) employer match</li><li>
Transit/Parking benefits</li><li>
Pet discount plan</li></ul>
To Apply
Please submit the following materials:<ul><li>
Resume or CV</li><li>
A cover letter &mdash; written by your own hand, not with the LLM tools you&rsquo;ve mastered, so we can best understand your genuine thought process &mdash; detailing your experience at the intersection of research and engineering, your interest in leveraging AI and other advanced technology for policy research, and why Cato&rsquo;s mission appeals to you</li><li>
Optional: links to code repositories, personal projects, or technical writing</li></ul>
Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.</div>

Senior Research Engineer, Applied AI

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