AI Engineer
First seen by Alion on Aug 29, 2026.
Client :
Founded in 1990, headquartered in Troy, Michigan, they are a global provider of Information Technology and Business Process Services and Solutions. Their expertise in consulting, design, engineering, and operations helps them provide innovative technology services, positioning them as a technology partner of choice.
With over 10k+ employees they leverage their domain expertise in multiple verticals and harness emerging technologies (Robotic Process Automation (RPA), Internet of Things (IoT), Cybersecurity, Artificial Intelligence, Machine Learning, and much more) to enable their clients build future-ready and sustainable businesses.
Position : AI Engineer
Experience : 5y - 7y
Location : Bengaluru (Candidates must be based in Bengaluru)
Work Mode : In Office
Shift Mode : Afternoon (UK)
CTC Offered: As per experience and skillsets
Joining : Immediate (Immediate joiners preferred)
Interview process : 2 rounds. In person interview.
Job Overview :
Design and operate AI-driven, agentic workflows that automate identity governance, access management, and security operations while maintaining strong human oversight and compliance.
Responsibilities :
- Design AI-Driven IAM Workflows : Build agentic workflows to automate identity use cases such as access requests, JML exceptions, certifications, policy enforcement, and entitlement reviews.
- Intelligent Access & Risk Analysis : Use AI to analyze identity, entitlement, and activity data to recommend approvals, detect anomalies, and highlight high-risk access patterns.
- IAM, PAM & ITSM Integration : Integrate AI agents with existing IAM tools, PAM platforms, and ServiceNow to orchestrate end-to-end identity operations.
- Human-in-the-Loop Governance: Implement guardrails where AI handles routine tasks, while sensitive IAM, PAM, and NHI decisions require human approval.
- Workflow Optimization & Learning : Continuously improve automation based on audit outcomes, incident trends, and operational feedback.
- AI Security, Compliance & Data Governance : Ensure AI workflows meet security, privacy, and compliance standards for identity and privileged data access.
Requirement :
- 5y - 7y experience
- Familiarity with automation, workflows, and integrations (APIs, scripts, connectors)
- Exposure to AI/ML, copilots, or agentic systems - should have completed industry projects
- Have a good understanding of how to build AI Products - someone who has already done 0 to 1
- Must know what an AI product is (which is a combination of LLM + MCP + Infra + Security + UX + Governance)
Educational Qualification : BE/BTech/MTech/MCA only
Skills
Artificial Intelligence, iAM, ITSM, Security Architect - AI, Machine Learning, LLM, Copilot, AI Integration