GenAI / Agentic AI Engineer (US)

TD • Mount Laurel, NJ

1d

About The Position

As a mid‑level GenAI / Agentic AI Engineer, you’ll build, harden, and operate AI solutions built using Azure OpenAI and Python. You’ll implement RAG pipelines, prompt chains, evaluation tests, and secure service integrations to build end-to-end Gen AI solutions. You’ll collaborate with product, architects, and risk partners to ship reliable, responsible GenAI and Agentic AI capabilities. This person develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards. Depth & Scope: Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities Acts as a key contributor in a complex and critical environment May provide leadership to teams or projects; shares expertise Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations

Requirements

• Bachelor's or Graduate degree
• Strong academic background (e.g., computer science, engineering)
• 7 + years relevant experience
• Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
• Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role
• Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities

Nice To Haves

• 2+ years of experience developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG and agentic workflows
• 7+ years of direct experience with Python and other applicable programming languages.
• Hands‑on with Azure OpenAI (completions/chat), embeddings, vector search (Azure AI Search or similar), and RAG basics; comfort with Git, CI/CD, and monitoring.
• Experience with LangChain, LangGraph, AKS; familiarity with enterprise auth (OAuth2/PingFed), APIM, and secret management (Key Vault).
• Understanding of responsible AI guardrails
• Experience in building backend services and APIs that orchestrate LLM prompts, retrieval, and post‑processing with Azure OpenAI and Azure AI Search

Responsibilities

• build, harden, and operate AI solutions built using Azure OpenAI and Python
• implement RAG pipelines, prompt chains, evaluation tests, and secure service integrations to build end-to-end Gen AI solutions
• collaborate with product, architects, and risk partners to ship reliable, responsible GenAI and Agentic AI capabilities
• develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements
• Provides technical expertise with a focus on efficiency, reliability, scalability, and security
• planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards
• Acts as a key contributor in a complex and critical environment
• May provide leadership to teams or projects
• shares expertise
• Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations

Benefits

• Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level