548 jobs for "Controls Engineer - Automation"

Staff Software Engineer/Data Scientist

At The Hartford - Hyderabad

Posted on Nov 6

View job Apply on company site

Software Engineering - Intelligent Platforms (Mid)

At Leidos - Remote / Flexible

Posted on Oct 23

View job Apply on company site

Senior Specialist, Lead Zero Trust Identity Security Engineering

At Vanguard - Malvern · Dallas/Ft. Worth

Posted on Oct 22

View job Apply on company site

Director, Mobility & Executive Concierge Solutions Engineering

At Vanguard - Wayne · Charlotte

Posted on Oct 22

View job Apply on company site

Machine Safety Engineering Specialist

At Eaton

Posted on Oct 21

View job Apply on company site

Machine Safety Engineering Specialist

At Eaton - Beachwood

Posted on Oct 18

View job Apply on company site

GE Vernova Investment Casting Manufacturing Internship Co-op

At GE Vernova - Schenectady

Posted on Oct 16

View job Apply on company site

Offensive Security- Red Team

At Salesforce - Tel Aviv

Posted on Oct 8

View job Apply on company site

Lead Software Engineer-Go / Kubernetes / AWS

At JPMorgan Chase - Jersey City

Posted on Oct 5

View job Apply on company site

College to Corporate IT Internship-Risk & Security-Engineer (NC)

At Vanguard - Charlotte

Posted on Oct 3

View job Apply on company site

Cloud Data Platform Administrator

At Charles Schwab - Austin

Posted on Oct 2

View job Apply on company site

Process Control Spring Co-Op

At Schneider Electric - Cleveland

Posted on Sep 22

View job Apply on company site

Python Full Stack Developer (Treasury Transformation) - Associate/ Senior Associate

At JPMorgan Chase - Warsaw

Posted on Aug 20

View job Apply on company site

Python Full Stack Developer (Treasury Transformation) - Senior Associate/ Vice President

At JPMorgan Chase - Warsaw

Posted on Aug 20

View job Apply on company site

Cyber Manager - Technology Resilience FDE

At Deloitte - Austin · Charlotte

Posted on Jul 28

View job Apply on company site

Specialist - Embedded Firmware

At Eaton - Hadapsar

Posted on May 28

View job Apply on company site

Oracle Database Administrator

At DTCC - Makati City

Posted on Nov 11

View job Apply on company site

Information Security Senior Engineer - Identity Governance

At Equinix, Inc - Remote / Flexible

Posted on Oct 22

View job Apply on company site

Senior Data Engineer

At Visa

Posted on Sep 30

View job Apply on company site

Engineer II, Software Assurance, Product Security (Remote)

At CrowdStrike - Remote / Flexible

Posted on Sep 9

View job Apply on company site

Deloitte

Cyber Manager - Technology Resilience FDE

Austin, TX · Charlotte, NC · Chicago, IL · Costa Mesa, CA · Dallas, TX · Detroit, MI · Fort Worth, TX · Grand Rapids, MI · Houston, TX · Indianapolis, IN · Jacksonville, FL · Jersey City, NJ · Los Angeles, CA · McLean, VA · Miami, FL · Morristown, NJ · New York, NY · Philadelphia, PA · Raleigh, NC · Sacramento, CA · San Antonio, TX · San Diego, CA · San Francisco, CA · Seattle, WA · Tallahassee, FL · Tampa, FL$155,600 – $306,800Posted Jul 28, 2026

Apply on company site View full job

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

• 6+ 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

Deloitte's 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 there's 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 Angeles's 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

Requisition code: 360754

Job ID 360754

About Deloitte

Deloitte is the largest professional services network in the world—providing audit, tax, consulting, enterprise risk, and financial advisory services.

Size: 10,000+ employees
Industry: Client Services

View company profile