Cyber Forward Deployed Engineer - Senior Consultant
- Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
- Identify, troubleshoot, and resolve technical issues within scope
- Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
- Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
- Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.
- Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
- Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
- Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
- Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements
- Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
- Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Limited immigration sponsorship may be available.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
- Hands-on experience in full stack development across frontend and backend technologies.
- Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience conducting code reviews and guiding teams on best practices.
- Experience delivering and scaling applications on AWS, Azure, or GCP.
- Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents
- Experience guiding teams on AI architecture, platform selection and integration into production systems.
- Experience with scalability, governance, and performance considerations for AI-enabled solutions.
- 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
- 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
- 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
- 5+ Years experience articulating technical concepts, risks, and trade-offs.
- 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.
- Anthropic experience and/or certification STRONGLY preferred
- Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch ).
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