<p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>Security Engineering & Infrastructure</p><ul><li>Design, implement, and maintain security solutions across on-premises and cloud environments.</li><li>Manage firewalls, endpoint protection, IDS/IPS, and network security controls.</li><li>Implement identity and access management (IAM), MFA, PAM, and Zero Trust security.</li><li>Collaborate with IT teams to secure enterprise systems, networks, and applications.</li></ul><p>Threat Detection & Incident Response</p><ul><li>Monitor and investigate security threats using SIEM and EDR/XDR platforms.</li><li>Conduct threat hunting, incident investigations, and root cause analysis.</li><li>Develop incident response procedures and coordinate remediation efforts.</li></ul><p>Vulnerability Management & Risk</p><ul><li>Perform vulnerability assessments and security risk evaluations.</li><li>Identify, prioritize, and remediate security vulnerabilities.</li><li>Support patch management, system hardening, and threat mitigation.</li></ul><p>Cloud Security & Automation</p><ul><li>Implement security controls across AWS, Azure, or Google Cloud environments.</li><li>Automate security monitoring and remediation using Python, PowerShell, or similar tools.</li><li>Integrate security practices into DevOps and CI/CD processes.</li></ul><p>Governance & Compliance</p><ul><li>Support security policies, audits, and regulatory compliance initiatives.</li><li>Apply NIST, ISO 27001, and CIS security frameworks.</li><li>Maintain security documentation and support disaster recovery planning.</li></ul><p>Required Qualifications</p><ul><li>Bachelor's degree in Cybersecurity, IT, Computer Science, or equivalent experience.</li><li>3–5+ years of cybersecurity engineering or information security experience.</li><li>Strong knowledge of network security, firewalls, VPNs, and TCP/IP.</li><li>Experience with SIEM tools such as Splunk, Microsoft Sentinel, or QRadar.</li><li>Hands-on experience with endpoint security tools such as CrowdStrike, Defender, or SentinelOne.</li><li>Experience with vulnerability management, threat detection, and incident response.</li><li>Knowledge of Windows, Linux, Active Directory, IAM, and cloud security (AWS, Azure, or GCP).</li><li>Familiarity with security frameworks, risk management, and compliance standards.</li><li>Strong troubleshooting, analytical, and communication skills.</li></ul><p><br></p>