Senior, Tax Technology Services - Agentic Engineering Platform for GESTC

Are you someone who wants hands-on experience building the tooling and knowledge infrastructure behind an agentic software development lifecycle? Are you ready to take the next step in your career by building integrations and knowledge bases that other engineering teams will depend on every day? Are you ready to work alongside experienced engineers on a small, high-visibility platform team? If the answer to all of the above questions is “Yes,” come join the world's leading professional services firm. If you are prepared and poised to take the next step in your career, you can help build the platform that powers agentic software delivery across a global business. Then we want to talk to you.

Work you'll do

As a Senior Consultant, Agentic Engineering Platform, you will work alongside the team's Manager and other engineers to build the infrastructure that underpins our agentic software development lifecycle. Day to day, you will write Python to build APIs, automate workflows, and clean and structure the data (both structured and unstructured) that feeds our knowledge bases and tooling. You will build retrieval-augmented generation pipelines against vector databases, using embeddings and evaluation techniques to keep the LLM Wiki and AWS Bedrock-managed knowledge bases accurate and grounded. You will use LangChain, LangGraph, or a comparable orchestration framework to build the agents and stateful workflows that let AWS Kiro read program artifacts such as epics, features, and user stories out of Azure DevOps and turn them into working code. You will also help build integrations between ServiceNow and Azure DevOps that create defects automatically and route pull request assignments to the right developers, and you will build lightweight interfaces, using tools such as Streamlit, Gradio, or React, so engineers and technical program managers can use what you build without touching raw APIs. Beyond these integrations, you will build tools, utilities, and workflows, drawing on pandas, NumPy, and SQL, that help technical program managers identify risk and cross-project dependencies by processing information across the platforms our programs already use. The ideal candidate is a dependable team player who is eager to grow their engineering craft while contributing directly to a platform other teams rely on.  Core responsibilities of the role include:

• Build data and knowledge foundations that prepare structured and unstructured information for the LLM Wiki and AWS Bedrock-managed knowledge bases.
• Engineer grounded AI capabilities by developing retrieval-augmented generation pipelines, agentic workflows, evaluation harnesses, and guardrails that improve accuracy, reliability, and safety.
• Connect the agentic software development lifecycle by integrating AWS Kiro, Azure DevOps, ServiceNow, and related platforms to automate the flow of program artifacts, defects, pull requests, and code updates.
• Develop production-ready platform capabilities including backend services, APIs, lightweight user interfaces, deployment pipelines, logging, and monitoring that enable teams to use tools without direct API access.
• Deliver iterative, well-documented solutions that improve visibility into program risks and dependencies, reduce manual effort, and help engineering and technical program management teams adopt and extend the platform.

A successful candidate would possess these skills:

• Communicates clearly and confidently with technical and non-technical audiences, translating complex ideas, trade-offs, and priorities into simple language.
• Collaborates effectively across teams by building trust, aligning stakeholders, and moving work forward in a fast-paced, cross-functional environment.
• Shows initiative and sound judgment by staying organized, adapting quickly to changing needs, and delivering high-quality work with minimal direction.

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