1 day ago
India (city not specified)Senior
Responsibilities
- Deploy and operationalize AI security solutions in customer and enterprise environments.
- Translate business, operational, and AI security requirements into deployable architectures and implementation plans.
- Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tooling.
- Build cloud-native ingestion, normalization, and enrichment pipelines for AI telemetry, model activity logs, and prompt/response data.
- Integrate APIs, webhooks, message queues, and automation workflows across AI, identity, cloud, and application ecosystems.
- Implement AI security controls including prompt injection defense, model access controls, data leakage prevention, and agentic workflow monitoring.
- Secure non-human identities such as service accounts, API keys, tokens, and autonomous agent credentials.
- Support AI red teaming, adversarial testing, model risk scoring, anomaly detection, monitoring, investigation, and response workflows.
- Support technical proposals, statements of work, solution architectures, customer onboarding, implementation, rollout, and optimization.
- Troubleshoot deployment and integration issues while improving solution reliability, observability, performance, scale, documentation, and maintainability.
- Mentor engineers and consultants and provide field feedback for platform roadmaps, product direction, and architectural standards.
Requirements
- 7+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with progression to a principal or senior consulting level.
- Hands-on experience securing AI systems, LLM applications, or AI production pipelines.
- Experience deploying cloud-native architectures on AWS, Azure, GCP, or another major cloud provider.
- Strong experience with data integration, telemetry pipelines, normalization, and security analytics workflows applied to AI systems.
- Experience working directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-focused environments.
- Experience developing technical proposals, statements of work, and engagement scoping documents.
- Strong understanding of AI security risks including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, along with cloud, identity, and endpoint security foundations.
- Experience with scripting and automation using Python, PowerShell, or Bash.
- Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows.
- Working knowledge of LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents.
- Bachelor’s degree in computer science, information security, engineering, or equivalent practical experience.
- Preferred experience with OpenAI models, specifically Daybreak Blue and/or Red, and Anthropic models.
- Preferred experience with AI red teaming, adversarial AI testing, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, or MITRE ATLAS.
- Experience in regulated or compliance-sensitive environments, infrastructure as code, CI/CD workflows, AI production delivery, reusable implementation frameworks, or field engineering playbooks is preferred.
- Relevant cloud, security, or AI certifications are a plus.
Benefits
- Comprehensive health insurance coverage with options to extend coverage to dependents in India.
- Paid time off, company holidays, and additional leave benefits according to policy.
- Flexible work arrangements supporting work-life balance.
- Learning and development opportunities, including sponsored certifications and credentials.
- Employee wellness initiatives focused on physical and mental well-being.
- Retirement and statutory benefits in line with India regulations.
- Inclusive, collaborative, people-first culture with opportunities for cross-department training and development.
Tech Stack
Categories
Solutions Engineering
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.