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Cyber Manager - Technology Resilience
Strategy, Growth, and Transformation | Enterprise Technology Strategy and Transformation
Same job available in 26 locations
Austin, Texas, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Detroit, Michigan, United States
Fort Worth, Texas, United States
Grand Rapids, Michigan, United States
Houston, Texas, United States
Indianapolis, Indiana, United States
Jacksonville, Florida, United States
Jersey City, New Jersey, United States
Los Angeles, California, United States
McLean, Virginia, United States
Miami, Florida, United States
Morristown, New Jersey, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Raleigh, North Carolina, United States
Sacramento, California, United States
San Antonio, Texas, United States
San Diego, California, United States
San Francisco, California, United States
Seattle, Washington, United States
Tallahassee, Florida, United States
Tampa, Florida, United States
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Position Summary
Technical Resilience FDE Manager
As a Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI capabilities using the client's own data, systems, and workflows. This role is administratively aligned to the Cyber Resilience practice, and the applied use cases you build will typically span disaster recovery orchestration, control and evidence collection, continuity and recovery planning, and third-party resilience monitoring but these are application areas your AI engineering work supports, not prerequisites requiring deep resilience or audit domain credentials. You will combine strong engineering depth with the judgment to translate ambiguous client problems into working AI systems, shape technical solutions during pursuits, and build reusable accelerators that raise the bar across engagements.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Manager on a client-embedded AI engineering team, you will be responsible for:
Designing and hands-on building AI-enabled solutions (agents, retrieval/RAG pipelines, automation workflows) directly inside a client's environment, using their live data and systems
Ensuring deployed AI systems meet production bars for evaluation, guardrails, observability, reliability, security, and cost/performance management
Building automated controls and response workflows that support disaster recovery orchestration and continuity and recovery operations
Building AI-enabled control and evidence collection capabilities automating inventory, monitoring, and evidence gathering to produce audit-ready evidence across cybersecurity, continuity, and third-party resilience programs
Translating client business needs including resilience use cases such as continuity planning and recovery orchestration into working, production-grade AI technical solutions aligned to target architecture
Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
Leading client-facing workshops, demonstrations, and training sessions to drive adoption of new AI capabilities, and supporting operational handoff so client teams can run and maintain what you build
Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
Contributing to and extending existing reusable accelerators, documentation, and engineering best practices to build team and client capability
Mentoring engineers and leading individual workstreams within the engagement
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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Resilience practice helps organizations anticipate, withstand, and recover from disruption spanning disaster recovery orchestration, business continuity and recovery planning, and third-party resilience, as well as the underlying architecture, inventory, monitoring, and control and evidence collection programs that demonstrate cybersecurity and continuity posture to regulators and stakeholders. The team is building AI-driven capabilities including automated controls, continuous monitoring, response workflows, and audit-ready evidence generation designed to help clients strengthen resilience posture, simplify complexity, and respond with greater speed and confidence when disruption occurs.
The FDE is embedded directly in a client's environment to build and ship AI capabilities using the client's own data, systems, and workflows, with resilience and recovery use cases (e.g., disaster recovery orchestration, control and evidence collection, response workflows, third-party resilience monitoring) as the applied domain for that AI engineering work.
Qualifications
Required:
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; alternatively, equivalent demonstrated experience
8-10+ years of hands-on software engineering experience building and deploying production-grade systems using one or more of the following Python, Java, or Node.js
5+ years of experience translating client or business requirements into target-state solution architectures using REST APIs, microservices, event-driven architectures, or serverless components
2+ years of experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
2+ years of hands-on experience designing, building, and deploying generative AI or large language model solutions (e.g., agents, RAG, tool-calling) in a client or production environment beyond proof-of-concept
Hands-on experience applying production AI engineering practices evaluation, guardrails, observability, reliability, security, and cost/performance management to deployed models and agentic systems
Ability to work directly and independently within a client's environment and codebase, including navigating unfamiliar systems and undocumented workflows
Ability to build automation that integrates with monitoring, ITSM, or GRC platforms to support control monitoring, evidence collection, and response workflows
Experience leading client enablement activities workshops, demonstrations, adoption planning, and operational handoff to help client teams adopt and sustain delivered solutions
Experience contributing to and extending reusable AI accelerators, tools, or frameworks that speed up delivery across engagements
Exposure to disaster recovery, business continuity, or third-party resilience concepts is a plus but not required domain onboarding will be provided
Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available
Preferred:
Front-end / full-stack breadth JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor, etc.)
