Senior Engineer – Gen AI /Agentic AI (US)

TD • Mount Laurel, NJ

1d • Onsite

About The Position

The Senior Engineer – Gen AI /Agentic AI (US) provides deep technical leadership, domain specialization and expertise, and sets direction in developing and implementing solutions to address emerging business needs and strategies and also advances the overall design architecture and technology capabilities in accordance with industry developments. Role is also influential to Senior Leaders and provides guidance and governance to other technology groups and business areas. Depth & Scope: Top technical individual contributor expert role with knowledge of specific domain or broad range of engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues and relevant technology Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role Engineering specialist assigned to work autonomously on high profile, complex and/or high risk technology initiatives with significant impact to the organization Provides technical leadership/consulting/direction to a larger team on all aspects of engineering

Requirements

• Bachelor's or Graduate degree
• Strong academic background (e.g., computer science, engineering)
• 10+ years relevant experience

Nice To Haves

• 10+ Years experience building and delivering enterprise grade solutions at financial institutions using various different programming languages
• 2+ years of experience in Python for developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG and agentic workflows
• Hands-on experience with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), large language models (LLMs), chain-of-thought prompting, knowledge stores, and embeddings
• Expert level knowledge of prompt engineering techniques and model fine-tuning
• Strong understanding of cybersecurity principles as they apply to AI systems, including threat modeling and vulnerability assessment.
• Hands on with Azure OpenAI (GPT 4/4 Turbo, Assistants/On Your Data), Azure AI Search/vector indexing, embeddings, and prompt engineering; proven RAG implementations.

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
• Number of Employees: 101-250 employees