ai security specialist

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.
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Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
***This role is 5 days a week in the Charlotte Office*** 
 
The AI Security Engineer helps design, implement, test, and operate the controls that keep enterprise AI systems safe, governed, and production-ready.
 
 
This role focuses on the security engineering foundations required for AI-enabled applications, agents, prompt-driven workflows, and tool-integrated automations operating in a regulated enterprise environment.
 
 
This is a hands-on engineering role within the Forge AI Security &amp; Governance model.
 
 
The engineer supports guardrail implementation, prompt-injection defense, output filtering, monitoring, secure tool-use boundaries, logging, detection content, and deployment-readiness controls for AI-enabled systems.
 
 
The work spans design, testing, automation, detection engineering, and operational support across the AI delivery lifecycle.
 
 
Daily work includes implementing security controls for AI and agentic systems, validating configurations, supporting adversarial test preparation, building monitoring logic, partnering with engineering to harden prompt and tool behaviors, documenting controls, and ensuring AI solutions meet enterprise safety, traceability, and governance requirements before and after deployment.
 
 
***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, but not limited to 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.)***
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>
Implement and maintain security controls for AI-enabled applications, agents, prompts, and workflow automations, including input validation, output filtering, access controls, and governed tool-use restrictions.</li><li>
Support development and operationalization of AI guardrails that reduce risk from prompt injection, unsafe responses, unauthorized tool execution, data leakage, and insecure workflow behavior.</li><li>
Assist with adversarial and misuse-oriented testing activities by preparing scenarios, validating defenses, capturing findings, and supporting remediation with engineering teams.</li><li>
Build and maintain monitoring and alerting logic for AI or agentic systems, including suspicious prompt patterns, abnormal workflow behavior, anomalous tool invocation, or policy-violating output patterns.</li><li>
Contribute to runtime safety patterns such as content filters, role/permission boundaries, logging, evidence capture, and traceability controls required for secure deployment and audit readiness.</li><li>
Partner with product and engineering teams to embed AI security expectations into design reviews, acceptance criteria, test plans, and deployment gates from the beginning of the delivery cycle.</li><li>
Validate that AI-enabled solutions meet required security and governance standards before release, including deployment gate criteria, control validation, and documentation completeness.</li><li>
Support incident investigation and remediation for AI-related control failures, suspicious behavior, or production observations that indicate safety or security degradation.</li><li>
Help maintain control documentation, implementation notes, runbooks, remediation evidence, and operating procedures for AI security engineering activities.</li><li>
Collaborate with AI quality, QA, platform, data, and security teams to ensure safe, resilient, and observable AI solutions across development and production environments.</li><li>
Continuously improve automation, guardrail logic, validation workflows, and monitoring content as AI capabilities, workflows, and attack patterns evolve.</li></ul>
QUALIFICATIONS 
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 and equivalent combination of advanced education and experience, which could include any combination of 8 years of experience in IT software engineering, 5 years&rsquo; relevant business experience (i.e. making technical-related decisions on the business side), 5 years&rsquo; experience in project management, and at least 2 years of management experience</li><li>
Broad and in-depth knowledge of technology trends, competitive environment, regulatory requirements and trends, and IT strategies employed to continually meet the demands of clients and regulators</li><li>
Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions</li><li>
Executive level communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services</li><li>
Ability to lead projects of significant complexity and risk exposure, particularly with enterprise-wide implications</li><li>
Ability to exercise judgment in solving technical, operational, and organizational challenges in the context of complex business objectives and priorities</li><li>
Ability to lead and manage the performance of multiple teams against a set of financial and operational objectives</li></ul>
Additional Requirements:<ul><li>
3+ years of experience in security engineering, cybersecurity operations, application security, or a closely related technical discipline.</li><li>
Hands-on experience implementing technical controls for enterprise software, APIs, cloud-native services, or automation workflows.</li><li>
Working knowledge of AI/LLM security concepts such as prompt injection, unsafe output handling, tool-use abuse, sensitive data exposure, and control boundary enforcement.</li><li>
Experience with logging, alerting, monitoring, or detection content for identifying suspicious or policy-violating behavior in applications or workflows.</li><li>
Understanding of access control, identity boundaries, secrets handling, secure integration design, and environment-based deployment controls.</li><li>
Ability to work with engineering teams to translate security concerns into implementable guardrails, validations, and release controls.</li><li>
Strong written documentation and communication skills, especially for controls, findings, remediation evidence, and technical guidance.</li><li>
Experience operating within enterprise governance, security, and release-management practices where evidence-based deployment readiness matters.</li></ul><div>
PREFERRED QUALIFICATIONS<ul><li>
Experience with AI or agentic security controls, prompt and output protection strategies, or security validation of LLM-enabled features.</li><li>
Experience with Microsoft, Azure, Copilot / Copilot Studio, or AI-enabled enterprise workflow platforms.</li><li>
Experience with adversarial testing, red teaming support, detection engineering, or misuse-case validation for AI-enabled systems.</li><li>
Experience in financial services, cybersecurity, regulated enterprise environments, or platforms with high audit and control requirements.</li><li>
Familiarity with secure tool-calling patterns, API protections, model or prompt change validation, and runtime traceability for AI systems.</li><li>
Working knowledge of cloud-native security patterns, telemetry analysis, and deployment gating for modern engineering teams.</li></ul></div>
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Up to 50%
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>

