Agentic AI - Senior Engineer

Agentic AI - Senior Engineer Job Description ESSENTIAL FUNCTIONS Develop complex Agentic AI solutions in an Agile environment as part of a global team of engineers, architects, designers, and product experts. Design, develop, and deploy AI agents, and intelligent workflows using Microsoft Copilot Studio, Claude APIs, and enterprise AI platforms. QUALIFICATIONS Bachelors degree in computer science, Engineering, Artificial Intelligence, or related field. 5+ years of professional software engineering or enterprise technology experience. 2+ years of experience building AI-powered applications, intelligent automation, or conversational AI solutions. Experience with Agentic AI platforms including Microsoft Copilot Studio, Claude, or similar LLM-based platforms . Experience with enterprise integration technologies including Microsoft Graph API, REST APIs, Dataverse, SharePoint, Teams, and SaaS platforms. Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions and knowledge-grounded AI experiences. Experience with prompt engineering, agent orchestration , AI workflows, function calling, and enterprise AI governance. Experience with secure software development practices, Responsible AI principles, and cloud security standards. Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, or equivalent AI coding assistants. Experience with cloud technologies including AWS, Docker, EKS, Lambda, SNS/SQS, and cloud-native architectures. Experience with source control and development workflows including GitHub, BitBucket, Git. Experience with logging, monitoring, and observability tools such as AppDynamics, ArgoCD, CloudWatch, Splunk, and enterprise AI monitoring solutions. Experience evaluating AI solution quality, automation effectiveness, and operational performance. Familiarity with vector databases, semantic search, knowledge management platforms, and enterprise AI architectures. Proven ability to convert ideas into Agentic solution and deliver results in a fast-paced Agile environment. Proven track record of developing and supporting large-scale business-critical platforms and enterprise solutions. Excellent analytical and problem-solving skills with the ability to evaluate AI outputs, identify risks, and recommend improvements. Must be comfortable in a fast-paced, evolving technology landscape. Strong presentation, communication, and collaboration skills with the ability to create and maintain technical documentation and architectural artifacts. Preferred Qualifications Experience with Microsoft Copilot Studio, Claude, or AWS Bedrock. Experience implementing multi-agent orchestration and agentic workflow patterns. Experience with Python, ReactJS, LangChain, Semantic Kernel, MCP (Model Context Protocol), or AI orchestration frameworks. Mandatory Competencies Data AI - GEN AI - Python Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts Data AI - GEN AI - Cloud Application Integration Deployment Data AI - GEN AI - NumPy Data AI - GEN AI - Pandas Data AI - GEN AI - Amazon Bedrock Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph) Data AI - GEN AI - Prompt Engineering / Vector Databases Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - AWS - AWS SNS, AWS SQS, AWS Kinesis DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Git DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Splunk, DataDog, NewRelic, Beh - Communication and collaboration