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Provides cybersecurity transformation consulting across sectors, helping clients shape cybersecurity strategies, resolve cyber issues, transition to new business models, and align security with business goals. The role involves stakeholder engagement, project and technical program delivery, cybersecurity consulting, proposal development, business development, and team collaboration. It requires broad expertise across cybersecurity people, processes, and technology, plus strong consulting, relationship-building, and sector knowledge.

Lead cybersecurity transformation consulting engagements across consumer, manufacturing, and industrial sectors. Shape cybersecurity strategies, guide business-model transitions, resolve cyber issues, manage technical programs and teams, build stakeholder relationships, support proposals and business development, and deliver outcomes using a client-centric, agile approach.

Develops and prototypes generative AI systems, including RAG pipelines, knowledge graphs, vector search, and agentic architectures. Integrates AI models with APIs, data sources, and production systems while applying prompt engineering, evaluation, LLMOps, cloud, DevOps, distributed systems, microservices, and REST API practices. Collaborates with clients and multidisciplinary teams in an agile consulting environment, explores emerging AI technologies, and shares knowledge across the internal AI community.

The Technical Lead will shape the software delivery lifecycle, implement CI/CD strategies, enhance system performance, and mentor engineers while collaborating with various stakeholders to solve complex challenges.

Design, build and deploy production data pipelines and big-data architectures on AWS. Ingest, process and curate large structured and unstructured datasets, integrate multiple sources, write ETL scripts and SQL, and collaborate with cross-functional teams to deliver data warehouse and data lake solutions.

Provide security management and risk-led architecture for operational technology and industrial control environments (SCADA, DCS, PLCs/RTUs). Advise on industrial IoT, cybersecurity monitoring, standards compliance (NERC CIP, IEC 62443, NIST, ISO), and sector-specific controls across energy, utilities, transport, water, oil & gas and critical infrastructure.

As a Solution Architect, you will lead engineering teams, shape architectural vision, support project planning, and enhance applications across various sectors using hybrid methodologies and cloud technology.

Design, prototype, and deploy generative AI systems (RAG, agents) and integrate LLMs with data sources and production systems. Build cloud-native solutions, apply LLMOps and model evaluation, and collaborate cross-functionally to deliver scalable AI products.

The Data Engineer will design and deploy production data pipelines, work with AWS technologies, and integrate data from various sources while collaborating with teams and stakeholders.

The Technical Lead will manage and lead engineering teams, drive software delivery improvements, implement CI/CD, and enhance system performance while collaborating with stakeholders across various projects.