AI Security Engineer

Inception

<div>
 
 Overview
 
 
 
 Specialist Enterprise Tooling Engineer
 
 
 As a Specialist Enterprise Tooling Engineer at Inception, you will play a pivotal role in designing, implementing, and optimizing the enterprise tooling landscape, ensuring seamless integration and robust governance across the organization. This role combines strategic vision with hands-on engineering to deliver secure, scalable, and high-performing tooling solutions that empower both technical and business teams.
 
 
 
 The opportunity
 
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai.
 
 
 
 Responsibilities
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Strategic Tooling Roadmap: Define the long-term vision for the Inception enterprise tooling stack, evaluating emerging technologies and retiring legacy tools to maintain an efficient and innovative environment.
 </li>
 <li>
 Lifecycle &amp; Access Management: Develop and oversee identity lifecycle processes, including provisioning, RBAC, and automated deprovisioning. Ensure secure SSO integration, promote a "Least Privilege" model, and safeguard intellectual property within all enterprise tools and platforms.
 </li>
 <li>
 Enterprise Tooling Governance: Set and enforce governance frameworks and security guardrails for critical platforms, ensuring compliance with Zero Data Retention (ZDR) policies and protecting proprietary assets.
 </li>
 <li>
 DevSecOps Integration: Architect and implement advanced security tooling such as SAST, DAST, and GitHub Advanced Security (GHAS) within the CI/CD pipeline, enabling proactive threat detection and "Shift-Left" security practices.
 </li>
 <li>
 Document processes, procedures, and configurations to support knowledge sharing, operational excellence, and compliance requirements.
 </li>
 <li>
 Stay up-to-date with the latest developments in DevOps, cloud tooling, and security best practices, proactively recommending enhancements to strengthen security, efficiency, and developer experience.
 </li>
 <li>
 Executive Reporting: Design and deliver automated dashboards (e.g., Power BI) to provide CxO-level insights into developer productivity, tool utilisation, and cloud cost optimisation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years in DevOps, Tooling, or Platform Engineering.
 </li>
 <li>
 Excellent troubleshooting, analytical, and problem-solving skills.
 </li>
 <li>
 Effective communication and collaboration skills; ability to work across teams and explain technical concepts to non-technical stakeholders
 </li>
 <li>
 Security-minded, with knowledge of RBAC, secrets management, and compliance best practices
 </li>
 <li>
 Portfolio or examples of hands-on work with relevant tools and platforms are highly desirable
 </li>
 <li>
 Microsoft Certified: Azure Administrator Associate, Azure DevOps Engineer Expert, or equivalent.
 </li>
 <li>
 Proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 </li>
 <li>
 Expert Certification: Must hold Microsoft Certified: Azure DevOps Engineer Expert (AZ-400).
 </li>
 <li>
 GitHub Credential: Must hold (or be able to obtain) GitHub Administration or GitHub Advanced Security certification.
 </li>
 <li>
 AI Fluency: Proven experience managing enterprise-grade AI coding assistants and LLM API integrations.
 </li>
 <li>
 Infrastructure: Deep mastery of Terraform/Bicep and Azure Kubernetes Service (AKS).
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers
 
 
 
 
 Culture
 
 : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 Career
 
 : Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 Work-Life
 
 : A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 Rewards
 
 : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Specialist - Enterprise Tooling

