Model Risk Management

Model Risk Management Engineer Jobs

4 jobs found

Today

Turbomachinery Component Design Engineer – Research and Technology

Rolls-Royce Indianapolis, IN

Indianapolis, IN

Today

$79k - $128k/yr Full time Aircraft Components Automation Design

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Job Description

The Turbomachinery Component Design Engineer – Research and Technology role focuses on turbomachinery component design in Indianapolis, offering hybrid work arrangements. The position emphasizes delivering on time design definitions and artifacts while integrating sub-system requirements, supported by a strong engineering foundation and cross-functional collaboration.

Responsibilities

Develop design solutions for components, assemblies, and full engines, balancing safety, manufacturability, physical robustness, and functional performance, while addressing unit cost, lifecycle cost, weight, maintainability, and repair considerations.
Define stakeholder requirements across manufacturing, project customers, airframers and partners, and analysis teams, aligning with policies through both conventional and future-state approaches, including Model Based Definition within the Model Based Environment.
Create and employ automated and integrated tool sets; when repeat designs are anticipated, establish automated workflows that adhere to house style, standard features, and standard assessments to define optimal designs as part of automated MBD, manufacturing, and measurement definitions.
Apply Robust Design, Systems Engineering, xFMEA risk management, and Design in Context to achieve right first time outcomes.
Maintain Quality Assurance by verifying design documents, models, and drawings in accordance with RRMS technical requirements and pursuing proactive zero defects objectives.
Perform analyses using formula-based calculations and automated workflows for dimensionaling parts and components (stability, stiffness, profiles, balance point, weights) and, when appropriate, apply analytical rules and tools to validate the design against requirements.
Produce technical documents in compliance with process, knowledge management, information, and data policies.
Manage product configuration and ensure data integrity.
Lead sub-system integration utilizing Systems Engineering and Robust Design tools to ensure sub-system design attributes meet the agreed requirements.

Requirements

Bachelor’s degree in Engineering with 1+ years of related hands-on experience
Master’s degree in Engineering
JD or PhD in Engineering
United States citizen

Technologies

Model Based Definition (MBD)
Model Based Environment
xFMEA

Benefits

Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
Accidental death and dismemberment insurance
Flexible spending account (FSA)
Health Savings Account (HSA)
401(k) retirement savings plan with company match
Employee Assistance Program
Paid Time Off
Paid holidays
Paid parental leave
Family care leave
Tuition reimbursement
Long-term incentive plan

Job Category

Mechanical Systems

Job Posting Date

Posted on 24 Jul 2026 at 00:07

Location

Indianapolis, IN, hybrid

Salary

Compensation range: USD 78,918 - 128,242 per year

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19d ago

Cybersecurity Forward Deployed Engineer - FDE - Manager

Accenture Culver City, CA

Culver City, CA

19d ago

$87k - $305k/yr Full time Manager Agent Ai Enabled Security

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Job Description

This role places a production cybersecurity engineer inside a client enterprise to secure AI systems, govern them, and ensure resilience.

Responsibilities

Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment through hardened deployment.
Provide hands-on security engineering using agentic coding tools as the primary build environment to create AI powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery.
Manage AI specific threat surfaces at programme scale, covering OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
Architect and govern AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and cross-system risk across AWS, Azure, or GCP.
Lead AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems.
Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and grow the Secure AI practice.
Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

Minimum of 8 years of engineering experience in production environments with depth in at least one cybersecurity domain such as application security, SecOps and detection engineering, cloud security, IAM, offensive security or penetration testing, or governance, risk and compliance.
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
Minimum 6 years of end-to-end security delivery ownership in a client-embedded or production setting; internal advisory or compliance-only roles do not qualify.
Minimum 6 years working with cloud security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
Bachelor's degree or equivalent work experience (minimum 12 years); if holding an Associate’s Degree, must have at least 6 years of work experience.
Proven ability to translate security risk into business terms, providing risk-adjusted investment rationale suitable for a CISO or CFO.
People leadership experience: managing, developing, and performance-managing a team of engineers, setting development plans, and conducting career conversations.

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Benefits

Medical
Dental
Vision
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Requesting an Accommodation

Accenture provides equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed.
If accommodation is required to perform essential functions, you will participate in the reasonable accommodation process.
Accommodations made for recruiting do not guarantee future accommodations once hired.
If you need accommodation during the hiring process or have other accommodations needs, contact the recruitment team by toll-free telephone or email.

Equal Employment Opportunity Statement

Accenture does not discriminate on any protected basis and bases employment decisions on merit, without regard to age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity, or other protected characteristics.
For more details, view the Accenture Equal Opportunity Statement.
Accenture is an EEO and Affirmative Action employer for Veterans and Individuals with Disabilities.
Accenture supports veteran employment opportunities for service members and veterans.

Other Employment Statements

Applicants in the US must have work authorization not requiring sponsorship now or in the future.
Candidates currently employed by a client or affiliated Accenture business may not be eligible for consideration.
Criminal conviction history is not an absolute bar to employment; disclosures may be considered in context.
Accenture adheres to policies on pay transparency and does not retaliate against employees who discuss compensation.
California residents may have additional notices applicable to employment and employment-related information.
Review Accenture’s Recruiting and Hiring Statement for data processing details during the recruiting process.

