AI Platform Engineer
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Key skills for this role
About the Role
Tata Consultancy Services is hiring an AI Platform Engineer in Dubai to provide day-to-day operational support for AI platforms, including monitoring, incident management, and troubleshooting of AI agents, LLM services, and cloud infrastructure.
Key Skills for This Role
Responsibilities
- Provide day to day monitoring and operational support of AI platform, its dependent AI applications, deployed AI agents, agent runtime environments, AI gateways, and supporting Azure and AWS cloud services
- Lead L2 and L3 incident response across the AI platform and its surrounding AI products
- Troubleshoot the behaviour of single agent and multi agent workflows, including agent orchestration, tool invocation, skill execution, prompt construction, memory and context handling, planning loops, and inter agent coordination
- Support the operational stability of the model serving layer across Azure OpenAI PTU deployments, AWS Bedrock, and Core42 Compass
- Provide hands on operational support of the Azure Kubernetes Service estate hosting agent runtimes and supporting services
- Operate and troubleshoot the Azure API Management layer that serves as both the enterprise API gateway and the MCP Gateway
- Use Comet Opik as the primary observability surface for agent and LLM execution, working with traces, prompts, agent execution paths, latency breakdowns, token usage, errors, and model quality indicators
- Support the production operation of ElevenLabs based voice AI capabilities, including speech generation, voice agent connectivity, real time audio session handling, and API consumption patterns
- Validate releases prior to and immediately following deployment, exercising production verification scripts, smoke tests, and rollback procedures
- Uphold the security and compliance posture of AI platform and dependent AI products
- Drive continuous reduction of manual support effort through automation of routine operational tasks, self healing patterns, monitoring enhancements, and proactive remediation
- Operate as a credible technical counterpart to business units, engineering teams, the Cloud Platform team, Cybersecurity, Architecture, AI Governance, and Service Management
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a closely related discipline
- Approximately 5–7 years of overall IT experience, with significant time spent in cloud application support, platform engineering, DevOps, Site Reliability Engineering, production operations, or senior technical support roles
- Minimum of 2–3 years of relevant experience supporting AI, machine learning, Generative AI, conversational AI, cloud native platforms, or other data intensive enterprise systems
- Experience with cloud AI services (Azure OpenAI, AWS Bedrock, Core42 Compass)
- Experience with agentic AI frameworks (Microsoft Agent Framework, LangGraph)
- Experience with LLM operations and model serving
- Experience with Kubernetes and containers (AKS)
- Experience with API and MCP Gateway (Azure API Management)
- Experience with observability tools (Comet Opik, Azure Monitor, Application Insights, Log Analytics, CloudWatch)
- Experience with DevOps and automation (CI/CD, IaC)
- Experience with voice AI (ElevenLabs) is a plus
- Experience with security and governance in AI platforms
Full Job Posting
Job Description
- Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years.
- We are looking for an AI Platform Engineer to join our team in Dubai.
Key Accountabilities
- Provide day to day monitoring and operational support of Gernas, its dependent AI applications, deployed AI agents, agent runtime environments, AI gateways, and supporting Azure and AWS cloud services.
- Lead L2 and L3 incident response across the Gernas platform and its surrounding AI products.
- Troubleshoot the behaviour of single agent and multi agent workflows, including agent orchestration, tool invocation, skill execution, prompt construction, memory and context handling, planning loops, and inter agent coordination.
- Support the operational stability of the model serving layer across Azure OpenAI PTU deployments, AWS Bedrock, and Core42 Compass.
- Provide hands on operational support of the Azure Kubernetes Service estate hosting Gernas agent runtimes and supporting services.
- Operate and troubleshoot the Azure API Management layer that serves as both the enterprise API gateway and the MCP Gateway for Gernas.
- Use Comet Opik as the primary observability surface for agent and LLM execution, working with traces, prompts, agent execution paths, latency breakdowns, token usage, errors, and model quality indicators.
- Support the production operation of ElevenLabs based voice AI capabilities, including speech generation, voice agent connectivity, real time audio session handling, and API consumption patterns.
- Validate releases prior to and immediately following deployment, exercising production verification scripts, smoke tests, and rollback procedures.
- Uphold the security and compliance posture of Gernas and dependent AI products.
- Drive continuous reduction of manual support effort through automation of routine operational tasks, self healing patterns, monitoring enhancements, and proactive remediation.
- Operate as a credible technical counterpart to business units, engineering teams, the Cloud Platform team, Cybersecurity, Architecture, AI Governance, and Service Management.
Technical Skills
- Cloud AI Services: Azure OpenAI, AWS Bedrock, Core42 Compass
- Agentic AI Frameworks: Microsoft Agent Framework, LangGraph
- LLM Operations: model serving, token management, capacity planning
- Kubernetes and Containers: AKS, pod troubleshooting, autoscaling
- API and MCP Gateway: Azure API Management, MCP protocol
- Observability: Comet Opik, Azure Monitor, Application Insights, Log Analytics, CloudWatch
- DevOps and Automation: CI/CD, IaC (Terraform, Ansible)
- Voice AI: ElevenLabs
- Security and Governance: IAM, secrets management, responsible AI
- Service Management: incident, problem, change management
Knowledge, Skills, & Experience
- Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a closely related discipline.
- Approximately 5–7 years of overall IT experience, with significant time spent in cloud application support, platform engineering, DevOps, Site Reliability Engineering, production operations, or senior technical support roles.
- Minimum of 2–3 years of relevant experience supporting AI, machine learning, Generative AI, conversational AI, cloud native platforms, or other data intensive enterprise systems.
- Banking and Regulated Environment experience is a plus.
- Strong technical troubleshooting and operational skills.
- Excellent communication and leadership abilities.
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