Note: The job is a remote job and is open to candidates in USA. Envestnet is an adaptive WealthTech company redefining wealth management through technology, actionable insights, and industry-leading support. The Lead Information Security Engineer will strengthen the organization’s security posture by engineering and validating security controls across cloud, on-premise, and AI environments, while leading security projects, risk analysis, monitoring, incident response, and adversarial testing.
Responsibilities
- Provides Information Security Engineering support for broad areas of the company
- Develops and executes security controls and reports, defenses and countermeasures to detect, analyze, investigate and respond to internal or external attacks and infiltration attempts
- Leads or provides direction for Information Security Engineering projects
- Provides complex analysis of potential risks to information systems security and recommends innovative solutions
- Recommends and implements changes to procedures and systems to enhance information systems security
- Integrates network security controls into an environment to identify risks and reduce their impact
- Provides guidance and advice to less experienced team members
- Secure AI platforms, agents, MCP integrations, plugins, toolchains, and agent-to-agent workflows through architecture reviews, risk assessments, and control validation
- Implement and enhance AI security controls, including data protection, model governance, source code safeguards, and AI-specific risk mitigation capabilities
- Develop and maintain AI security monitoring, detection, investigation, and incident response capabilities to identify and respond to threats across AI environments
- Conduct and participate in adversarial testing, threat assessments, and red/purple team exercises involving AI systems, while evaluating emerging AI technologies, attack techniques, and security risks to enable secure adoption
Skills
- * Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences
- * Progressive experience in security engineering, security architecture, cloud security, application security, or identity/security platform engineering in enterprise cybersecurity roles
- * Hands-on experience securing AI/ML systems, AI-enabled applications, and agentic ecosystems — including AI governance, agent frameworks, RAG architectures, and LLM integrations — with experience leading the security architecture, implementation, and assessment of AI platforms such as AWS Bedrock, Claude, Microsoft Copilot, GitHub Copilot, Kiro, and MCP integrations. Broad familiarity with the evolving agentic landscape, including plugins, skills, routines, desktop integrations, agent marketplaces, tool-invocation frameworks, and orchestration platforms
- * Demonstrated experience securing and assessing authentication, authorization, and trust models across complex enterprise and AI environments, including delegated access, workload identities, service principals/accounts, API keys, OAuth/OIDC flows, token delegation, agent impersonation, consent models, permissions, delegated workflows, data access controls, autonomous actions, and cross-system trust relationships
- * AI-specific threat knowledge — experience identifying and mitigating AI-specific attack vectors: prompt injection, jailbreaking, model/data exfiltration, data poisoning, and insecure output handling in LLM-integrated systems
- * Securing AI-assisted development and product-line AI implementation — experience assessing risks AI tools and AI-driven features introduce across the software lifecycle, from code generation to production deployment
- * Strong analytical, troubleshooting, and problem-solving skills, with the ability to assess complex security risks and communicate recommendations to technical and business stakeholders
- *This position is not open to candidates requiring visa sponsorship*
- * Experience developing automation to validate security controls, detect configuration drift, and improve visibility into AI usage, security posture, and risk
- * Familiarity with cloud-native security controls, detection engineering, incident response, and security operations within AI-enabled environments
- * Experience with AI red-teaming or adversarial testing of LLM- and agent-based systems
- * Experience assessing third-party AI vendors or SaaS tools for data handling and security risk
- * Bachelor's degree in computer science, Information Security, Engineering, or a related field, or equivalent combination of education and relevant experience
- * Relevant security certifications (e.g., CISSP, CCSP, CSSLP, GIAC) and/or AI/ML, application security, cloud, or identity-focused certifications demonstrating hands-on experience securing modern AI-enabled systems
Benefits
- Hybrid work model
- Additional incentive component as part of the total rewards package
- Medical insurance
- Paid time off (PTO)
- 401k company match
- Paid parental leave
- Education reimbursement
- Disability coverage
- Mental health & wellness support
Company Overview