Senior AI Engineer Agentic Solutions

Job Summary

The Senior AI Engineer will design, develop, and deploy AI-native, agentic solutions that transform and modernize business workflows. This role focuses on building production-grade AI systems from the ground up, leveraging large language models (LLMs), agent orchestration frameworks, retrieval-augmented generation (RAG), and enterprise integrations. The ideal candidate will be a hands-on engineer with experience delivering scalable AI solutions in enterprise environments while ensuring compliance with governance, security, and data management standards.

Key Responsibilities

• Design, develop, and deploy end-to-end agentic AI solutions that automate, enhance, or reimagine business workflows.

• Architect multi-step AI agent pipelines utilizing tool-calling, memory management, retrieval-augmented generation (RAG), and orchestration frameworks.

• Implement human-in-the-loop workflows and escalation mechanisms for complex or high-risk decision-making processes.

• Integrate AI systems with enterprise data sources, internal APIs, and third-party platforms while adhering to security and governance requirements.

• Ensure data quality, model grounding, reliability, observability, and resilient failure handling in production environments.

• Manage large language model (LLM) integrations, prompt strategies, model selection, and version management.

• Develop and maintain AI-enabled APIs, data pipelines, and supporting infrastructure.

• Build and optimize vector database solutions and retrieval systems.

• Deliver solutions from proof of concept through pilot and production deployment.

• Collaborate with business stakeholders, process owners, domain experts, and governance teams to develop trusted AI solutions.

• Monitor, evaluate, and continuously improve deployed AI and agentic systems.

• Stay current with emerging AI technologies, frameworks, and best practices.

Required Qualifications

• Bachelor's degree in a STEM-related discipline.

• 5+ years of experience in software engineering or a related technical field.

• 2+ years of experience in AI/ML, LLM-based solutions, and agentic AI system development.

• Strong proficiency in Python development.

• Experience developing and integrating REST APIs.

• Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines.

• Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or similar technologies.

• Experience deploying, monitoring, and maintaining AI and LLM-based workflows in production environments.

• Experience developing data pipelines and supporting AI-driven applications.

• Experience working with vector databases and semantic search solutions.

• Knowledge of cloud platforms, preferably Microsoft Azure, including Azure AI Foundry and Azure AI Search, or comparable AWS services.

• Strong problem-solving, analytical, and solution design skills.

• Ability to work independently and manage projects through full development lifecycles.

• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Databricks in enterprise environments.

• Experience building enterprise-scale agentic AI platforms and architectures.

• Experience implementing AI governance, security, and compliance controls.

• Experience with advanced prompt engineering techniques and model evaluation frameworks.

• Experience integrating AI solutions with complex enterprise applications and data ecosystems.

• Experience working with multi-agent architectures and workflow orchestration frameworks.

Certifications

• Relevant cloud, AI, or machine learning certifications related to Microsoft Azure, AWS, or Generative AI technologies - Preferred.