Secure AI Innovation Engineer (regular/senior) (She/He/They)

The Secure AI Innovation Engineer is a hybrid security role combining Application Security, Cloud Security, and AI Security, with a strong focus on innovation, automation, and security maturity uplift. This role supports clients in evolving their cybersecurity capabilities, designing and implementing modern, secure, and scalable solutions, and enabling safe adoption of AI and Agentic AI technologies. The engineer acts as a trusted security advisor, helping organizations securely modernize their environments, processes, and teams. The role does require deep values broad technical foundations, curiosity, ownership, and growth mindset, with the ability to connect security, cloud, applications, and AI into cohesive, end‑to‑end solutions. THE WORK: Support clients in increasing their cybersecurity maturity by assessing current security posture, identifying gaps, and defining pragmatic improvement roadmaps across applications, cloud platforms, and development processes. Act as a trusted security advisor , proposing modern and innovative security solutions that improve security posture, enable automation, increase operational efficiency, and enhance the effectiveness and quality of security teams. Design and implement end‑to‑end security controls covering applications, cloud infrastructure, development pipelines, and operational environments. Enable secure adoption of AI technologies , including LLM‑based solutions and Agentic AI , by designing and securing client environments to support safe and responsible AI usage. Define and implement security guardrails for AI environments , including: i dentify, assess, and mitigate AI‑specific security risks , such as prompt injection, data leakage, data poisoning, model abuse, insecure integrations, and misuse of autonomous AI agents. Collaborate with development, architecture, and platform teams to embed security into SDLC and SSDLC , following security‑by‑design and shift‑left principles. Support and improve secure development environments , including CI/CD pipelines, Infrastructure‑as‑Code, APIs, and cloud‑native platforms. Perform or support application and system security assessments , aligned with industry standards such as OWASP Top 10, OWASP ASVS, and OWASP API Top 10. Conduct or facilitate threat modeling for end‑to‑end solutions, including cloud‑native, hybrid, distributed, and AI‑enabled architectures. Design and support secure cloud and hybrid architectures across Azure, AWS, or GCP, covering identity, network security, data protection, and platform security. Support containerized and cloud‑native environments (e.g. Kubernetes‑based platforms) by ensuring secure configuration, posture management, and workload protection. Leverage automation and AI‑powered security tools to improve vulnerability detection, code and configuration analysis, threat detection, and security operations efficiency. Translate complex security risks into clear, actionable recommendations for technical and non‑technical stakeholders. Support clients in building long‑term security capabilities , enabling secure digital transformation and responsible use of AI technologies. Secure cloud foundations, data flows and pipelines, AI model integration and inference APIs, Identity and Access Management. Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances.   With all our roles, there is some in-person time for collaboration,   learning and building relationships with clients, peers, leaders,   and communities. As an employer, we will be as flexible as   possible to support your specific work/life needs.   WHAT’S IN IT FOR YOU:   Work on international projects, collaborating with top global organizations to solve complex security challenges.   Lead and drive innovation, helping clients transform their businesses with   cutting-edge   security technologies and frameworks.   Grow your   expertise   in a dynamic environment, gaining exposure to the latest trends, tools, and best practices.   HERE’S WHAT YOU’LL NEED: Strong interest in cybersecurity, innovation, and modern technologies , with a clear willingness to learn, grow, and take ownership of security topics. Background in IT, software development, cloud engineering, or security , with foundational knowledge across applications and infrastructure. Understanding of end‑to‑end system architectures , including monolithic, microservices, event‑driven, and cloud‑native designs. Foundational knowledge of Application Security , including: OWASP Top 10 / OWASP ASVS, s ecure coding principles and c ommon attack techniques (e.g. XSS, SQLi, CSRF). Basic to intermediate understanding of Cloud Security concepts , including: cloud shared responsibility model, Identity and Access Management, n etwork and data security in cloud environments. Familiarity with SSDLC principles , including security requirements, secure design, testing, and vulnerability management. Interest in AI, LLMs, and Agentic AI , with awareness of associated security challenges. Ability to communicate clearly with both technical and non‑technical stakeholders . Ownership mindset, curiosity, and ability to work independently while collaborating with teams. Basic experience or knowledge of: one major cloud platform (Azure, AWS, or GCP), CI/CD pipelines and DevSecOps concepts, REST APIs and API security fundamentals. Scripting or programming skills in at least one language (e.g. Python, Java, JavaScript, C#, Go ). R esearch   indicates   that some candidates, especially the most   diverse ones, may hesitate to apply for positions if they   don't   meet all requirements. If you believe you   possess   the necessary   skills, even if not meeting every requirement, we wholeheartedly   encourage you to   submit   your application. BONUS POINTS IF YOU HAVE: