1 day ago
India (city not specified)Staff+
Responsibilities
- Lead customer and enterprise deployments, onboarding, implementation, rollout, and optimization of AI security solutions.
- Develop technical proposals, statements of work, solution architectures, scoping documents, and implementation plans for customer engagements.
- Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tooling.
- Build cloud-native ingestion, normalization, enrichment, telemetry, monitoring, investigation, and response workflows for AI systems.
- Operationalize AI security controls including prompt-injection defense, model access controls, data leakage prevention, agent monitoring, and non-human identity protection.
- Support AI red teaming, adversarial testing, model risk scoring, anomaly detection, resiliency, observability, performance, and scale.
- Troubleshoot production and integration issues, improve reliability and maintainability, and develop reusable deployment patterns and implementation assets.
- Advise technical and executive stakeholders, mentor engineers and consultants, influence product and platform roadmaps, and support pre-sales activities.
Requirements
- 10+ 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 at least one major cloud provider such as AWS, Azure, or GCP.
- Strong experience with data integration, telemetry pipelines, normalization, security analytics, customer delivery, and cross-functional implementation environments.
- Proven ability to develop technical proposals, statements of work, and scoping documents and to lead technical engagements without direct authority.
- Understanding of AI security risks including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, as well as cloud, identity, and endpoint security.
- Experience with Python, PowerShell, or Bash; APIs, REST, webhooks, and event-driven workflows; and AI concepts including LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents.
- Preferred qualifications include experience with OpenAI Daybreak Blue or Red models, Anthropic models, AI red teaming, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, regulated environments, infrastructure as code, CI/CD, reusable implementation frameworks, and relevant cloud, security, or AI certifications.
Benefits
- Comprehensive India health insurance with options to extend coverage to dependents.
- Paid time off, company holidays, and additional leave benefits according to policy.
- Flexible work arrangements.
- Learning, development, certification, and upskilling opportunities.
- Employee wellness programs supporting physical and mental well-being.
- Retirement and statutory benefits in line with India regulations.
- Inclusive, collaborative, people-first culture with a focus on ownership.
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.