MABASA / INDEED
Technical Architect
HCLTech
- Location
- Phoenix, AZ, US
- Work type
- nan
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
Technical Architect Phoenix, Arizona **Job Summary** --------------- Must\-Have Skills * **Experience:** 7\+ years in enterprise architecture or security design, including experience with AI\-related systems. * **Security architecture:** Strong enterprise security architecture expertise across application, cloud, data, and API security domains. * **Architecture review:** Proven ability to review solution and domain architectures, Architecture Decision Records (ADRs), and Security Architecture Review Board (SARB) submissions. * **Architecture authorship:** Ability to author and maintain ADRs, security patterns, and reference architectures that clearly document the problem, options, controls, trade\-offs, decisions, and consequences. * **GenAI and agentic security:** Deep understanding of GenAI architectures, LLM lifecycles, agentic systems, multi\-agent frameworks, and model governance. * **AI security controls:** Practical knowledge of model access controls, data boundaries, data leakage prevention, prompt\-injection defenses, prompt integrity, provenance, agent guardrails, secure orchestration, isolation, and human oversight. * **Threat modelling:** Ability to lead threat modelling for composite solutions in which GenAI interacts with APIs, data stores, applications, and user environments. * **Enterprise AI implementation:** Demonstrable experience securing enterprise GenAI solutions or autonomous agents, including copilots, retrieval\-augmented generation systems, LLM pipelines, and model\-hosting platforms. * **Governance and risk:** Ability to evaluate designs against enterprise standards, regulatory expectations, responsible\-AI principles, and organizational risk tolerance. * **Architecture frameworks:** Working knowledge of SABSA, TOGAF, and NIST Cybersecurity Framework principles. * **Technical writing and communication:** Strong analytical writing, stakeholder communication, and the ability to produce clear, traceable, actionable security recommendations. * **Leadership:** Ability to advise delivery teams, mentor peers, promote accountable human\-AI collaboration, and verify AI\-generated output. * **Education:** Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field. **Key Responsibilities** ------------------------ Must\-Have Skills * **Experience:** 7\+ years in enterprise architecture or security design, including experience with AI\-related systems. * **Security architecture:** Strong enterprise security architecture expertise across application, cloud, data, and API security domains. * **Architecture review:** Proven ability to review solution and domain architectures, Architecture Decision Records (ADRs), and Security Architecture Review Board (SARB) submissions. * **Architecture authorship:** Ability to author and maintain ADRs, security patterns, and reference architectures that clearly document the problem, options, controls, trade\-offs, decisions, and consequences. * **GenAI and agentic security:** Deep understanding of GenAI architectures, LLM lifecycles, agentic systems, multi\-agent frameworks, and model governance. * **AI security controls:** Practical knowledge of model access controls, data boundaries, data leakage prevention, prompt\-injection defenses, prompt integrity, provenance, agent guardrails, secure orchestration, isolation, and human oversight. * **Threat modelling:** Ability to lead threat modelling for composite solutions in which GenAI interacts with APIs, data stores, applications, and user environments. * **Enterprise AI implementation:** Demonstrable experience securing enterprise GenAI solutions or autonomous agents, including copilots, retrieval\-augmented generation systems, LLM pipelines, and model\-hosting platforms. * **Governance and risk:** Ability to evaluate designs against enterprise standards, regulatory expectations, responsible\-AI principles, and organizational risk tolerance. * **Architecture frameworks:** Working knowledge of SABSA, TOGAF, and NIST Cybersecurity Framework principles. * **Technical writing and communication:** Strong analytical writing, stakeholder communication, and the ability to produce clear, traceable, actionable security recommendations. * **Leadership:** Ability to advise delivery teams, mentor peers, promote accountable human\-AI collaboration, and verify AI\-generated output. * **Education:** Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field. **Skill Requirements** ---------------------- Security Architect – Must\-Have and Nice\-to\-Have Skills Must\-Have Skills * **Experience:** 7\+ years in enterprise architecture or security design, including experience with AI\-related systems. * **Security architecture:** Strong enterprise security architecture expertise across application, cloud, data, and API security domains. * **Architecture review:** Proven ability to review solution and domain architectures, Architecture Decision Records (ADRs), and Security Architecture Review Board (SARB) submissions. * **Architecture authorship:** Ability to author and maintain ADRs, security patterns, and reference architectures that clearly document the problem, options, controls, trade\-offs, decisions, and consequences. * **GenAI and agentic security:** Deep understanding of GenAI architectures, LLM lifecycles, agentic systems, multi\-agent frameworks, and model governance. * **AI security controls:** Practical knowledge of model access controls, data boundaries, data leakage prevention, prompt\-injection defenses, prompt integrity, provenance, agent guardrails, secure orchestration, isolation, and human oversight. * **Threat modelling:** Ability to lead threat modelling for composite solutions in which GenAI interacts with APIs, data stores, applications, and user environments. * **Enterprise AI implementation:** Demonstrable experience securing enterprise GenAI solutions or autonomous agents, including copilots, retrieval\-augmented generation systems, LLM pipelines, and model\-hosting platforms. * **Governance and risk:** Ability to evaluate designs against enterprise standards, regulatory expectations, responsible\-AI principles, and organizational risk tolerance. * **Architecture frameworks:** Working knowledge of SABSA, TOGAF, and NIST Cybersecurity Framework principles. * **Technical writing and communication:** Strong analytical writing, stakeholder communication, and the ability to produce clear, traceable, actionable security recommendations. * **Leadership:** Ability to advise delivery teams, mentor peers, promote accountable human\-AI collaboration, and verify AI\-generated output. * **Education:** Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field. Nice\-to\-Have Skills * **Cloud AI platforms:** Hands\-on familiarity with platforms such as Vertex AI and Azure OpenAI. * **GenAI development and guardrail tools:** Experience with LangChain, OpenAI GPT, Guardrails AI, or comparable orchestration and control frameworks. * **AI\-assisted architecture workflows:** Experience using GenAI for document review, security\-design assistance, ADR quality assurance, reusable prompt development, review heuristics, and decision frameworks. * **Architecture tooling:** Familiarity with architectural diagramming, review automation, and GenAI\-assisted design tools. * **Responsible\-AI policy:** Experience contributing to enterprise policy for responsible AI use and GenAI\-assisted software development. * **Certifications:** CISSP, CCSP, SABSA, TOGAF, or relevant AI credentials such as NIST AI RMF, MIT AI Ethics, or Azure AI Engineer. * **Thought leadership:** Evidence of driving secure\-by\-design adoption, improving architecture\-review throughput, reducing residual risk, or establishing reusable GenAI security practices. **Other Requirements** ---------------------- AI; API; AWS; Azure; Cryptography; DB Architecture \& Design; GCP; Git (GitHub, GitLab, BitBucket, SVN); Machine Learning; Palo Alto; Postgres / Postgresql; Postman; Python Maximum Salary (US): 180000 Minimum Salary (US): 122000
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