Investigator/AI Developer

Investigator/AI Developer You Are: You're a builder and an investigator. You bring digital forensics expertise to complex incidents and the technical instincts to turn hard-won investigation experience into scalable, AI-powered tools that make the next engagement sharper. You're as comfortable leading a memory forensics workstream as you are in a Python notebook designing a pipeline that automates it. You think in structures — how to capture the right artifacts, surface the right signals, and produce outputs that drive defensible decisions for clients and teams alike. You bring expert presence to client calls, can translate attacker TTPs for a CISO and a general counsel in the same breath, and stay composed when the path forward isn't defined. You pick up new domains, tools, and environments quickly — and you apply that same curiosity to both your investigations and your development work. The Work: Investigations & Forensic Analysis - Conduct complex forensic investigations including advanced memory forensics, malware triage, encrypted artifact recovery, and anti-forensics detection - Perform host and network digital forensics, log analysis, and threat hunting in support of incident response engagements - Leverage EDR solutions, cloud platforms (AWS, Azure, GCP), and threat intelligence to identify and document attacker TTPs - Participate in incident response across cloud, OT, and traditional enterprise environments - Develop indicators of compromise and contribute to comprehensive, defensible attack timelines Tool & AI Development - Design and build proprietary investigation tools, automation scripts, and data products that accelerate forensic workflows and improve team consistency - Translate repeatable investigation processes into functional prototypes using AI-assisted development, low-code platforms, and data visualization tools (Power BI, Azure Data Services, Python, or similar) - Apply generative AI and AI coding assistants as core development accelerators - not occasionally, but fluently - to reduce manual effort across triage, analysis, and reporting - Govern the tools you build: documentation, version control, onboarding guides, and iteration based on real-world engagement feedback - Collaborate with senior practitioners to identify where new tooling improves speed, quality, or scalability across service offerings Client Engagement - Interface with client stakeholders and legal counsel throughout the engagement lifecycle, both technically and strategically - Author comprehensive, defensible written reports on investigative findings - Present technical findings and tool outputs on client calls - Support leadership in scoping engagements with methodical, innovative approaches Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s What You Need: - Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) - Minimum of 3 years’ experience in: - DFIR with demonstrated expertise in complex investigations - Cybersecurity consulting and data-oriented development or analysis - Building tools that others use in professional practice - Minimum of 3 years demonstrated experience in: - At least one data or development layer: Python, PowerShell, Power BI, Power Apps/Automate, SQL, or comparable stack - Common DFIR toolsets (Volatility, X-Ways, FTK, EnCase, Autopsy, etc.) - Microsoft Windows, GNU/Linux, and MacOS operating systems - Memory forensics - Enterprise environments, Active Directory, and common attack patterns - Threat hunting on both endpoints and networks - Industry recognized incident response lifecycles and frameworks (e.g., SANS, NIST, MITRE, etc.) - Producing accurate, defensible, well-documented analysis - Minimum of 1 year demonstrated experience in: - Using AI coding assistants and generative tools as a fluent part of your everyday development workflow - Azure and cloud-native architectures; comfort using AI as a development accelerator Bonus Points If: - Experience with cloud forensics across AWS, Azure, and GCP; OT/ICS environments a plus - Malware analysis capabilities: unpacking, deobfuscation, behavior analysis, reverse engineering - Experience with AI governance, responsible use frameworks, or tool validation in a security or consulting context Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/15/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: Role Location Annual Salary Range California $70,350 to $205,800 Colorado $63,800 to $177,800 Connecticut $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Ohio $59,100 to $164,600 Virginia $59,100 to $189,300 Washington $80,200 to $189,300