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23d ago

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture Miami, FL

Miami, FL

23d ago

$123k - $366k/yr Full time Manager Ai Act Ai Governance

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Job Description

Accenture is seeking a senior cybersecurity leader to anchor the security dimension of agentic AI deployments from the Miami, Florida on-site location. The role blends hands-on security engineering with strategic governance, leading AI security architecture, threat modeling, and governance for live AI initiatives across complex client ecosystems. It calls for hands-on delivery using advanced AI coding tools to shield production environments while shaping secure AI programs for a broad set of clients.

Responsibilities

Oversee AI security architecture and threat modeling for live agentic deployments across multi-stakeholder client environments, including large language models, multi-agent pipelines, retrieval-augmented generation systems, and MLOps stacks, guiding security design from assessment to hardened deployment.
Provide practical security engineering in an agentic coding environment to build AI-powered detection, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily work.
Manage AI-specific threat surfaces at program scale, implementing OWASP LLM Top 10 controls, hardening prompts, preventing model extraction, defending against adversarial inputs, and securing AI supply chains across concurrent client workstreams.
Architect and govern security controls across the enterprise AI stack, covering identity and access for AI systems, data pipeline security, model serving security, and integration risk across cloud platforms such as AWS, Azure, or GCP.
Drive the implementation of AI governance frameworks aligned with regulatory guidance (EU AI Act, NIST AI RMF) and model risk management applied to live production systems.
Shape security strategy for client CISOs and CTOs, building risk-adjusted investment cases, roadmaps for security architecture, and AI governance operating models tied to business outcomes.
Create reusable security patterns, playbooks, and accelerators to scale across client engagements and grow the Secure AI practice.
Lead architecture design sessions, threat modeling workshops, and collaborative coding sessions with client engineering and security leadership teams.
Demonstrate cybersecurity expertise in at least one discipline such as application security, SecOps, IAM, cloud security, GRC, or offensive security.
Contribute to proposals, statements of work, and client engagement activities, shaping solutions with commercial considerations in mind.
Facilitate executive workshops and communicate effectively with C-suite and CISO audiences.
Apply structured analytical thinking and hypothesis-driven problem decomposition to engagements.
Provide team leadership, mentoring managers and consultants through delivery milestones.

Requirements

Minimum of 10 years of engineering experience in production environments with deep cybersecurity expertise in at least one domain (such as applications security, SecOps/detection engineering, cloud security, IAM, offensive security, or GRC).
At least 2 years of hands-on experience designing and deploying agentic AI solutions in production environments; theoretical familiarity is not sufficient.
At least 8 years of end-to-end security delivery ownership in client-embedded or production contexts; internal advisory or compliance-only roles do not qualify.
Minimum 8 years of experience with cloud security fundamentals across at least one provider (AWS, Azure, or GCP), including IAM, network security, secrets management, and AI service security configurations.
Bachelor’s degree or equivalent work experience (minimum 12 years). If holding an Associate’s degree, a minimum of 6 years of related experience is required.

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

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24d ago

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture Arlington, VA

Arlington, VA

24d ago

$123k - $366k/yr Full time Manager Agent Ai Security

Apply Now

Job Description

Accenture is seeking a Senior Manager for Cybersecurity Forward Deployed Engineering to be embedded in client environments in Arlington, VA. The role focuses on securing production AI deployments and governing AI security across the enterprise, leading AI security architecture, threat modeling, and tooling development through agentic coding. Salary range is USD 122,700 to 366,300 per year, with onsite presence in Arlington, VA.

Responsibilities

Oversee AI security architecture and threat modeling for production agentic deployments in complex, multi-stakeholder client environments, covering LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure; accountable for end-to-end security design from assessment to hardened deployment
Execute hands-on security engineering using agentic coding tools as the primary build environment, building AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation with Claude Code, Cursor, or GitHub Copilot in daily delivery
Manage AI specific threat surfaces at program scale, including OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams
Architect and govern AI security controls across the enterprise stack, encompassing identity and access for AI systems, data pipeline security, model serving security, and cross-system integration risk across AWS, Azure, or GCP
Drive AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems
Shape AI security strategy for client CISOs and CTOs, developing risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned with business outcomes
Define and publish reusable security patterns, playbooks, and accelerators to scale across multiple client engagements and grow the Secure AI practice
Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership
Demonstrate cybersecurity domain expertise in at least one discipline such as AppSec, SecOps, IAM, cloud, GRC, or offensive security
Contribute to proposal and SOW development, solution shaping, and client commercial engagement
Facilitate executive workshops and communicate effectively with C-suite and CISO-level stakeholders
Apply structured analytical thinking and hypothesis-driven problem decomposition
Provide team leadership by developing and coaching managers and consultants through delivery

Requirements

Minimum of 10 years of engineering experience in production environments with deep expertise in at least one cybersecurity field such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC
At least two years of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity is not sufficient
Eight years of demonstrated end-to-end security delivery ownership in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify
Eight years of experience with cloud platform security fundamentals on at least one provider (AWS, Azure, or GCP), including IAM, network security, secrets management, and AI service security configurations
Bachelor's degree or equivalent work experience (minimum 12 years); if holding an Associate’s Degree, a minimum of 6 years of work experience is required
Proven ability to translate security risk into business terms and present risk-adjusted investment rationale to CISOs or CFOs
Experience in people leadership, including managing, developing, and performance-managing a team of engineers; ability to conduct development discussions

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Benefits

Medical
Dental
Vision
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

View full job page →

Model Risk Management Engineer Jobs

Turbomachinery Component Design Engineer – Research and Technology

Cybersecurity Forward Deployed Engineer - FDE - Manager

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

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