Experience with agent orchestration or LLM application frameworks (e.g., LangChain, LlamaIndex, Model Context Protocol, Bedrock Agents, Azure AI Foundry, Vertex AI)
Experience with GRC, ITSM, or monitoring/observability platforms (e.g., ServiceNow, Archer, Splunk, Datadog) relevant to control monitoring and evidence automation
Familiarity with control frameworks or standards (NIST CSF, ISO 22301, SOC 2) sufficient to model them in code audit or assessor experience not required
Experience designing AI-enabled use cases within resilience or continuity workflows (e.g., disaster recovery orchestration, control and evidence automation, third-party resilience monitoring) is a plus, though not a prerequisite
Prior experience in a forward-deployed, embedded, or client-site engineering model (vs. offshore/remote delivery only)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR)
Kubernetes, GitOps, and advanced cloud-native delivery patterns
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation
Relevant certifications cloud (AWS/Azure/GCP) or AI/ML-specific certifications
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 $155,600 - 306,800.
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.
#CyberCDR27
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloittes purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeless Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte US (Deloitte). In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made. Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a job with Deloitte. These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte.
We would like to clarify that:
At Deloitte, ethics and integrity are fundamental and not negotiable.
We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
We have not authorized any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte.
We consider candidates on merit and that we provide an equal opportunity to eligible applicants.
No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.
Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for registration, verification or security deposit) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.
About Deloitte
Terms of use
Privacy
Data Privacy Framework
Do Not Sell or Share My Personal Information
Cookies
Legal information for job seekers and ADA
Labor condition applications
Assistance for people with disabilities
2026. See Terms of Use for more information.
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.
Strategy, Growth, and Transformation | Enterprise Technology Strategy and Transformation
Same job available in 26 locations
Austin, Texas, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Detroit, Michigan, United States
Fort Worth, Texas, United States
Grand Rapids, Michigan, United States
Houston, Texas, United States
Indianapolis, Indiana, United States
Jacksonville, Florida, United States
Jersey City, New Jersey, United States
Los Angeles, California, United States
McLean, Virginia, United States
Miami, Florida, United States
Morristown, New Jersey, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Raleigh, North Carolina, United States
Sacramento, California, United States
San Antonio, Texas, United States
San Diego, California, United States
San Francisco, California, United States
Seattle, Washington, United States
Tallahassee, Florida, United States
Tampa, Florida, United States
Back to search results
Apply now
Share this job: Share:
Share
Share Cyber Manager - Technology Resilience with Facebook Share Cyber Manager - Technology Resilience with LinkedIn Share Cyber Manager - Technology Resilience with Twitter
Caution against fraudulent job offers. Learn more.
Back to search results
Position Summary
Technical Resilience FDE Manager
As a Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI capabilities using the client's own data, systems, and workflows. This role is administratively aligned to the Cyber Resilience practice, and the applied use cases you build will typically span disaster recovery orchestration, control and evidence collection, continuity and recovery planning, and third-party resilience monitoring but these are application areas your AI engineering work supports, not prerequisites requiring deep resilience or audit domain credentials. You will combine strong engineering depth with the judgment to translate ambiguous client problems into working AI systems, shape technical solutions during pursuits, and build reusable accelerators that raise the bar across engagements.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Manager on a client-embedded AI engineering team, you will be responsible for:
Designing and hands-on building AI-enabled solutions (agents, retrieval/RAG pipelines, automation workflows) directly inside a client's environment, using their live data and systems
Ensuring deployed AI systems meet production bars for evaluation, guardrails, observability, reliability, security, and cost/performance management
Building automated controls and response workflows that support disaster recovery orchestration and continuity and recovery operations
Building AI-enabled control and evidence collection capabilities automating inventory, monitoring, and evidence gathering to produce audit-ready evidence across cybersecurity, continuity, and third-party resilience programs
Translating client business needs including resilience use cases such as continuity planning and recovery orchestration into working, production-grade AI technical solutions aligned to target architecture
Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
Leading client-facing workshops, demonstrations, and training sessions to drive adoption of new AI capabilities, and supporting operational handoff so client teams can run and maintain what you build
Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
Contributing to and extending existing reusable accelerators, documentation, and engineering best practices to build team and client capability
Mentoring engineers and leading individual workstreams within the engagement
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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Resilience practice helps organizations anticipate, withstand, and recover from disruption spanning disaster recovery orchestration, business continuity and recovery planning, and third-party resilience, as well as the underlying architecture, inventory, monitoring, and control and evidence collection programs that demonstrate cybersecurity and continuity posture to regulators and stakeholders. The team is building AI-driven capabilities including automated controls, continuous monitoring, response workflows, and audit-ready evidence generation designed to help clients strengthen resilience posture, simplify complexity, and respond with greater speed and confidence when disruption occurs.
