Agentic AI Platform Engineer (PL862)

Platform Engineering & Cloud Development

AI / LLM Implementation

Enterprise Integration & Workflow Automation

Delivery Execution & Technical Collaboration

Quality, Testing & Production Readiness

Required Qualifications

• Proven experience as a Software Developer, AI Engineer, Platform Engineer, Cloud Developer, Full-Stack Developer, or similar hands-on technical role within complex enterprise technology environments.
• Demonstrated experience designing and building software solutions, APIs, integrations, workflow automations, or platform components.
• Experience developing solutions within technically complex environments involving cloud platforms such as AWS and/or Azure, enterprise integrations, and modern software delivery practices.
• Practical experience or strong exposure to Artificial Intelligence (AI), Generative AI (GenAI), Agentic AI, LLM-enabled applications, intelligent automation, or AI-assisted workflow solutions.
• Strong programming experience with languages such as Python, TypeScript, JavaScript, Java, C#, or similar modern development languages.
• Ability to translate business requirements, architecture direction, and delivery plans into working technical solutions.
• Experience working with APIs, databases, cloud services, enterprise applications, document repositories, or workflow platforms.
• Strong understanding of software development lifecycle practices, including design, development, testing, deployment, and support.
• Ability to effectively partner with Delivery Managers, architects, technical leads, business analysts, QA teams, and client stakeholders.
• Strong problem-solving, communication, and execution skills in ambiguous, fast-moving enterprise environments.

Preferred Qualifications

• Experience building or implementing agentic AI applications using frameworks or patterns such as Semantic Kernel, LangChain, AutoGen, CrewAI, Azure AI Foundry, AWS Bedrock Agents, OpenAI Assistants, or similar technologies.
• Experience supporting initiatives involving Artificial Intelligence (AI), Generative AI (GenAI), Agentic AI, intelligent automation, workflow modernization, or platform modernization programs.
• Experience working within financial services, banking, or other highly regulated enterprise environments.
• Exposure to lending operations, servicing, workflow management, process execution, or enterprise operations is considered an asset but is not required.
• Familiarity with retrieval-augmented generation, embeddings, vector databases, document processing, knowledge retrieval, and enterprise search patterns.
• Familiarity with secure software development, cloud security, identity/access management, auditability, and compliance-aware delivery.
• Experience with DevOps practices, CI/CD pipelines, Git-based workflows, infrastructure-as-code, containers, and cloud deployment patterns.
• Familiarity with Jira, ServiceNow, Confluence, Azure DevOps, GitHub, or similar delivery and operational tooling.
• Experience supporting pilots, proofs of concept, MVPs, production deployments, platform stabilization, and operational transitions.

Core Competencies