{"id":1525852,"url":"https://alion.io/job/ekfrazo-technologies-security-engineer-iii-iv-ai-engineering","title":"Security Engineer III / IV - AI Engineering","company":{"id":3800102,"name":"Ekfrazo Technologies","domain":"ekfrazo.in","url":"https://alion.io/company/ekfrazo-technologies-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Security","role_family":"Security","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":34000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":629},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Cortex XSOAR","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"MITRE ATT&CK","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OWASP Top 10","optional":true},{"name":"SIEM","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true},{"name":"Tines","optional":true}],"status":"live","first_seen_at":"2026-09-30T12:28:23Z","employer_posted_date":null,"last_verified_at":"2026-09-30T12:28:23Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Job Description : \n\nAI Engineer | Global Enterprise Security | AI Engineering\n\nLevel : Security Engineer III / IV\n\nTeam Overview : \n\nGES AI Engineering is a small, high-leverage team that builds agentic AI and automation capability for Global Enterprise Security as a whole - not for a single program.\n\nThe team is chartered to build once, reuse everywhere : shared agent platforms, evaluation tooling, and automation patterns that any GES team can adopt.\n\nRole Overview : \n\nThe AI Engineer designs, builds, and operates agentic AI workflows and automation on behalf of Global Enterprise Security's teams - most often as an embedded partner rather than the workflow's eventual owner.\n\nWhat You'll Do : \n\n- Take an ambiguous, partner-team-described problem in any security domain and scope a narrow, testable first version of it.\n\n- Build agents and automation on the organization's shared model and orchestration platform(s) (for example AWS Bedrock or a comparable managed platform).\n\n- Build an evaluation harness for every assignment before calling it done.\n\n- Contribute to the shared agentic AI platform used across GES.\n\n- Apply secure design and secure coding practices to all automation and agent code.\n\n- Document every workflow, agent, and its known limitations well enough that the receiving team can operate and trust it.\n\nRequired Qualifications : \n\n- Six or more years in software, security, or platform engineering, including experience building and shipping automation or AI-assisted tooling into production.\n\n- Hands-on experience building agentic workflows on at least one managed model platform.\n\n- Four or more years in a cybersecurity specialization to build from.\n\n- Strong Python development skills, with proven experience building and consuming REST APIs.\n\n- Practical experience with at least one major cloud provider (AWS, Azure, or GCP).\n\n- Demonstrated experience building agent evaluation approaches.\n\nPreferred Qualifications : \n\n- Direct experience with a SOAR platform (Splunk SOAR, Torq, Tines, Swimlane, Cortex XSOAR, or equivalent).\n\n- Familiarity with AI risk frameworks including the OWASP Top 10 for LLM Applications, NIST AI RMF, and MITRE ATLAS.\n\n- Detection engineering background : MITRE ATT&CK mapping, detection-as-code, SIEM query languages and data models.\n\n- Experience with fleet/endpoint management and patch automation tooling, or with infrastructure as code (Terraform) and Kubernetes.\n\n- Certifications such as AWS Security Specialty, AWS Certified Machine Learning, GCIA, GCIH, GCDA, AZ-500, or SC-200.\n\nWorking Expectations : \n\n- Operates under formal change management for anything touching production, customer-facing, or partner-team environments.\n\n- Participates in a shared on-call rotation for platform availability and major incident support.\n\n- Assignments are set by GES leadership based on current priorities and may shift with limited notice.\n\n- Cross-covers teammates' assignments during surges, incidents, or absences.\n\nSkills\nPython, Cyber Security, AWS, Artificial Intelligence, Security Architect - 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