Job description

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients’ post-deployment. Recruiting for this role ends on 12/31/2026. Work you'll do As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for: • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture • Identifying, troubleshooting, and resolving technical issues within scope • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes • Contributing to solution design and aligning client needs with delivery feasibility • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer A successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The team Deloitte’s Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. Qualifications Required: • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies. • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). • Backend expertise 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 deploying applications on AWS, Azure, or GCP. • Familiarity 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 SDK • Understanding of AI system architectures and ability to align application pipelines to support them. • Ability to independently own defined scope end-to-end with consistent, high-quality output. • Experience working directly with business stakeholders to translate requirements into technical solutions. • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs. • Strong accountability and ownership mindset in achieving client outcomes. • 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. Preferred: • Experience and/or certification with Anthropic is 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). The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:
Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
Identifying, troubleshooting, and resolving technical issues within scope
Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
Contributing to solution design and aligning client needs with delivery feasibility
Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines

Nice-to-haves

Experience and/or certification with Anthropic is 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).

Application prep

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Keywords to mirror

aijavascripttypescriptreactangularnext.jsnode.jspythonjavarestawsazuregcpdockerci/cdllmapikubernetesml

Platform: avature
Effort: medium