The FDE is embedded directly in a client's environment to build and ship AI capabilities using the client's own data, systems, and workflows, with resilience and recovery use cases (e.g., disaster recovery orchestration, control and evidence collection, response workflows, third-party resilience monitoring) as the applied domain for that AI engineering work.
Qualifications
Required:
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; alternatively, equivalent demonstrated experience
8-10+ years of hands-on software engineering experience building and deploying production-grade systems using one or more of the following Python, Java, or Node.js
5+ years of experience translating client or business requirements into target-state solution architectures using REST APIs, microservices, event-driven architectures, or serverless components
2+ years of experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
2+ years of hands-on experience designing, building, and deploying generative AI or large language model solutions (e.g., agents, RAG, tool-calling) in a client or production environment beyond proof-of-concept
Hands-on experience applying production AI engineering practices evaluation, guardrails, observability, reliability, security, and cost/performance management to deployed models and agentic systems
Ability to work directly and independently within a client's environment and codebase, including navigating unfamiliar systems and undocumented workflows
Ability to build automation that integrates with monitoring, ITSM, or GRC platforms to support control monitoring, evidence collection, and response workflows
Experience leading client enablement activities workshops, demonstrations, adoption planning, and operational handoff to help client teams adopt and sustain delivered solutions
Experience contributing to and extending reusable AI accelerators, tools, or frameworks that speed up delivery across engagements
Exposure to disaster recovery, business continuity, or third-party resilience concepts is a plus but not required domain onboarding will be provided
Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available
Preferred:
Front-end / full-stack breadth JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor, etc.)
Experience with agent orchestration or LLM application frameworks (e.g., LangChain, LlamaIndex, Model Context Protocol, Bedrock Agents, Azure AI Foundry, Vertex AI)
Experience with GRC, ITSM, or monitoring/observability platforms (e.g., ServiceNow, Archer, Splunk, Datadog) relevant to control monitoring and evidence automation
Familiarity with control frameworks or standards (NIST CSF, ISO 22301, SOC 2) sufficient to model them in code audit or assessor experience not required
Experience designing AI-enabled use cases within resilience or continuity workflows (e.g., disaster recovery orchestration, control and evidence automation, third-party resilience monitoring) is a plus, though not a prerequisite
Prior experience in a forward-deployed, embedded, or client-site engineering model (vs. offshore/remote delivery only)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR)
Kubernetes, GitOps, and advanced cloud-native delivery patterns
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation
Relevant certifications cloud (AWS/Azure/GCP) or AI/ML-specific certifications
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 $155,600 - 306,800.
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.
#CyberCDR27
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloittes purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe theres always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeless Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte US (Deloitte). In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made. Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a job with Deloitte. These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte.
We would like to clarify that:
At Deloitte, ethics and integrity are fundamental and not negotiable.
We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
We have not authorized any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte.
We consider candidates on merit and that we provide an equal opportunity to eligible applicants.
No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.
Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for registration, verification or security deposit) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.
About Deloitte
Terms of use
Privacy
Data Privacy Framework
Do Not Sell or Share My Personal Information
Cookies
Legal information for job seekers and ADA
Labor condition applications
Assistance for people with disabilities
2026. See Terms of Use for more information.
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.