Elemental Day Surgical Center

Job Title: AI Specialist &ndash; Healthcare Location: DubaiAbout Us: We are a modern Day Surgical Center committed to delivering high-quality, efficient, and patient-centered care. As part of our innovation strategy, we are integrating advanced artificial intelligence solutions to enhance clinical outcomes, streamline operations, and improve patient experience.Role Overview: We are seeking a skilled AI Specialist to design, implement, and manage AI-driven solutions tailored to a surgical care environment. The ideal candidate will bridge healthcare operations and advanced technologies, ensuring compliance, accuracy, and real-world impact.He will implement AI tools into the company&rsquo;s business processes in order to automate operations, improve efficiency, enhance customer service, strengthen marketing and analytics, and optimize internal workflows.Key Responsibilities:<ul><li>Develop and deploy AI models for clinical and operational use (e.g., scheduling optimization, patient triage, predictive analytics)</li><li>Collaborate with medical, administrative, and IT teams to identify AI opportunities</li><li>Integrate AI solutions with existing healthcare systems (EMR/EHR)</li><li>Ensure compliance with healthcare regulations and data privacy standards</li><li>Monitor and continuously improve AI system performance</li><li>Provide training and support to staff on AI tools</li><li>Stay updated on emerging AI trends in healthcare</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field</li><li>Proven experience in AI/ML development and deployment</li><li>Experience in healthcare or clinical environments preferred</li><li>Strong programming skills (Python, TensorFlow, PyTorch, etc.)</li><li>Knowledge of healthcare data standards and compliance (HIPAA or equivalent)</li><li>Excellent problem-solving and communication skills</li></ul>Preferred Qualifications:<ul><li>Experience with medical imaging, NLP in healthcare, or predictive analytics</li><li>Familiarity with surgical workflows or outpatient care systems</li><li>Understanding of data security and ethical AI practices</li><li>Russian Speaking candidate is added advantage.</li></ul>What We Offer:<ul><li>Competitive salary and benefits</li><li>Opportunity to work at the forefront of healthcare innovation</li><li>Collaborative and supportive work environment</li><li>Professional development and training opportunities</li></ul>How to Apply: Please submit your CV and a brief cover letter outlining your experience and interest in the role to hr@elemental.ae.Job Type: PermanentWork Location: In person

AI Specialist

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Application deadline: May 12, 2026 
 
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. 
 
AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise in critical security domains. As part of the AWS sales organization, SSAs work with customers facing complex data protection challenges that require expert-level knowledge to solve. SSAs craft secure, scalable, and resilient technical architectures that address these challenges while maintaining the highest security standards. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA! 
 
Customers trust AWS with their most sensitive workloads, and data protection is where that trust is built. Whether they are managing encryption across thousands of accounts, migrating to new cryptographic standards, or extending security controls into generative AI and agentic architectures, they need expert guidance to do it confidently and at scale. This role exists to provide that guidance.
 
 
As a Principal Specialist Solutions Architect for Data Protection, you will lead complex customer engagements across encryption, key management, secrets management, and certificate services at scale. You will develop and scale technical expertise across the AWS field community, and work closely with AWS service teams to translate what you learn from customers into product improvements that make our data protection services better for everyone. 
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers and partners succeed. Together, specialists and partners provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. 
 
Key job responsibilities 
<ul><li>Lead complex data protection engagements with enterprise customers, guiding their adoption of AWS data protection services including AWS KMS, AWS Private CA, AWS Secrets Manager, AWS Payment Cryptography, and AWS CloudHSM</li><li>Lead technical strategy for encryption and key management architectures, including hybrid, multi-cloud, and post-quantum cryptography migration planning</li><li>Help customers secure their generative AI and agentic workloads by designing data protection architectures that maintain confidentiality, integrity, and access control as data flows through AI pipelines</li><li>Amplify voice of the customer back to AWS data protection product teams, surface field patterns, identify gaps, and translate feedback into clear requirements that shape the roadmap</li><li>Provide security expertise and support for customers implementing AI technologies, ensuring secure, compliant, and trustworthy deployments</li><li>Stay current with evolving AI security threats, post-quantum cryptography standards, and data sovereignty regulations to continuously improve guidance to customers</li><li>Create and deliver internal/external training, workshops, and conference presentations on data protection best practices</li><li>Collaborate with service teams, security specialists, and the Data Protection AWS community to capture and share technical insights at scale</li><li>Author data protection best practices, reference architectures, and prescriptive guidance</li><li>Build and maintain relationships with AWS Partners to design and deliver architectures that combine AWS-native data protection services with partner solutions</li><li>Design and implement scalable programs and automation tools that amplify data protection best practices across the field</li></ul> 
About the team 
Diverse Experiences 
 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth 
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science, engineering, mathematics or equivalent</li><li>Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications</li><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>6+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>5+ years of data or data protection solution architecture experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in design, implementation, support, and evaluation of security-focused tools and services</li><li>Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists)</li><li>Deep technical expertise with AWS KMS (key policies, grants, multi-region keys, key hierarchy design), AWS Private CA, and AWS Secrets Manager</li><li>Experience with cryptographic architectures including HSM integration and certificate lifecycle management</li><li>Familiarity with post-quantum cryptography standards and migration strategies</li><li>Experience securing generative AI or agentic workloads, or a strong point of view on how data protection models need to evolve for AI-native architectures</li><li>Experience with data sovereignty, compliance frameworks (FedRAMP, PCI DSS, HIPAA), and regulatory requirements related to encryption and key management</li><li>Strong background in security architecture and AWS Well-Architected Framework</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CO, Denver - 182,800.00 - 247,300.00 USD annually 
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually 
USA, IL, Chicago - 182,800.00 - 247,300.00 USD annually 
USA, TX, Dallas - 182,800.00 - 247,300.00 USD annually 
USA, TX, Houston - 182,800.00 - 247,300.00 USD annually 
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually</div>

