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Leads the strategic adoption of AI for cybersecurity and incident response. Identifies AI/ML security use cases, evaluates emerging technologies and vendors, develops implementation roadmaps, manages cross-functional technical projects, and ensures security, privacy, and compliance. The role also assesses AI readiness, coordinates stakeholders, defines success metrics, supports change management, and develops training and documentation for AI-enabled security operations.

Designs, develops, deploys, and operates intelligent automation solutions using AI/ML, open-source LLMs, and MCP integrations. Builds document-processing and data-cleansing bots, agentic workflows, and reusable automation components. Owns MLOps pipelines, model retraining, governance, token optimization, monitoring, troubleshooting, and performance tuning. Partners with stakeholders to identify automation opportunities, ensures security and compliance, and evaluates emerging models and frameworks.

Designs, develops, deploys, and supports full-stack intelligent applications integrating AI/ML models with business workflows. Builds reusable document processing, data extraction, classification, and data cleansing solutions; develops MCP servers and tools; manages model deployment, monitoring, retraining, and optimization. Troubleshoots production issues, performs root cause analysis, maintains operational documentation, and collaborates with business, data, infrastructure, security, and platform teams.

Designs and maintains AWS-based DevSecOps architectures and CI/CD pipelines, including automated testing, security scanning, infrastructure as code, container deployment, release controls, monitoring, and compliance automation. Integrates pipelines with CMDB, asset management, and observability platforms; develops governance dashboards and metrics; ensures adherence to security, privacy, and credentialing policies; and coaches technical teams on secure development and automation practices.

Designs, develops, deploys, and optimizes generative AI and machine learning solutions on AWS. Builds Amazon Bedrock and RAG applications, document-processing bots, APIs, and scalable ML models. Responsibilities include model evaluation, monitoring, troubleshooting, continuous improvement, data extraction, and cross-functional AI integration. The role requires expertise in Python, cloud architecture, OCR technologies, NLP, deep learning, CI/CD, and web application development.

Supports machine learning development for fraud detection, including data preprocessing, feature engineering, model training, evaluation, experiment tracking, drift monitoring, and batch scoring. Maintains Python data pipelines, Jupyter reporting artifacts, and MLflow documentation. Assists with NLP/NER transformations and UiPath Maestro integration testing while following government security, data governance, CI/CD, and EPLC documentation requirements.

Designs, builds, deploys, and optimizes generative AI and machine learning solutions on AWS, including Amazon Bedrock, foundation models, and RAG architectures. Develops document-processing automation, APIs, AI/ML models, monitoring, evaluation, and continuous-improvement processes. Integrates OCR, ICR, OMR, NLP, and data extraction capabilities while collaborating with cross-functional teams. The role also supports scalable cloud architecture, serverless applications, CI/CD, DevSecOps, and post-implementation troubleshooting.

Develop and maintain scalable full-stack web applications, including front-end and back-end components, testing, authentication, third-party integrations, and secure coding. Manage CI/CD pipelines, cloud deployments, monitoring, version control, and documentation. Collaborate with cross-functional teams, troubleshoot defects, mentor developers, and lead software development teams supporting large-scale government cybersecurity capabilities.

Supports federal technology integration initiatives by identifying and prioritizing use cases, gathering and documenting requirements, facilitating stakeholder workshops, translating mission needs into technical capabilities, and developing business cases and success criteria. The role coordinates technical and operational stakeholders, maintains requirements traceability, supports governance and leadership briefings, produces status communications, and drives lessons learned. Work supports cybersecurity operations and requires an active Secret clearance, U.S. citizenship, and DHS Entry on Duty suitability.

Provide cyber incident response support during an assigned shift for government and critical infrastructure customers. Triage and investigate network defense incidents, correlate alerts and incident data, assess severity and impact, identify causes and infection vectors, recommend mitigation and defense-in-depth measures, research resolution steps, monitor threat information, and track incidents through final resolution.