4 days ago
Columbus, OH, USA +2 moreStaff+
Base Salary
$128k - $204k/yr
Responsibilities
- Design, build, and ship AI-powered cybersecurity capabilities for threat detection, anomaly identification, identity and access risk analysis, security operations automation, incident response orchestration, and cyber threat intelligence.
- Architect multi-agent and agentic AI frameworks using LLMs, RAG, embeddings, vector search, and knowledge retrieval systems.
- Build scalable cloud-native AI security platforms on Google Cloud using Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, and GKE.
- Integrate AI capabilities with IAM, PAM, secrets management, SIEM, SOAR, GRC, and security telemetry platforms.
- Set engineering standards for model training pipelines, automated deployment, monitoring, evaluation, drift detection, Infrastructure as Code, and CI/CD for machine learning workloads.
- Apply security, privacy, compliance, responsible AI, Zero Trust, and Secure-by-Design practices, including defenses against prompt injection, adversarial machine learning, data poisoning, model manipulation, and unauthorized access.
- Partner with technical and business stakeholders to shape architecture, technical direction, and enterprise adoption of AI engineering practices.
- Mentor engineers or lead cross-functional technical initiatives at scale.
Requirements
- 10+ years of software engineering experience building enterprise-scale applications and platforms with Python and modern software development practices.
- 10+ years of experience designing and operating cloud-native solutions on Google Cloud Platform or a comparable major cloud provider.
- Hands-on experience building or integrating generative AI and agentic AI systems, including LLMs, RAG pipelines, embeddings, vector databases, and orchestration frameworks.
- Strong understanding of cybersecurity domains including threat detection, identity and access management, SIEM/SOAR, and security operations.
- Experience with Kubernetes, Docker, CI/CD, and MLOps practices.
- Ability to influence technical direction and enterprise adoption across cross-functional technical and business stakeholders.
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent professional/military experience.
- Financial services or highly regulated industry experience is preferred.
- Familiarity with CrowdStrike, Splunk, or comparable SIEM/SOAR and GRC tooling is preferred.
- Experience applying Zero Trust and Secure-by-Design principles to AI/ML platform architecture is preferred.
- Google Cloud Professional certifications, CISSP, or AI/ML-specific credentials are preferred.
- Experience mentoring engineers or leading cross-functional technical initiatives at scale is preferred.
Benefits
- On-site work Monday through Friday at the Alpharetta, Georgia cybersecurity tech hub or the Columbus, Ohio or Berkeley Heights, New Jersey offices.
- Approximately 10% travel is expected.
- Eligible associates may receive an annual incentive opportunity delivered as cash bonus and/or equity awards.
- Salary ranges may differ by state; the stated range applies to employees in New Jersey and New York.
Tech Stack
Categories
About Fiserv
Fiserv builds payments and financial technology for banks, credit unions, merchants, and billers, including merchant acquiring, card issuing, core banking, and digital banking platforms. It earns revenue through transaction processing, software licensing, and managed services across POS (Clover), bill pay, ACH and card networks, and risk/compliance. The public company is headquartered in Milwaukee, trades on NASDAQ/BMV, acquired First Data in 2019, and serves clients in more than 100 countries.