Principal AI Engineer
EGC Global Services · Bengaluru · onsite · Posted 28d ago
Undisclosed10–12 yrsfulltimeSourced from
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About this role
- Job Characteristics: Define the architectural vision and governance standards for GenAI solutions at scale. Lead the design of intelligent systems leveraging LLMs, agentic workflows, and vector-based retrieval strategies, while ensuring alignment with enterprise-level goals around security, performance, and reusability. This role operates at the intersection of deep technical expertise and cross-functional leadership.Education/Work Experience: Degree and 10-12 years experience.Independence Level/Reports to: Normally reports to AI Engineering Manager or Director.
- Additional Job DescriptionThe Principal Engineer Agentic AI Platform will lead the strategy, architecture, governance, security, and operational management of the enterprise Agentic AI Platform. This role is responsible for building and managing the foundational platform capabilities required to scale AI Agents across the enterprise, including agent orchestration frameworks, LLM platform services, AI security controls, governance frameworks, observability, and operational excellence.The individual will work closely with Enterprise Architecture, Data AI teams, Security, Platform Engineering, and Business stakeholders to establish a secure, scalable, and governed Agentic AI ecosystem that accelerates AI adoption while ensuring compliance, reliability, and responsible AI practices.Key ResponsibilitiesAgentic AI Platform Leadership
- Define and execute the vision, roadmap, and operating model for the enterprise Agentic AI Platform.
- Establish platform capabilities that enable the development, deployment, and management of AI Agents at scale.
- Lead platform engineering teams responsible for Agentic AI infrastructure, tooling, and operational support.
- Drive platform adoption across business domains and enterprise AI initiatives.
Orchestrator Layer Multi-Agent Framework- Design and manage the enterprise orchestration layer for AI agents.
- Establish standards for agent-to-agent communication, workflow orchestration, task planning, memory management, and tool integration.
- Build reusable frameworks that accelerate agent development and deployment.
- Enable integration with enterprise systems, APIs, data sources, and workflow platforms.
LLM Platform Management- Own enterprise LLM services and model infrastructure.
- Evaluate, onboard, and manage proprietary and open-source foundation models.
- Establish model lifecycle management processes, including model selection, benchmarking, deployment, monitoring, and optimization.
- Drive LLM cost management, performance optimization, and reliability engineering.
AI Governance Responsible AI- Define and implement AI governance frameworks, policies, and operating procedures.
- Establish controls for Responsible AI, model risk management, auditability, explainability, and regulatory compliance.
- Partner with Legal, Risk, Compliance, and Information Security teams to ensure AI solutions meet enterprise requirements.
- Create governance reporting and executive dashboards for AI platform adoption and risk management.
AI Security Compliance- Define enterprise AI security architecture and controls.
- Implement safeguards against prompt injection, jailbreak attacks, data leakage, model abuse, and unauthorized access.
- Establish identity, access management, and secret management controls for AI services.
- Ensure compliance with organizational security standards, privacy regulations, and industry best practices.
Observability Platform Operations- Establish comprehensive monitoring for agent performance, model behavior, platform reliability, and operational health.
- Define SLAs, SLOs, and platform support processes.
- Build automated incident management and operational response capabilities.
- Drive continuous improvement through platform telemetry and analytics.
Stakeholder Team Leadership- Lead a team of AI Platform Engineers, MLOps Engineers, AI Security Specialists, and Platform Administrators.
- Collaborate with Enterprise Architects, Data Engineering, Security, and Business stakeholders.
- Provide technical leadership, mentoring, and talent development.
- Manage vendor relationships and strategic technology partnerships.
QualificationsRequired Experience- Bachelor''s or Master''s degree in Computer Science, Engineering, Data Science, or related field.
- 10+ years of experience in software engineering, AI/ML platforms, cloud platforms, or enterprise platform management.
- 5+ years of leadership experience managing engineering or platform teams.
- Experience building and operating enterprise AI/ML platforms.
- Hands-on experience with LLMs, Generative AI, Agentic AI frameworks, and cloud-native architectures.
Preferred Technical Skills- Agentic AI Frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents, etc.)
- LLM Platforms (Azure OpenAI, OpenAI, Anthropic, Gemini, Open Source Models)
- MLOps and AI Operations
- Kubernetes, Docker, API Gateways
- Databricks, Azure AI Foundry, Snowflake
- Security by Design and Zero Trust Architecture
- AI Governance and Responsible AI Frameworks
- DevSecOps and Platform Engineering Practices
Success Metrics- Enterprise adoption of Agentic AI Platform.
- Reduction in time to deploy production-grade AI agents.
- AI platform reliability, scalability, and operational efficiency.
- Compliance with AI governance and security standards.
- Successful implementation of Responsible AI controls.
- Optimized LLM usage, performance, and cost management.
- Improvement in developer productivity and AI solution delivery velocity.
Leadership ProfileA strategic technology leader who combines platform engineering expertise, AI innovation, governance discipline, and operational excellence to build a secure, scalable, and enterprise-grade Agentic AI ecosystem.
Sourced from naukri
Skills
Access ManagementAI infrastructureAzure Aicloud platformsapisai servicesai frameworksai engineerAzure OpenAIai governanceAnalyticsai securitycloudArchitecturecomplianceAi PlatformAi SolutionsMicrosoft AzureArtificial IntelligenceAnthropic SDK
About EGC Global Services
EGC Global Services
Accounting & Auditing
Kochi, Kerala
India
₹6.5L PA avg
Avg at EGC Global Services
About
Founded in 2021, EGC Global Services India Private Limited (EGCGS) is a wholly owned subsidiary of EWIE Group of Companies LLC (EGC). As part of the EGC family, we are proud to be associated with our group companies – EWIE, PSMI, SourcePro, EGC Supply, GSNS. Our parent company, EGC, is headquartered in Ann Arbor Michigan, USA, and is the 27th largest industrial distribution firm in the world.With a presence in 16 countries supporting 250+ programs, EGC is considered a leader in the adoption of new practices and technology solutions that provide value to customers and lead to substantial cost savings. Our division was incorporated in 2021 at Kochi, Kerala India, with a primary focus on being the shared support center for our group companies across Technology, Procure-to-pay, Order-to-cash, E-commerce and Master Data Management Processes.
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