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