Senior AI Engineer
Indexed description
Title: Senior AI Engineer
Location: Coimbatore (Onsite)
Experience: 4–5 Years
Company: Sennovate
About Sennovate
Sennovate is a US-based AI-first cybersecurity & cloud services company with operations in Coimbatore, India. We live by one standard: See it. Own it. Solve it. We are looking for Senior AI Engineer for Coimbatore Location to lead our AI initiatives in Cybersecurity and Cloud Infrastructure space.
About the Role
Lead the design and development of AI-powered internal products, accelerators, and turnkey frameworks for cybersecurity, cloud, and infrastructure domains. This role should combine hands-on architecture, secure AI design, stakeholder engagement, and people management, with direct relevance to Sennovate’s enterprise security, IAM, and SOC-oriented service landscape.
Key Responsibilities
- Own architecture and delivery of AI-enabled internal platforms, accelerators, and reusable solution patterns.
- Build advanced agentic and LLM-based systems using LangGraph, MCP-style integrations, RAG, tool orchestration, and OEM-agnostic model stacks.
- Define and drive use cases such as AI-powered SOC support, identity operations copilots, alert enrichment, cloud risk summarization, security knowledge systems, and compliance-support assistants aligned to Sennovate’s core security services.
- Establish secure AI practices including prompt safety, data protection, model governance, access controls, auditability, and mitigation of risks such as prompt injection and sensitive data leakage.
- Engage with customers and internal stakeholders to shape solution direction, present concepts, and guide roadmap and implementation priorities.
- Lead and mentor junior engineers, review design and code quality, and manage delivery outcomes.
Required Skills & Experience
- Strong experience delivering production-grade AI applications, not just experiments.
- Hands-on experience in application/software development.
- Solid architecture skills across LLM applications, agents, tool use, RAG, vector search, context handling, and integration-heavy enterprise systems.
- Good working knowledge of cybersecurity and cloud domains
- Ability to own secure AI design and drive engineering standards.
- Experience with team leadership and people management.
- Ability to work with customers in discovery, solution shaping, and technical discussions.
Nice to have
- Background in MSSP, cybersecurity services, cloud consulting, or enterprise security product teams.
- Experience building reusable internal frameworks, solution accelerators, or security automation platforms.
- Relevant certifications in the field of AI, Security, Cloud, etc,
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