Principal WW Specialist SA, Data Protection, AWS WWSO Security Services

IO Health

Role Overview: The Solution Governance Analyst supports the design, maintenance, and monitoring of governance frameworks and compliance metrics and KPIs across our AI and Agentic solutions. Working under the direct supervision of the Solution Governance Specialist and Automation Lead. this role ensures that systems, data, and processes align with regulatory requirements, internal policies, and industry standards; translating compliance obligations into practical operational controls.Focus Areas:- Regulatory Compliance- Data, Solutions and Model Governance- Risk Management and Guardrails- Policy and Auditing- Automation and WorkflowsKey Responsibilities:1. Maintain up to date logics for all Agentic and AI Model Metrics and KPIs2. Run Production ready Agents and Flows under the internal governed policies, in addition to enforcing the pre-deployment and post deployment checks3. Enforce version control, traceability, security, and RAI policies across code repositories, including access permissions, branch protection, and change approval workflows4. Conduct periodic reviews and logs to ensure repository access reflects current role-based privileges5. Enforce multi-factor authentication (MFA) and single sign-on (SSO) policies across all applicable platforms, ensuring account segregation standards are met.6. Track review cycles and manage timely renewals, approvals, and acknowledgementsRequirements:- Bachelor&rsquo;s degree in IT, Cybersecurity, Health Informatics, or a related field- Familiarity with AI Models, and Automated Agents, IAM concepts (i.e. MFA, SSO)- Excellent documentation, reporting, and written communication skills- 1 to 2 years in compliance / governance, or IT security- Communication and Interpersonal Skills / Working across teamsA plus to have:- Familiarity with healthcare and claims fields- Exposure to ISO 27001, SOC 2, or NIST frameworks- Cloud Security Awareness- Familiarity with AI Modelling Metrics and EvaluationWork Location: In person

Solution Governance Analyst

STC Bahrain

stc Bahrain provides telecommunications and digital services across Bahrain.At stc Bahrain, cybersecurity roles usually sit within Business Products &amp; Solutions / ICT / SOC (Security Operations / Enterprise Security) teams.Core Responsibilities:Depending on level (SOC Analyst, Engineer, or Specialist), typical duties include:1. Threat Monitoring &amp; DetectionMonitor security alerts from SIEM tools and SOC systemsDetect suspicious network activity and cyber threatsAnalyze logs from servers, endpoints, and cloud systems2. Incident ResponseInvestigate cyber incidents (malware, phishing, breaches)Contain and escalate security threatsSupport recovery and forensic analysis3. Security OperationsMaintain firewalls, IDS/IPS, endpoint protection toolsApply security patches and updatesEnsure network and cloud security compliance4. Risk &amp; ComplianceSupport cybersecurity audits and risk assessmentsEnsure alignment with ISO 27001 and telecom security standardsDocument vulnerabilities and mitigation plans5. Enterprise &amp; Cloud Security (advanced roles)Secure cloud platforms and applicationsManage identity/access control systemsSupport Zero Trust security frameworksstc also operates a large SOC and AI-driven cybersecurity ecosystem protecting networks, cloud, and enterprise systemsSkills &amp; Requirements:Bachelor&rsquo;s in IT / Computer Science / CybersecurityCertifications (preferred):Security+ / CEH / CISSP / CCNA SecurityKnowledge of:SIEM tools (Splunk, QRadar)Firewalls, endpoint security, IDS/IPSStrong analytical and incident handling skillsUnderstanding of telecom or enterprise networks is a plusPay: From RO1,000.000 per monthWork Location: In person

Cybersecurity (stc Bahrain)

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

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