Principal AI App Dev Engineer - Vice President

We are seeking an innovative Agentic AI Forward Deployed Engineer (FDE) to build the next generation of autonomous AI  the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Technical Product Owner position at Vice President level, which is part of the job family responsible for defining the product vision, prioritizing features, and ensuring the successful delivery of high-quality technical solutions.

What you'll do in the role:

You will design multi-agent architectures that move beyond simple question-answering, enabling AI systems to break down problems, use external APIs, iterate through feedback loops, and operate independently to drive measurable business impact. You will enable transition of engineering teams from "developers" into "system architects". Instead of writing raw code, your focus will be on creating coding/testing agents and setting up "human-in-the-loop" or autonomous feedback harnesses and scaling these capabilities across the organization.

Agent Architecture:
Design and build multi-agent frameworks. Implement human-in-the-loop handoffs, logging, and guardrails to ensure agents comply with data protection and governance standards

Agent-first engineering loop:
Design and build agent skills, tools for desktop coding agents to improve engineering productivity. accelerate SDLC, reduce defects / rework and improve delivery quality through agentic workflows

Evangelism &

Coaching:

Act as a trusted advisor, coaching engineering squads on effectively prompting, reviewing, and evaluating agent outputs. Drive enterprise AI adoption safely

Hands-on programming to develop high performance code, implement application frameworks and develop prototypes to showcase new technology opportunities

What you'll bring to the role:

Overall experience between 7-12 years. Minimum 3 years in a role as Lead Engineer/Technical Architect designing for Distributed applications, Microservices architecture, Fault tolerance and recovery, Performance Engineering, Scaling, Low latency application design, Asynchronous programming

Languages – Proficient in atleast one of Java or C# or Typescript/ReAct. Intermediate level Python Infrastructure - Comfortable shipping production grade systems on Hybrid cloud infra (Docker, K8s, AWS or Azure).AI Foundational : LLM fundamentals (encoder, decoder, and encoder-decoder models; fine-tuning vs. prompt-tuning vs. LoRA);
Prompt engineering (zero-shot, few-shot, and chain-of-thought prompting; prompt testing and optimization);
Vector databases (for embedding storage and similarity search);
Embedding models (selection, generation, and dimensionality considerations).Agentic SDLC Harness:
Design specialized SDLC agent harness loops (requirements, architecture, coding, and testing agents) and manage the interaction and context-sharing between them. Platform Integration (Embed agentic workflows natively into the existing developer ecosystem, CI/CD pipelines, version control, and test harnesses).Copilot/Open AI Codex/Claude Code:
Leverage hands-on familiarity with Copilot/OpenAI Codex or Claude Code to optimize model prompting, tool usage, context construction, developing custom skills and system prompts to improve task solve rates

LangGraph/OpenAI SDK/Claude SDK :
Build autonomous AI agents with Conversational state, Tool calling, Sub agent orchestration

Secondary Skills Agentic AI :
Autonomous agent concepts (multi-step reasoning, goal decomposition, self-reflection loops, and replanning strategies);
Tool-oriented execution (agents calling APIs, executing scripts, interacting with knowledge bases, or triggering workflows);
Safety and governance (guardrails, grounding, hallucination prevention, and ethical AI use);
Agent evaluation (reasoning accuracy, success/failure patterns, Efficiency metrics and Evaluation metrics such as accuracy, F1-score, or perplexity); MCP server concepts (architecture for agent communication and orchestration, request/response flows, streaming data, multi-agent coordination, and contextual…